How to integrate Ashby MCP with LlamaIndex

This guide walks you through connecting Ashby to LlamaIndex using the Composio tool router. By the end, you'll have a working Ashby agent that can list all candidates for open roles, post a new job opening for engineering, summarize candidates in interview stage through natural language commands. This guide will help you understand how to give your LlamaIndex agent real control over a Ashby account through Composio's Ashby MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Ashby is an applicant tracking system that handles job postings, candidate management, and hiring analytics.

125 Tools

Introduction

This guide walks you through connecting Ashby to LlamaIndex using the Composio tool router. By the end, you'll have a working Ashby agent that can list all candidates for open roles, post a new job opening for engineering, summarize candidates in interview stage through natural language commands.

This guide will help you understand how to give your LlamaIndex agent real control over a Ashby account through Composio's Ashby MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Ashby with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AICrewAI

TL;DR

Here's what you'll learn:
  • Set your OpenAI and Composio API keys
  • Install LlamaIndex and Composio packages
  • Create a Composio Tool Router session for Ashby
  • Connect LlamaIndex to the Ashby MCP server
  • Build a Ashby-powered agent using LlamaIndex
  • Interact with Ashby through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

  • ReAct Agent: Reasoning and acting pattern for tool-using agents
  • MCP Tools: Native support for Model Context Protocol
  • Context Management: Maintain conversation context across interactions
  • Async Support: Built for async/await patterns

What is the Ashby MCP server, and what's possible with it?

The Ashby MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ashby account. It provides structured and secure access to your recruiting data, so your agent can perform actions like managing job postings, tracking candidate progress, scheduling interviews, and generating hiring reports on your behalf.

  • Automated job posting management: Easily create, update, or close job listings across your organization with direct agent assistance.
  • Candidate pipeline tracking: Have your agent fetch, organize, and update candidate progress through every stage of the hiring process.
  • Interview scheduling and coordination: Let your agent schedule interviews, send calendar invites, and manage interviewer assignments to streamline the process.
  • Data-driven hiring analytics: Generate reports and insights about your hiring funnel, candidate sources, and time-to-hire with a simple agent request.
  • Centralized communication with applicants: Enable your agent to send status updates, feedback, or reminders to candidates, keeping everyone in the loop automatically.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before you begin, make sure you have:
  • Python 3.8/Node 16 or higher installed
  • A Composio account with the API key
  • An OpenAI API key
  • A Ashby account and project
  • Basic familiarity with async Python/Typescript
2

Getting API Keys for OpenAI, Composio, and Ashby

OpenAI API key (OPENAI_API_KEY)
  • Go to the OpenAI dashboard
  • Create an API key if you don't have one
  • Assign it to OPENAI_API_KEY in .env
Composio API key and user ID
  • Log into the Composio dashboard
  • Copy your API key from Settings
    • Use this as COMPOSIO_API_KEY
  • Pick a stable user identifier (email or ID)
    • Use this as COMPOSIO_USER_ID
3

Installing dependencies

npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv

Create a new Typescript project and install the necessary dependencies:

  • @composio/llamaindex: Composio's LlamaIndex integration
  • @llamaindex/openai: OpenAI LLM integration
  • @llamaindex/tools: MCP client for LlamaIndex
  • @llamaindex/workflow: Workflow framework for LlamaIndex
  • dotenv: Environment variable management
4

Set environment variables

bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

  • Authenticate with OpenAI's GPT-5 model
  • Connect to Composio's Tool Router
  • Identify your Composio user session for Ashby access
5

Import modules

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

Create a new file called ashby_llamaindex_agent.ts and import the required modules:

Key imports:

  • dotenv.config loads .env at runtime
  • readline gives us a simple CLI chat loop
  • Composio is the main Composio SDK client
  • mcp connects to an MCP endpoint
  • createAgent builds a LlamaIndex agent
  • openai configures the LLM backend
6

Load environment variables and initialize Composio

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

7

Create a Tool Router session and build the agent function

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["ashby"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Ashby actions." ,
    llm,
    tools,
  });

  return agent;
}

What's happening here:

  • We create a Composio client using your API key and configure it with the LlamaIndex provider
  • We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, ashby)
  • The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
  • LlamaIndex will connect to this endpoint to dynamically discover and use the available Ashby tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
8

Create an interactive chat loop

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

What's happening:

  • We're creating a direct terminal interface to chat with Ashby
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • The agent processes the request, selects appropriate Ashby tools, and returns a result
  • We extract the answer from the result data structure and display it to the user
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are streamed in a clear, readable format
9

Define the main entry point

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();

What's happening here:

  • We're orchestrating the entire application flow
  • The agent gets built with proper error handling
  • Then we kick off the interactive chat loop so you can start talking to Ashby
10

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Ashby, then start asking questions.

Complete Code

Here's the complete code to get you started with Ashby and LlamaIndex:

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["ashby"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Ashby actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();

Conclusion

You've successfully connected Ashby to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Ashby tools through an MCP endpoint
  • LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
  • The agent becomes more capable without increasing prompt size
  • Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.
TOOLS

Supported Tools

Every Ashby action and event your agent gets out of the box.

Add Candidate to Project

Add a candidate to a project in Ashby.

Add Candidate Tag

Add a tag to a candidate in Ashby.

Add Hiring Team Member

Add an Ashby user to a hiring team at the application, job, or opening level.

Add User to Interviewer Pool

Add a user to an interviewer pool.

Add Opening Job

Adds a job to an opening (job requisition) in Ashby ATS.

Add Opening Location

Tool to add a location to an opening (job requisition).

Anonymize Candidate

Anonymize a candidate by removing personally identifiable information.

Approve Offer

Approve an offer or a specific approval step within an offer's approval process.

Archive Department

Archive a department by its unique identifier.

Archive Interviewer Pool

Archive an interviewer pool in Ashby.

Archive Location

Archives a location or location hierarchy in Ashby.

Change Application Source

Change the source attribution of an application.

Change Application Stage

Move an application to a different interview stage in the hiring pipeline.

Create Application

Create a new job application by associating a candidate with a job opening in Ashby ATS.

Create Candidate

Create a new candidate in the system.

Create Candidate Note

Create a note on a candidate profile.

Create Candidate Tag

Create a new candidate tag in Ashby for categorizing and organizing candidates.

Create Custom Field

Create a new custom field in Ashby.

Create Department

Create a new department.

Create Interviewer Pool

Create a new interviewer pool.

Create Job

Create a new job opening in Ashby ATS.

Create Location

Create a new location or location hierarchy.

Create Offer

Create a new offer for a candidate in Ashby ATS.

Create Opening

Create a new opening (job requisition) in Ashby ATS.

Create Referral

Create a referral in Ashby ATS by submitting a referral form with candidate information.

Create Survey Request

Generate a survey request and receive a survey URL to send to a candidate.

Create Survey Submission

Create a new survey submission for a candidate's application.

Get API Key Info

Retrieve information about the current API key, including associated organization, user details, and permissions.

Get Application Info

Retrieve detailed information about a specific application by its ID.

Get Candidate Info

Retrieve detailed information about a specific candidate by their ID.

Get Custom Field Info

Retrieve detailed information about a specific custom field by its ID.

Get Department Info

Retrieve detailed information about a specific department by its ID.

Get Feedback Form Definition

Retrieve detailed information about a specific feedback form definition by its ID.

Get File Info

Retrieve the URL of a file associated with a candidate.

Get Interviewer Pool Info

Retrieve detailed information about a specific interviewer pool by its ID.

Get Interviewer User Settings

Get interviewer settings for a specific user by their ID.

Get Interview Info

Retrieve detailed information about a specific interview type by its ID.

Get Interview Stage Info

Tool to fetch interview stage details by ID.

Get Job Info

Retrieve detailed information about a specific job by its ID.

Get Job Interview Plan Info

Retrieve the interview plan information for a specific job.

Get Job Posting Info

Retrieve detailed information about a specific job posting by its ID.

Get Location Info

Retrieve detailed information about a specific location by its ID.

Get Offer Info

Retrieve detailed information about a specific offer by its ID.

Get Opening Info

Retrieve detailed information about a specific opening (job requisition) by its ID.

Get Referral Form

Fetches the default referral form or creates a default referral form if none exists.

Get Survey Form Definition

Retrieve detailed information about a specific survey form definition by its ID.

Get User Info

Retrieve detailed information about a specific user by their ID.

List Application Criteria Evaluations

Retrieve AI-generated criteria evaluations for an application.

List Application Feedback

Retrieve all feedback submissions for an application.

List Application Hiring Team Roles

Retrieve all available hiring team roles for applications in the organization.

List Application History

Retrieve the complete history of stage transitions for an application.

List Applications

Retrieve a list of applications with optional pagination and sync-token filtering for incremental updates.

List Approvals

Retrieve a list of approvals (offer approvals, job approvals, etc.

List Archive Reasons

Retrieve a list of all archive reasons.

List Brands

Retrieve a list of all brands for the organization.

List Candidate Client Info

Retrieve all client info records for a specific candidate with pagination support.

List Candidate Notes

Retrieve all notes for a specific candidate in Ashby.

List Candidate Projects

Retrieve all projects associated with a candidate.

List Candidates

Retrieve a list of candidates.

List Candidate Tags

Retrieve a list of all candidate tags in your Ashby account.

List Close Reasons

Lists all close reasons for jobs or openings.

List Communication Templates

Retrieve a list of all communication templates.

List Custom Fields

Retrieve a list of all custom field definitions configured in Ashby.

List Departments

Retrieve a list of all departments in the organization.

List Feedback Form Definitions

Retrieve all feedback form definitions from your Ashby organization.

List Hiring Team Roles

Retrieve a list of possible hiring team roles in the organization.

List Interviewer Pools

Retrieve a list of all interviewer pools.

List Interview Events

Retrieves all interview events for a specific interview schedule.

List Interview Plans

Retrieve a list of interview plans.

List Interview Types

List all interview types defined in Ashby.

List Interview Schedules

Retrieve a list of interview schedules.

List Interview Stage Groups

Retrieve a list of interview stage groups.

List Interview Stages

Retrieve all interview stages for an interview plan in order.

List Job Boards

Retrieve a list of job boards.

List Job Postings

Retrieve a list of job postings.

List Jobs

Retrieve a list of all jobs from Ashby ATS (Applicant Tracking System).

List Job Templates

Retrieve a list of all job templates from Ashby ATS.

List Locations

Retrieve a list of all locations.

List Offers

Retrieve a list of job offers with their latest versions.

List Openings

Retrieve a list of openings (job requisitions).

List Projects

Retrieve a list of all projects.

List Sources

Retrieve a list of all candidate sources.

List Source Tracking Links

Retrieve all source tracking links configured in Ashby.

List Survey Form Definitions

Retrieve a list of all survey form definitions from Ashby.

List Survey Submissions

Lists all survey submissions of a given survey type from Ashby.

List Users

Retrieve a list of all users in the organization.

Move Department

Tool to move a department to another parent in the organizational hierarchy.

Move Location

Tool to move a location to a different parent in the location hierarchy.

Remove Hiring Team Member

Remove an Ashby user from a hiring team at the application, job, or opening level.

Remove User from Interviewer Pool

Remove a user from an interviewer pool.

Remove Opening Job

Remove a job from an opening (job requisition) in Ashby ATS.

Remove Opening Location

Tool to remove a location from an opening (job requisition).

Restore Department

Restore an archived department by its unique identifier.

Restore Interviewer Pool

Restore an archived interviewer pool in Ashby.

Restore Location

Restores an archived location or location hierarchy in Ashby.

Search Candidates

Search for candidates by email or name.

Search Jobs

Search for jobs by title in Ashby ATS (Applicant Tracking System).

Search Opening

Search for openings by identifier.

Search Projects

Search for projects by title in Ashby.

Search Users

Search for an Ashby user by email address.

Set Custom Field Value

Set the value of a custom field for a given object (candidate, application, job, etc.

Set Custom Field Values

Set the values of multiple custom fields for a given object in a single call.

Set Job Status

Set the status of a job in Ashby ATS (Applicant Tracking System).

Set Opening Archived

Sets the archived state of an opening.

Set Opening State

Set the workflow state of an opening (job requisition).

Start Offer

Create a new offer version instance for an in-progress offer process.

Start Offer Process

Start an offer process for a candidate's application in Ashby ATS.

Submit Application Feedback

Submit structured feedback for an application using a feedback form.

Transfer Application

Transfer an application to a different job position in Ashby ATS.

Update Application

Update an application's properties in Ashby.

Update Application History

Update the complete history of an application's stage transitions.

Update Candidate

Update an existing candidate's profile information in Ashby ATS.

Update Job Compensation

Update a job's compensation tiers in Ashby ATS.

Update Department

Update an existing department's information such as its name.

Update Interviewer Pool

Update an existing interviewer pool's title or training requirements.

Update Job

Update an existing job's properties in Ashby ATS.

Update Job Posting

Update an existing job posting's details including title, description, and visibility status.

Update Location Address

Update the address of a location or location hierarchy.

Update Location External Name

Update a location's external (candidate-facing) name.

Update Location Name

Update a location's name.

Update Location Remote Status

Tool to update a location's remote status.

Update Location Workplace Type

Tool to update a location's workplace type (OnSite, Remote, or Hybrid).

Update Opening

Update properties of an existing opening (job requisition).

Update Selectable Values Custom Field

Update the selectable values for a ValueSelect or MultiValueSelect custom field.

Update User Interviewer Settings

Update interviewer settings for a user, including daily and weekly interview limits.

FRAMEWORKS

How to build Ashby MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Ashby MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Ashby MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Ashby MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Ashby MCP with Claude Cowork

Codex logo

Codex

Use Ashby MCP with Codex

OpenClaw logo

OpenClaw

Use Ashby MCP with OpenClaw

Hermes logo

Hermes

Use Ashby MCP with Hermes

CLI logo

CLI

Use Ashby MCP with CLI

Google ADK logo

Google ADK

Use Ashby MCP with Google ADK

LangChain logo

LangChain

Use Ashby MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Ashby MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Ashby MCP with Mastra AI

CrewAI logo

CrewAI

Use Ashby MCP with CrewAI

FAQ

Frequently asked questions

With a standalone Ashby MCP server, the agents and LLMs can only access a fixed set of Ashby tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ashby and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. LlamaIndex fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Ashby tools.

Yes, absolutely. You can configure which Ashby scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Ashby data and credentials are handled as safely as possible.

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

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Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies