How to integrate Bidsketch MCP with Mastra AI

This guide walks you through connecting Bidsketch to Mastra AI using the Composio tool router. By the end, you'll have a working Bidsketch agent that can add a new client for acme corp, list all proposals for client id 1234, delete the proposal with id 5678 through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Bidsketch account through Composio's Bidsketch MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.

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Introduction

This guide walks you through connecting Bidsketch to Mastra AI using the Composio tool router. By the end, you'll have a working Bidsketch agent that can add a new client for acme corp, list all proposals for client id 1234, delete the proposal with id 5678 through natural language commands.

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

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

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TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Bidsketch tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Bidsketch tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Bidsketch agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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

The Bidsketch MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bidsketch account. It provides structured and secure access to your proposals and client data, so your agent can perform actions like creating clients, managing proposals, organizing sections, and handling fees on your behalf.

  • Client creation and management: Easily have your agent add new clients to Bidsketch or retrieve detailed client information by ID.
  • Proposal organization and cleanup: Direct your agent to list, delete, or manage proposals for specific clients, streamlining your workflow and keeping things tidy.
  • Section and fee management: Let your agent add or remove proposal sections and fees, ensuring each proposal is perfectly structured before sending.
  • Webhook and automation controls: Remove webhooks or automate repetitive admin tasks to keep your Bidsketch account running smoothly with minimal manual effort.

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Bidsketch through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

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

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Bidsketch

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["bidsketch"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Bidsketch MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "bidsketch" for Bidsketch access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Bidsketch toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "bidsketch-mastra-agent",
    instructions: "You are an AI agent with Bidsketch tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        bidsketch: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Bidsketch toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Bidsketch and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

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

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["bidsketch"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      bidsketch: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "bidsketch-mastra-agent",
    instructions: "You are an AI agent with Bidsketch tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { bidsketch: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Bidsketch through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

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

Create Client

Tool to create a client.

Create Proposal

Tool to create a new proposal.

Delete Client

Tool to delete a client and all their proposals.

Delete Fee

Tool to delete a fee.

Delete Proposal

Tool to delete a proposal and all its content.

Delete Proposal Fee

Tool to delete a proposal fee.

Delete Proposal Section

Tool to delete a proposal section.

Delete Section

Tool to delete a section.

Delete Webhook

Permanently delete a webhook subscription by ID.

Get Client

Tool to get a client by ID.

Get Client Proposals

Tool to list proposals for a specific client.

Get Clients

Tool to retrieve all clients.

Get Fee

Tool to get a single fee.

Get Fees

Tool to list all the fees for the account.

Get Proposal

Tool to get a proposal by ID.

Get Proposal Content

Tool to get a proposal with all its content (sections and fees).

Get Proposal Fee

Tool to get a single fee item for a proposal.

Get Proposal Fees

Tool to list all fees for a proposal.

Get Proposals

Tool to retrieve all proposals for the account.

Get Proposal Section

Tool to fetch a single proposal section.

Get Proposal Sections

Tool to get all sections for a proposal.

Get Proposal Stats

Get proposal statistics for your Bidsketch account.

Get Section

Tool to fetch a section by ID.

Get Sections

Retrieves all reusable proposal sections saved to your Bidsketch account.

Get Templates

Retrieves all proposal templates saved in the account.

List Proposal Closing Sections

Tool to get a collection of closing sections for a proposal.

List Proposal Opening Sections

Tool to get a collection of opening sections for a proposal.

Create Fee

Tool to create a fee.

Create Proposal Fee

Tool to create a proposal fee.

Create Proposal Section

Tool to create a proposal section.

Create Section

Tool to create a section.

Create Webhook

Create a webhook subscription in Bidsketch to receive real-time notifications when specific events occur.

Update Client

Tool to update a client.

Update Fee

Tool to update a fee.

Update Proposal

Tool to update a specific proposal's details.

Update Proposal Fee

Tool to update a proposal fee.

Update Proposal Section

Tool to update a proposal section.

Update Section

Tool to update a section.

FRAMEWORKS

How to build Bidsketch MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Bidsketch MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Bidsketch MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Bidsketch MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Bidsketch MCP with Claude Cowork

Codex logo

Codex

Use Bidsketch MCP with Codex

OpenClaw logo

OpenClaw

Use Bidsketch MCP with OpenClaw

Hermes logo

Hermes

Use Bidsketch MCP with Hermes

CLI logo

CLI

Use Bidsketch MCP with CLI

Google ADK logo

Google ADK

Use Bidsketch MCP with Google ADK

LangChain logo

LangChain

Use Bidsketch MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Bidsketch MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Bidsketch MCP with LlamaIndex

CrewAI logo

CrewAI

Use Bidsketch MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. Mastra AI 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 Bidsketch tools.

Yes, absolutely. You can configure which Bidsketch 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 Bidsketch data and credentials are handled as safely as possible.

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