How to integrate Productboard MCP with LangChain

This guide walks you through connecting Productboard to LangChain using the Composio tool router. By the end, you'll have a working Productboard agent that can create a new feature idea in productboard, list all features in the current release, add customer feedback to a specific feature through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Productboard account through Composio's Productboard MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Productboard is a product management platform that consolidates feedback and prioritizes features. It helps teams align roadmaps with customer insights and strategic goals.

99 Tools

Introduction

This guide walks you through connecting Productboard to LangChain using the Composio tool router. By the end, you'll have a working Productboard agent that can create a new feature idea in productboard, list all features in the current release, add customer feedback to a specific feature through natural language commands.

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

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

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OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Productboard project to Composio
  • Create a Tool Router MCP session for Productboard
  • Initialize an MCP client and retrieve Productboard tools
  • Build a LangChain agent that can interact with Productboard
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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

The Productboard MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Productboard account. It provides structured and secure access to your product management workspace, so your agent can perform actions like managing feature ideas, collecting user feedback, prioritizing roadmap items, and aligning strategic goals on your behalf.

  • Centralized feedback collection: Let your agent gather, aggregate, and organize product feedback from stakeholders and customers, so nothing slips through the cracks.
  • Feature and idea management: Enable your agent to create, update, categorize, and prioritize feature ideas or product requests in your Productboard workspace.
  • Roadmap planning and alignment: Ask your agent to assist in building and updating product roadmaps, ensuring initiatives align with business objectives and customer needs.
  • Insightful prioritization workflows: Have the agent score, sort, and recommend features for development using built-in prioritization frameworks and customer impact data.
  • Collaboration and stakeholder updates: Empower your agent to share status updates, progress changes, and new plans with internal teams and stakeholders directly from Productboard.

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 starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Productboard functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Productboard tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['productboard']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Productboard tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Productboard tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "productboard-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Productboard MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Productboard tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Productboard related question or task to the agent.\n");

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

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;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Productboard and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['productboard']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "productboard-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Productboard related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    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;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Productboard through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS

Supported Tools

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

Add Note Followers

Tool to add multiple followers to a Productboard note.

Add Note Tag

Adds a tag to a Productboard note for categorization and organization.

Create Company in Productboard

Tool to create a new company in Productboard.

Create Company Custom Field

Tool to create a new custom field for companies.

Create Component

Tool to create a new (sub)component under a product or component.

Create Entity Relationship

Tool to create a relationship between two entities in Productboard.

Create Entity (v2)

Tool to create a new entity in Productboard using the v2 API.

Create Feature

Tool to create a new feature or subfeature in Productboard.

Create Feature-Objective Link

Tool to create a link between a feature and an objective (OKR).

Create Note Link

Tool to create a link between a note and an entity.

Create Note (v2)

Tool to create a new note in Productboard using the v2 API.

Create Objective

Tool to create a new objective in Productboard.

Create Objective-Feature Link

Tool to create a new link between an objective and a feature.

Create Release

Tool to create a new release in Productboard.

Create User

Tool to create a new user in Productboard.

Create Webhook Subscription

Tool to create a new webhook subscription.

Delete Company

Tool to delete a specific company.

Delete Company Field

Tool to delete a specific company custom field.

Delete Custom Field Value

Tool to delete a custom field value from a hierarchy entity in Productboard.

Delete Entity Relationship

Tool to delete a relationship between two entities.

Delete Entity V2

Tool to delete a PM entity using the v2 API.

Delete Feature

Tool to delete a specific feature.

Delete Feature Objective Link

Tool to delete a link between a feature and an objective.

Delete Initiative

Tool to delete a specific initiative.

Delete Key Result

Tool to delete a specific key result from Productboard.

Delete Note Relationship

Tool to delete a note relationship.

Delete Note V2

Tool to delete a note using the v2 API.

Delete Note Tag

Tool to remove a tag from a Productboard note.

Delete Objective

Tool to delete a specific objective from Productboard.

Delete Objective-Feature Link

Tool to delete a link between an objective and a feature.

Delete Release

Tool to delete a specific release.

Delete User

Tool to delete a specific user.

Delete Webhook Subscription

Tool to delete a webhook subscription.

Get Component

Tool to retrieve details of a specific component.

Get Custom Field Value

Tool to retrieve a custom field's value for a specific hierarchy entity.

Get Entity Configuration

Tool to retrieve entity configuration for a specific type.

Get Entity V2

Tool to retrieve a PM entity using the v2 API.

Get Feature Release Assignment

Tool to retrieve a specific feature release assignment.

Get Hierarchy Entity Custom Field

Tool to retrieve a specific custom field definition for hierarchy entities.

Get Notes Configuration V2

Tool to retrieve note configuration by type (simple, conversation, or opportunity).

Get Note V2

Tool to retrieve a note using the v2 API.

Get Objective

Tool to retrieve details of a specific objective.

Get Release

Tool to retrieve details of a specific release by ID.

Get Release Group

Tool to retrieve details of a specific release group.

Get Webhook Subscription

Tool to retrieve details of a specific webhook subscription.

List Analytics Member Activities V2

Tool to retrieve member activity analytics data from Productboard.

List Companies

Tool to list companies.

List Company Custom Fields

Lists all custom field definitions for companies in your Productboard workspace.

List Custom Fields

Lists custom field definitions for hierarchy entities (Products, Components, Features).

List Custom Field Values

Lists custom field values for hierarchy entities (products, components, features) in Productboard.

List Entities Configurations V2

Tool to retrieve configurations for all entity types in Productboard.

List Entity Relationships

Tool to retrieve relationships for an entity in Productboard.

List Entities V2

Tool to list entities from Productboard using the v2 API.

List Feature Initiatives

Tool to list initiatives linked to a given feature.

List Feature Objectives

Lists all objectives (OKRs) linked to a top-level feature.

List Feature Release Assignments

Tool to list feature–release assignments.

List Feature Statuses

Tool to list feature statuses.

List Feedback Form Configurations

Tool to list feedback form configurations.

List Initiatives

Tool to list initiatives from Productboard.

List Jira Integrations

Tool to list Jira integrations.

List Key Results

List key results from Productboard.

List Notes Configurations V2

Tool to list note configurations from Productboard v2 API.

List Note Links

Tool to list links associated with a note.

List Note Relationships V2

Tool to retrieve relationships associated with a note.

List Notes V2

Tool to retrieve a paginated list of notes from Productboard using the v2 API.

List Note Tags

Tool to retrieve all tags associated with a specific Productboard note.

List Objective Linked Features

Lists all features linked to a specific objective.

List Objective Linked Initiatives

Tool to list initiatives linked to a specific objective.

List Plugin Integrations

List all plugin integrations in the Productboard workspace.

List Release Groups

Lists all release groups in the Productboard workspace.

List Releases

Tool to list all releases in Productboard.

List Users

Retrieves a paginated list of all users in the Productboard workspace.

List Webhook Subscriptions

Tool to list all webhook subscriptions.

Remove Note Follower

Tool to remove a follower from a Productboard note.

Retrieve Company

Tool to retrieve details of a specific company.

Retrieve Company Field

Tool to retrieve details of a specific company custom field.

Retrieve Company Field Value

Tool to retrieve a specific company custom field value.

Retrieve Feature

Tool to retrieve details of a specific feature.

Retrieve Product

Tool to retrieve details of a specific product.

Retrieve User

Tool to retrieve details of a specific user.

List SCIM Users

Tool to list users via SCIM.

Search Entities V2

Tool to search for entities across Productboard using the v2 API.

Set Company Field Value

Tool to set or replace a specific company custom field's value.

Set Custom Field Value

Tool to set a custom field value on a hierarchy entity.

Set Entity Parent Relationship

Tool to set parent relationship on an entity.

Set Feature Release Assignment

Tool to update a feature release assignment.

Set Features

Tool to update a feature by ID.

Set Note Customer Relationship

Tool to set a customer relationship on a note in Productboard.

Set Product

Tool to update a product using PUT method in Productboard.

Update Company Custom Field

Tool to update a company custom field name.

Update Company

Tool to update an existing company in Productboard.

Update Component

Tool to update an existing component.

Update Entity V2

Tool to update a PM entity using the v2 API.

Update Features

Tool to update a feature in Productboard.

Update Note V2

Tool to update a note using the v2 API.

Update Objective

Tool to update an existing objective in Productboard.

Update Product

Tool to update a product in Productboard.

Update Release

Tool to update an existing release in Productboard.

Update User

Tool to update a user's information.

FRAMEWORKS

How to build Productboard MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Productboard MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Productboard MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Productboard MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Productboard MCP with Claude Cowork

Codex logo

Codex

Use Productboard MCP with Codex

OpenClaw logo

OpenClaw

Use Productboard MCP with OpenClaw

Hermes logo

Hermes

Use Productboard MCP with Hermes

CLI logo

CLI

Use Productboard MCP with CLI

Google ADK logo

Google ADK

Use Productboard MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Productboard MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Productboard MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Productboard MCP with LlamaIndex

CrewAI logo

CrewAI

Use Productboard MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. LangChain 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 Productboard tools.

Yes, absolutely. You can configure which Productboard 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 Productboard 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.

Harsha Gaddipati
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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Abhi Arya
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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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.

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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.

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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.

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Co-Founder, Ingram Technologies