How to integrate Productboard MCP with LlamaIndex

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Introduction

This guide walks you through connecting Productboard to LlamaIndex 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 LlamaIndex 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.

Also integrate Productboard with

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 Productboard
  • Connect LlamaIndex to the Productboard MCP server
  • Build a Productboard-powered agent using LlamaIndex
  • Interact with Productboard 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 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.

Supported Tools & Triggers

Tools
Add Note FollowersTool to add multiple followers to a Productboard note.
Add Note TagAdds a tag to a Productboard note for categorization and organization.
Create Company in ProductboardTool to create a new company in Productboard.
Create Company Custom FieldTool to create a new custom field for companies.
Create ComponentTool to create a new (sub)component under a product or component.
Create Entity RelationshipTool 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 FeatureTool to create a new feature or subfeature in Productboard.
Create Feature-Objective LinkTool to create a link between a feature and an objective (OKR).
Create Note LinkTool 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 ObjectiveTool to create a new objective in Productboard.
Create Objective-Feature LinkTool to create a new link between an objective and a feature.
Create ReleaseTool to create a new release in Productboard.
Create UserTool to create a new user in Productboard.
Create Webhook SubscriptionTool to create a new webhook subscription.
Delete CompanyTool to delete a specific company.
Delete Company FieldTool to delete a specific company custom field.
Delete Custom Field ValueTool to delete a custom field value from a hierarchy entity in Productboard.
Delete Entity RelationshipTool to delete a relationship between two entities.
Delete Entity V2Tool to delete a PM entity using the v2 API.
Delete FeatureTool to delete a specific feature.
Delete Feature Objective LinkTool to delete a link between a feature and an objective.
Delete InitiativeTool to delete a specific initiative.
Delete Key ResultTool to delete a specific key result from Productboard.
Delete Note RelationshipTool to delete a note relationship.
Delete Note V2Tool to delete a note using the v2 API.
Delete Note TagTool to remove a tag from a Productboard note.
Delete ObjectiveTool to delete a specific objective from Productboard.
Delete Objective-Feature LinkTool to delete a link between an objective and a feature.
Delete ReleaseTool to delete a specific release.
Delete UserTool to delete a specific user.
Delete Webhook SubscriptionTool to delete a webhook subscription.
Get ComponentTool to retrieve details of a specific component.
Get Custom Field ValueTool to retrieve a custom field's value for a specific hierarchy entity.
Get Entity ConfigurationTool to retrieve entity configuration for a specific type.
Get Entity V2Tool to retrieve a PM entity using the v2 API.
Get Feature Release AssignmentTool to retrieve a specific feature release assignment.
Get Hierarchy Entity Custom FieldTool to retrieve a specific custom field definition for hierarchy entities.
Get Notes Configuration V2Tool to retrieve note configuration by type (simple, conversation, or opportunity).
Get Note V2Tool to retrieve a note using the v2 API.
Get ObjectiveTool to retrieve details of a specific objective.
Get ReleaseTool to retrieve details of a specific release by ID.
Get Release GroupTool to retrieve details of a specific release group.
Get Webhook SubscriptionTool to retrieve details of a specific webhook subscription.
List Analytics Member Activities V2Tool to retrieve member activity analytics data from Productboard.
List CompaniesTool to list companies.
List Company Custom FieldsLists all custom field definitions for companies in your Productboard workspace.
List Custom FieldsLists custom field definitions for hierarchy entities (Products, Components, Features).
List Custom Field ValuesLists custom field values for hierarchy entities (products, components, features) in Productboard.
List Entities Configurations V2Tool to retrieve configurations for all entity types in Productboard.
List Entity RelationshipsTool to retrieve relationships for an entity in Productboard.
List Entities V2Tool to list entities from Productboard using the v2 API.
List Feature InitiativesTool to list initiatives linked to a given feature.
List Feature ObjectivesLists all objectives (OKRs) linked to a top-level feature.
List Feature Release AssignmentsTool to list feature–release assignments.
List Feature StatusesTool to list feature statuses.
List Feedback Form ConfigurationsTool to list feedback form configurations.
List InitiativesTool to list initiatives from Productboard.
List Jira IntegrationsTool to list Jira integrations.
List Key ResultsList key results from Productboard.
List Notes Configurations V2Tool to list note configurations from Productboard v2 API.
List Note LinksTool to list links associated with a note.
List Note Relationships V2Tool to retrieve relationships associated with a note.
List Notes V2Tool to retrieve a paginated list of notes from Productboard using the v2 API.
List Note TagsTool to retrieve all tags associated with a specific Productboard note.
List Objective Linked FeaturesLists all features linked to a specific objective.
List Objective Linked InitiativesTool to list initiatives linked to a specific objective.
List Plugin IntegrationsList all plugin integrations in the Productboard workspace.
List Release GroupsLists all release groups in the Productboard workspace.
List ReleasesTool to list all releases in Productboard.
List UsersRetrieves a paginated list of all users in the Productboard workspace.
List Webhook SubscriptionsTool to list all webhook subscriptions.
Remove Note FollowerTool to remove a follower from a Productboard note.
Retrieve CompanyTool to retrieve details of a specific company.
Retrieve Company FieldTool to retrieve details of a specific company custom field.
Retrieve Company Field ValueTool to retrieve a specific company custom field value.
Retrieve FeatureTool to retrieve details of a specific feature.
Retrieve ProductTool to retrieve details of a specific product.
Retrieve UserTool to retrieve details of a specific user.
List SCIM UsersTool to list users via SCIM.
Search Entities V2Tool to search for entities across Productboard using the v2 API.
Set Company Field ValueTool to set or replace a specific company custom field's value.
Set Custom Field ValueTool to set a custom field value on a hierarchy entity.
Set Entity Parent RelationshipTool to set parent relationship on an entity.
Set Feature Release AssignmentTool to update a feature release assignment.
Set FeaturesTool to update a feature by ID.
Set Note Customer RelationshipTool to set a customer relationship on a note in Productboard.
Set ProductTool to update a product using PUT method in Productboard.
Update Company Custom FieldTool to update a company custom field name.
Update CompanyTool to update an existing company in Productboard.
Update ComponentTool to update an existing component.
Update Entity V2Tool to update a PM entity using the v2 API.
Update FeaturesTool to update a feature in Productboard.
Update Note V2Tool to update a note using the v2 API.
Update ObjectiveTool to update an existing objective in Productboard.
Update ProductTool to update a product in Productboard.
Update ReleaseTool to update an existing release in Productboard.
Update UserTool to update a user's information.

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

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 Productboard account and project
  • Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Productboard

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

Installing dependencies

pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv

Create a new Python project and install the necessary dependencies:

  • composio-llamaindex: Composio's LlamaIndex integration
  • llama-index: Core LlamaIndex framework
  • llama-index-llms-openai: OpenAI LLM integration
  • llama-index-tools-mcp: MCP client for LlamaIndex
  • python-dotenv: Environment variable management

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 Productboard access

Import modules

import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

Create a new file called productboard_llamaindex_agent.py and import the required modules:

Key imports:

  • asyncio: For async/await support
  • Composio: Main client for Composio services
  • LlamaIndexProvider: Adapts Composio tools for LlamaIndex
  • ReActAgent: LlamaIndex's reasoning and action agent
  • BasicMCPClient: Connects to MCP endpoints
  • McpToolSpec: Converts MCP tools to LlamaIndex format

Load environment variables and initialize Composio

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set in the environment")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment")

What's happening:

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

Create a Tool Router session and build the agent function

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["productboard"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Productboard actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Productboard actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)

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, productboard)
  • 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 Productboard tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.

Create an interactive chat loop

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

What's happening here:

  • We're creating a direct terminal interface to chat with your Productboard database
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are displayed in a clear, readable format

Define the main entry point

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

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 Productboard

Run the agent

npx ts-node llamaindex-agent.ts

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

Complete Code

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

import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["productboard"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Productboard actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Productboard actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

Conclusion

You've successfully connected Productboard to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Productboard 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.

How to build Productboard MCP Agent with another framework

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FAQ

What are the differences in Tool Router MCP and Productboard MCP?

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.

Can I use Tool Router MCP with LlamaIndex?

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 Productboard tools.

Can I manage the permissions and scopes for Productboard while using Tool Router?

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.

How safe is my data with Composio Tool Router?

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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