MCP Connector

Integrate Productboard Data into Agentic Workflows

Read Productboard companies, products, components, features, and notes directly into AI-assisted product workflows.

Works with productboard

71
Spark score
out of 100
Updated Feb 2025
Version 1.0.0
Models
universal

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Why it matters

Seamlessly connect your agentic workflows to Productboard, enabling access to crucial product management data like companies, features, and products.

Outcomes

What it gets done

01

Retrieve companies, components, features, notes, and products from Productboard.

02

Access detailed information for companies, components, and products.

03

Integrate Productboard data into agentic workflows for enhanced decision-making.

04

Utilize Productboard feature statuses within your automated processes.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-productboard | bash

Capabilities

Tools your agent gets

get_companies

Retrieve companies data from Productboard

get_company_detail

Retrieve detailed information about a specific company

get_components

Retrieve components data from Productboard

get_component_detail

Retrieve detailed information about a specific component

get_features

Retrieve features data from Productboard

get_feature_detail

Retrieve detailed information about a specific feature

get_feature_statuses

Retrieve feature statuses from Productboard

get_notes

Retrieve notes data from Productboard

+2 tools

Overview

Productboard MCP Server

Productboard MCP Server gives an AI assistant read-only access to Productboard companies, products, components, features, feature statuses, and customer notes via 10 get_* tools. Use it for conversational, read-only access to Productboard data. Not applicable for creating or modifying Productboard entries - all tools are read-only.

What it does

Productboard MCP Server integrates the Productboard API into agentic workflows, letting an AI assistant retrieve companies, products, components, features, feature statuses, and customer notes from a Productboard workspace.

When to use - and when NOT to

Use it when you want an AI assistant to pull product management context from Productboard - listing companies and their details, browsing product components and features with their statuses, or reviewing customer notes - to inform roadmap discussions or feature research. Do not use it for write operations - all 10 tools are read-only (get_*), so this connector surfaces existing Productboard data rather than creating or modifying entries.

Capabilities

  • get_companies / get_company_detail: list companies and get details for a specific one.
  • get_components / get_component_detail: list components and get details for a specific one.
  • get_features / get_feature_detail: list features and get details for a specific one.
  • get_feature_statuses: list available feature statuses.
  • get_notes: list customer/user notes.
  • get_products / get_product_detail: list products and get details for a specific one.

How to install

Obtain a Productboard access token per the Productboard API authentication guide, then configure Claude Desktop:

{
  "mcpServers": {
    "productboard": {
      "command": "npx",
      "args": ["-y", "productboard-mcp"],
      "env": { "PRODUCTBOARD_ACCESS_TOKEN": "<YOUR_TOKEN>" }
    }
  }
}

Who it's for

Product managers using Productboard who want an AI assistant to surface product, feature, and customer note data conversationally instead of navigating the Productboard UI.

Source README

Productboard MCP Server

Integrate the Productboard API into agentic workflows via MCP

Tools

  1. get_companies
  2. get_company_detail
  3. get_components
  4. get_component_detail
  5. get_features
  6. get_feature_detail
  7. get_feature_statuses
  8. get_notes
  9. get_products
  10. get_product_detail

Setup

Access Token

Obtain your access token referring to this guidance

Usage with Claude Desktop

To use this with Claude Desktop, add the following to your claude_desktop_config.json:

NPX

{
  "mcpServers": {
    "productboard": {
      "command": "npx",
      "args": [
        "-y",
        "productboard-mcp"
      ],
      "env": {
        "PRODUCTBOARD_ACCESS_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

FAQ

Common questions

Discussion

Questions & comments · 0

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