# productboard-mcp

> Use this tool when you need to integrate AI-driven decision making with your product development process, streamlining feature management and objective setting. It enables AI assistants to interact with your Productboard workspace, allowing for seamless management of features, products, notes, objectives, key results, and releases. This integration is ideal for product managers and developers seeking to automate and optimize their workflow.

Canonical page: https://skillsregistry.net/skills/enreign-productboard-mcp  
JSON: https://api.skillsregistry.net/v1/skills/enreign-productboard-mcp

## Description

Enables AI assistants to interact with your Productboard workspace, allowing features, products, notes, objectives, key results, and releases management.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ecwbhmmo05)
- **Repository:** <https://github.com/Enreign/productboard-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "enreign-productboard-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/enreign-productboard-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/enreign-productboard-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt