# mcp-birdeye

> mcp-birdeye — pipeworx-io-mcp-birdeye. Use this tool when you need to integrate Birdeye Data Services into your workflow, providing a unified interface to access and manage data from birdeye.so. It solves problems related to data consistency and synchronization, allowing for seamless git version control. Ideal for use cases requiring centralized data management and collaboration.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-birdeye  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-birdeye

## Description

Birdeye MCP — wraps Birdeye Data Services (birdeye.so)

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-birdeye)

## 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": "pipeworx-io-mcp-birdeye"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-birdeye` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-birdeye/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