# Beeminder

> Use this tool when you need to interact with Beeminder goals and data, such as retrieving detailed goal information or datapoints, to monitor or analyze personal productivity. It solves problems like tracking progress and integrating Beeminder data into broader productivity workflows. The tool takes Beeminder API keys and goal identifiers as inputs and outputs detailed goal information and datapoints, making it ideal for AI applications that require secure and robust Beeminder data management.

Canonical page: https://skillsregistry.net/skills/strickvl-beeminder  
JSON: https://api.skillsregistry.net/v1/skills/strickvl-beeminder

## Description

This MCP server implementation provides a bridge to the Beeminder API, enabling AI assistants to interact with Beeminder goals and data. Developed by strickvl, it offers a tool for retrieving detailed information about specific Beeminder goals, including optional datapoint retrieval. The server is built using Python and integrates with the FastMCP framework and Beeminder client library. It focuses on secure API key management and robust error handling. This implementation is particularly useful for AI applications that need to monitor or analyze personal productivity goals, track progress, or integrate Beeminder data into broader productivity workflows.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/strickvl-beeminder)
- **Repository:** <https://github.com/strickvl/mcp-beeminder>

## 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": "strickvl-beeminder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/strickvl-beeminder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/strickvl-beeminder/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