# FEC Campaign Finance MCP Server

> Use this tool when you need to investigate US federal campaign finance data through natural language conversations, solving problems such as accessing complex financial data and tracking political contributions. It connects the OpenFEC API to AI assistants, taking natural language inputs and returning relevant campaign finance data as output. Ideal for use cases where users require easy and intuitive access to federal campaign finance information.

Canonical page: https://skillsregistry.net/skills/reichaves-fec-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/reichaves-fec-mcp-server

## Description

Connects the OpenFEC API to AI assistants for investigating US federal campaign finance through natural language conversations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j6eqevh6ru)
- **Repository:** <https://github.com/reichaves/fec-mcp-server>

## 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": "reichaves-fec-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/reichaves-fec-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/reichaves-fec-mcp-server/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