# Congress.gov Legislative Data Access Server

> Use this tool when you need to access comprehensive U.S. congressional legislative data, such as bills, members, and votes, through a unified interface. It solves problems of data discovery and interaction by providing a single, consistent interface for AI systems to retrieve and analyze detailed legislative information. Ideal for use cases requiring reliable and efficient access to legislative data, it accepts standardized queries and returns detailed, structured data.

Canonical page: https://skillsregistry.net/skills/amurshak-congressmcp  
JSON: https://api.skillsregistry.net/v1/skills/amurshak-congressmcp

## Description

Provide comprehensive and unified access to U.S. congressional legislative data through six organized toolsets covering bills, members, votes, hearings, committees, and research. Enable AI systems to retrieve and interact with detailed legislative information via a single, consistent interface. Simplify discovery and usage with universal access to all operations and robust error handling for reliable performance.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/amurshak/congressmcp)

## 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": "amurshak-congressmcp"
    }
  }
}
```

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

---
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