# OParl MCP Server

> Use this tool when you need to integrate AI models with parliamentary data from OParl APIs, enabling natural language queries for government data. It solves problems of data accessibility and complexity by providing a seamless interface for AI models to retrieve data on meetings, documents, and organizations. The OParl MCP Server takes natural language queries as input and outputs relevant parliamentary data, making it ideal for use cases requiring easy access to government information.

Canonical page: https://skillsregistry.net/skills/jtwolfe-oparl-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jtwolfe-oparl-mcp-server

## Description

Provides AI models with seamless access to OParl parliamentary data APIs through the Model Context Protocol. Enables natural language queries for parliamentary meetings, documents, organizations, representatives, and other government data across multiple OParl implementations.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/luqnj2t9s1)
- **Repository:** <https://github.com/jtwolfe/oparl-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": "jtwolfe-oparl-mcp-server"
    }
  }
}
```

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