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Unofficial Financial Conduct Authority (fca) MCP Server

@trailblazelabs

リポジトリ

基本情報

カテゴリ

金融とコマース

トランスポート

stdio

作者

trailblazelabs

投稿者

Jo X

Unofficial Financial Conduct Authority (fca) MCP Server について

概要はまだありません

#fca-mcp#financial-services#regulatory-intelligence

Unofficial Financial Conduct Authority (fca) MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "fca-mcp": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://localhost:8080/mcp/",
        "--allow-http",
        "--debug"
      ]
    }
  }
}

Unofficial Financial Conduct Authority (fca) MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Unofficial Financial Conduct Authority (fca) Mcp Server?

An open-source MCP server that provides real-time, conversational access to live FCA (Financial Conduct Authority) Register data through AI interfaces. Designed for financial services firms, it bridges AI assistants like Claude Desktop with FCA regulatory data, reducing research time by turning manual searches into natural language queries.

How to use Unofficial Financial Conduct Authority (fca) Mcp Server?

Install prerequisites (Docker, Node.js, Claude Desktop, Azure OpenAI API key), clone the repository, configure .env with Azure OpenAI credentials, run make dev_setup_from_scratch, then connect to Claude Desktop using the configuration provided. After setup, ask natural language questions such as "Search for wealth management firms in London" or "Find recent enforcement notices about market manipulation".

Key features of Unofficial Financial Conduct Authority (fca) Mcp Server

  • Real-time data sourced directly from live FCA APIs
  • Conversational interface supporting plain English queries
  • Open source (MIT license) with zero licensing costs
  • Tools for searching handbook, firms, enforcement notices, and more
  • Architecture using Elasticsearch with semantic search and Azure OpenAI embeddings

Use cases of Unofficial Financial Conduct Authority (fca) Mcp Server

  • Compliance teams: find firms with mortgage permissions, recent enforcement actions, or policy changes
  • Legal & risk: search FCA Handbook for operational resilience rules or consultation papers on crypto regulation
  • Business development: identify competitors with similar FCA permissions or recently authorised fintech firms

よくある質問

1

What are the prerequisites to run the server?

Docker, Node.js, Claude Desktop, and an Azure OpenAI API key. Python 3.12+ and the `uv` package manager are required for local development.

2

How does the server get its data?

It continuously ingests data from all FCA Register endpoints, processes and normalises it, embeds it using Azure OpenAI for semantic search, and indexes it into Elasticsearch.

3

What tools does the server expose?

`search_fca_handbook`, `search_policy_statements`, `search_consultation_papers`, `search_authorised_firms`, `search_enforcement_notices`, `get_firm_details`, `search_guidance_documents`, and `get_regulatory_updates`.

4

Where does the data live and how is it searched?

Data is stored in Elasticsearch indices with semantic search enabled via Azure OpenAI embeddings. The server returns real-time results with citations.

5

Is the server free or does it require a license?

The server is open source under the MIT license with zero licensing costs. You only need your own Azure OpenAI API key and infrastructure (Docker, Elasticsearch).

コメント

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