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Unofficial Financial Conduct Authority (fca) MCP Server

@trailblazelabs

代码仓库

基本信息

分类

金融与商务

传输方式

stdio

作者

trailblazelabs

提交者

Jo X

关于 Unofficial Financial Conduct Authority (fca) MCP Server

暂无概览

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

Unofficial Financial Conduct Authority (fca) MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Unofficial Financial Conduct Authority (fca) MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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).

评论

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