Unofficial Financial Conduct Authority (fca) MCP Server

@trailblazelabs

Basic information

About Unofficial Financial Conduct Authority (fca) MCP Server

No overview available yet

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

Unofficial Financial Conduct Authority (fca) MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Unofficial Financial Conduct Authority (fca) MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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

Frequently asked questions

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.

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.

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`.

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.

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).

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