Metis FCA Handbook AI Harness MCP Server

Metis FCA Handbook AI Harness MCP Server

Integrates the Metis FCA Handbook AI Harness into Claude Desktop to analyze FCA Handbook applicability for financial products, services, or firms, returning structured compliance reasoning with verbatim citations.

Category
Visit Server

README

Metis FCA Handbook AI Harness — MCP Server

An MCP (Model Context Protocol) server that integrates the Metis FCA Handbook AI Harness into Claude Desktop and other MCP-compatible agents.

Tool name: evaluate_fca_handbook_applicability

Use this tool to analyze FCA Handbook applicability for a product, service, or firm. Returns structured compliance reasoning with verbatim handbook citations.

Why choose The Metis FCA Handbook AI Harness?

  • Efficiency Multiplies effectiveness of compliance advice. Saves £80+ in token fees per Harness run.

  • Deals with "Hard Problem", in which LLMs' token incentives prioritise training data so results are unreliable.

  • Verbatim citations Quotes verbatim entries from the FCA Handbook. Other AI systems struggle to do this.

  • Matches real-world need You do not have to start off knowing which sections you are looking for. Carries out structured searches across all 10,000+ FCA Handbook entries.

  • Secure Design Harness compartmentalisation, one-shot structure, and statelessness fits natively with emerging AI agent security standards such as OWASP Top 10 for Agentic Applications 2026.

  • AI Accessible Integrates easily with AI workflows and agents. Your LLM can use it as a tool.

Try the Harness Live

Experience the Harness interactively before integrating:

https://fcahandbookharnessimplementation.onrender.com

Email the-metis-fca-handbook-ai-harness@jbmd.co.uk and request a free temporary Access Code.

Ask compliance questions in natural language and watch each reasoning step unfold in real-time.

Design Principles

The Harness is built on proven principles:

  • Stateless — Each request is independent; no session coupling
  • One-shot — Complete analysis in a single call; no multi-turn state
  • Clear contract — Explicit input/output schemas for easy integration
  • Hosted — Single canonical source; no version drift or stale data

Use Cases

Compliance AI Platforms

Embed FCA reasoning as a service within your compliance platform. Users ask natural-language questions; your platform calls the Harness and presents structured reasoning.

AI Agent Workflows

Agents building compliance workflows can include FCA Handbook reasoning as a composed tool—no external API calls, just MCP configuration.

Compliance Review Automation

Integrate into document review or due-diligence pipelines. Automatically screen new rules against FCA applicability.

For Regulatory Screening

FS firms screening MCP servers will find:

  • Simple model: Stateless, no hidden state, no background jobs
  • Clear contract: Explicit input schema, output schema, error modes
  • Transparent updates: Version pinning; no automatic upgrades
  • Single point of failure: If the Harness is down, it is obvious; no cascading config issues
  • Audit-friendly: All calls logged centrally, not distributed

Quick Start

1. Get an API Key

Visit the Metis account dashboard:

https://fcahandbookharnessimplementation.onrender.com
  • Click "Create Account" (modal on the homepage)
  • Complete Stripe payment flow (accounts are paid)
  • Navigate to API Keys and generate a new key
  • Save it securely

2. Install Dependencies

pip install -r requirements.txt

3. Configure Claude Desktop

Edit your Claude Desktop config file:

File location:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

Add this server entry (create the file if it doesn't exist):

{
  "mcpServers": {
    "fca-handbook-harness": {
      "command": "python",
      "args": ["-m", "mcp_server"],
      "env": {
        "METIS_API_KEY": "sk_live_..."
      }
    }
  }
}

Ensure the mcp_server.py file is in your Python path or the working directory where Claude Desktop runs.

4. Restart Claude Desktop

Quit and restart Claude Desktop. The evaluate_fca_handbook_applicability tool will now be available in agent workflows.

Using the Tool

The tool accepts two parameters:

  • user_input (required, max 5000 characters): Everything together as one piece of text — firm type, products/services, target market, regulatory question, etc.
  • analysis_mode (optional): "quick" (default, ~60-120 seconds) or "full" (longer, detailed conditional reasoning)

The tool returns:

  • summary: 2-3 sentence overview of applicability
  • entry_analysis: Retrieved FCA Handbook entries with reasoning
  • obligations: High-confidence, conditional, and low-confidence obligations
  • gaps: What the analysis couldn't determine from your input
  • refinement_suggestions: Follow-up information that would improve accuracy
  • citations: Verbatim quotes from FCA Handbook with binding levels (R=Rule, G=Guidance)
  • tokens: Token count for cost/complexity tracking

Troubleshooting

Tool not appearing in Claude Desktop:

  • Verify the config file path (platform-specific, see above)
  • Check that mcp_server.py path is absolute and correct
  • Restart Claude Desktop (not just reload)

401 Unauthorized:

  • Verify METIS_API_KEY is set in the config env
  • Check the key is correct (copy from dashboard again)
  • Ensure no extra spaces or newlines in the key

Connection timeout:

  • The analysis can take 60-120 seconds (quick mode) or longer (full mode)
  • Ensure you have internet access to fcahandbookharnessimplementation.onrender.com

Files

  • mcp_server.py — MCP server implementation (main entry point)
  • tool.json — Tool schema definition for LLMs and registries
  • server.json — MCP registry manifest (registry.modelcontextprotocol.io format)
  • requirements.txt — Python dependencies (mcp, requests)
  • init.py — Python package marker
  • README.md — This file
  • LICENSE — MIT License
  • .gitignore — Git ignore rules

Full API Documentation

For the complete HTTP API contract (request/response schemas, error codes, detailed examples), see the HTTP API documentation in the private implementation repository.

Support

For questions or issues, contact: the-metis-fca-handbook-ai-harness@jbmd.co.uk


Product: Metis FCA Handbook AI Harness
Version: 3.0.0
License: MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured