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MCP server for FCA Handbook compliance analysis with verbatim citations.
About
MCP server for FCA Handbook compliance analysis with verbatim citations.
Security Report
The MCP server is well-designed with proper authentication, clear stateless architecture, and appropriate permissions for its purpose. Authentication via API key is required and correctly handled through environment variables. Minor code quality issues (broad exception handling, timeout hardcoding) are low-severity and do not materially impact security posture. Supply chain analysis found 8 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
4 files analyzed · 13 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: METIS_API_KEY
Environment variable: METIS_BASE_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-99blaked99-the-metis-fca-handbook-ai-harness-mcp": {
"env": {
"METIS_API_KEY": "your-metis-api-key-here",
"METIS_BASE_URL": "your-metis-base-url-here"
},
"args": [
"fca-handbook-harness-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Metis FCA Handbook AI Harness — MCP Server
An MCP (Model Context Protocol) server that integrates the Metis FCA Handbook AI Harness into your AI workflow. MCP is supported by Claude, OpenAI, Gemini, and most desktop/IDE MCP clients (Cursor, Windsurf, Cline, and others) — this README uses Claude Desktop as a fully worked example; adjust the configuration steps to fit your own client.
Source & full documentation: github.com/99blakeD99/the-metis-fca-handbook-ai-harness-mcp-files
Tools
evaluate_fca_handbook_applicability
Evaluate which FCA Handbook entries apply to an entity, via the Metis FCA Handbook AI Harness. One-shot: no session, no conversation state. Supports quick mode (60-120 seconds, default) and full mode (longer, more detailed). Returns a compliance report with verbatim citations, gaps, and refinement suggestions.
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 the MCP Server
pip install fca-handbook-harness-mcp
3. Configure your MCP client
This section walks through Claude Desktop as a fully worked example. The mcpServers JSON shape below is shared by most desktop/IDE MCP clients (Claude Code, Cursor, Windsurf, Cline, and others) — but the config file location and restart step are Claude Desktop's specifically. If you are using a different client, including one with a GUI-based connector flow (some OpenAI and Gemini integrations work this way) rather than a JSON config file, consult that client's own documentation for where to add a server.
Claude Desktop 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": "fca-handbook-harness-mcp",
"env": {
"METIS_API_KEY": "sk_live_..."
}
}
}
}
Replace sk_live_... with your actual API key from your Metis account.
4. Restart your MCP client
For Claude Desktop: quit and restart the app. Other clients reload MCP connections differently — check your client's documentation if unsure. Once connected, the evaluate_fca_handbook_applicability tool will 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 (Claude Desktop; the same class of issue applies to most desktop MCP clients):
- Verify the config file path (platform-specific, see above)
- Confirm
fca-handbook-harness-mcpresolves on the command line (which fca-handbook-harness-mcp/where fca-handbook-harness-mcp). Desktop MCP clients typically launch with a minimal environment and may not see the same PATH as your shell — if the command does not resolve, replace"command": "fca-handbook-harness-mcp"with the absolute path from that lookup - Restart your MCP client (not just reload)
401 Unauthorized:
- Verify
METIS_API_KEYis set in the configenv - 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; its docstring is the source of truth for the tool schema)
- pyproject.toml — pypi package manifest
- server.json — MCP registry manifest (registry.modelcontextprotocol.io format)
- manifest.json — MCPB/Smithery bundle manifest
- requirements.txt — Python dependencies (
mcp,requests) - uv.lock — Pinned dependency resolution for reproducible
uv run __init__.py— Python package marker- README.md — This file
- LICENSE — MIT License
- .gitignore — Git ignore rules
- .mcpbignore — Files excluded from the MCPB bundle
Support
For questions or issues, contact: the-metis-fca-handbook-ai-harness@jbmd.co.uk
Product: Metis FCA Handbook AI Harness
License: MIT
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