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ComplyHat

Verified

MCP server for AI compliance documentation across major frameworks.

MCP ServerAI & KnowledgeRemote (streamable-http)
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Updated 2026-06-16

What is the ComplyHat MCP server?

ComplyHat connects AI applications to structured compliance resources for multiple global AI regulations. It focuses on documentation tasks such as mapping requirements, generating summaries, and checking coverage across frameworks.

The server operates via streamable HTTP transport, allowing remote access without local installation of compliance databases. It is designed for integration into existing AI workflows that need regulatory context.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "compliance": {
      "url": "https://complyhat.ai/api/mcp"
    }
  }
}

Example prompts

Once connected, try asking your AI client:

List key requirements under the EU AI Act for high-risk systems
Generate a compliance checklist for SR 11-7 model risk management
Compare NAIC AI principles with the EU AI Act transparency rules
Summarize documentation obligations across all supported frameworks

Security & permissions

Connects to a remote server over streamable HTTP; requires network access but no local secrets or API keys are specified.

What you can do with ComplyHat

Regulatory mapping

Quickly map model features to specific articles in the EU AI Act or SR 11-7.

Documentation generation

Produce draft compliance sections for NAIC and other covered frameworks.

Gap analysis

Identify missing controls when preparing submissions for multiple regulators.

How to use ComplyHat

  1. 1Add the ComplyHat server URL to your MCP client configuration.
  2. 2Select streamable-http as the transport method.
  3. 3Restart the client to establish the connection.
  4. 4Verify the server appears in the available tools list.
  5. 5Start querying compliance topics in natural language.

ComplyHat: pros & cons

Pros

  • +Covers nine major AI regulatory frameworks in one place
  • +Works directly inside existing AI clients via MCP
  • +No local data storage reduces compliance overhead
  • +Focused exclusively on documentation and mapping tasks

Cons

  • No tools are documented in the current README
  • Limited to documentation rather than automated auditing
  • Depends on remote server availability
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Frequently asked questions

It covers the EU AI Act, SR 11-7, NAIC and six additional frameworks.

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