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Aop Mcp Server — Agent Executable Compliance Documentation

Aop Mcp Server — Agent Executable Compliance Documentation

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github.com/jeremytuiteAI & Agents1Updated 35w ago

About Aop Mcp Server — Agent Executable Compliance Documentation

AOP MCP Server gives AI agents structured access to compliance protocols, starting with Colorado AI Act deployer requirements. It supports protocol discovery, schema retrieval, deployer checks, and gap assessments for organizations implementing compliance documentation.

Key features

  1. 01List compliance protocols
  2. 02Retrieve protocol details and schemas
  3. 03Assess gaps against requirements
  4. 04Check Colorado AI Act deployer status

Use cases

  1. 01Check whether an organization is an Act deployer
  2. 02Find documentation requirements for a protocol
  3. 03Assess compliance gaps against requirements

MCP support

The MCP server exposes five tools for protocol listing and retrieval, schema access, compliance assessment, and Colorado AI Act deployer classification. It connects to the AOP API; browsing protocols requires no API key, while full document access and generation require a license key.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

AOP MCP Server

Agent-executable compliance documentation via the Model Context Protocol.

Built by Applied Operations Protocols.

What is this?

An MCP server that gives AI agents direct access to compliance protocols — starting with Colorado AI Act (SB 24-205) deployer documentation.

Instead of reading PDFs, your agent can:

  • Check if an organization is a deployer under the Act
  • List available compliance protocols
  • Pull structured protocol schemas for automated implementation
  • Assess compliance gaps against specific requirements

Quick Start

Claude Desktop / Cursor / Windsurf

Add to your MCP config:

{
  "mcpServers": {
    "aop": {
      "command": "npx",
      "args": ["-y", "aop-mcp-server"]
    }
  }
}
OpenClaw
openclaw mcp add aop-mcp-server

Available Tools

ToolDescription
list_protocolsList all compliance protocols (filter by vertical)
get_protocolGet protocol details and structure
get_protocol_schemaGet machine-readable schema for agent implementation
assess_complianceRun gap analysis against a protocol
colorado_ai_act_checkQuick deployer classification check

Example: Colorado AI Act Check

Ask your AI assistant:

"Am I a deployer under the Colorado AI Act? We use AI in our hiring process and serve Colorado residents."

The agent will call colorado_ai_act_check and return:

  • Whether you're classified as a deployer
  • Which documentation you need
  • The June 30, 2026 deadline
  • Links to the specific protocols

Colorado AI Act Protocols

IDProtocolPrice
CO-RMP-001Risk Management Policy$299
CO-IMP-001Impact Assessment$299
CO-NOT-001Consumer Notices$299
CO-AGR-001AG Response Packet$599

Full deployer package: $2,500 (includes all documentation + implementation call)

API

The MCP server connects to the AOP API at aop-api.jeremytuite.workers.dev. No API key needed for browsing protocols. License key required for full document access and generation.

Links

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.