Cow MCP Server

MCP (Model Context Protocol) servers are designed to process structured requests from AI agents, perform domain-specific operations, and return

Local serverstdioPython

What is the Cow MCP MCP server?

Cow MCP MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. MCP (Model Context Protocol) servers are designed to process structured requests from AI agents, perform domain-specific operations, and return context-aware responses. The ComplianceCow MCP servers enable seamless integration with.

What the assistant can call

Once Cow MCP is connected, these are the calls the assistant has available:

Configuration and credentials

You will need 8 environment variables: CCOW_HOST, CCOW_CLIENT_ID, CCOW_CLIENT_SECRET, MCP_TOOLS_TO_BE_INCLUDED, UV_BIN_PATH, YOUR_CCOW_HOST, YOUR_CLIENT_ID, YOUR_CLIENT_SECRET. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  1. MCP Host: You need an MCP-compatible host: - Claude Desktop - Goose Desktop/CLI 2. Python: Version 3.11 or higher - Download Python 3. uv Package Manager: Required to run the MCP server - [Install

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Choosing this one

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Cow MCP's toolset — Prerequisites, Authentication, Installation — is a fair guide to whether it matches your workflow. It is maintained by ComplianceCow; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Cow MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the cow mcp mcp server does with a few real requests.

Available tools

ToolWhat it does
Prerequisites2. **Python**: Version 3.11 or higher - [Download Python](https://www.python.org/downloads/)
AuthenticationThe ComplianceCow MCP servers use OAuth 2.0 with client_credentials grant type.
Installation1. **Clone the repository:** bash git clone https://github.com/ComplianceCow/cow-mcp.git cd cow-mcp

Configuration

  1. MCP Host: You need an MCP-compatible host: - Claude Desktop - Goose Desktop/CLI 2. Python: Version 3.11 or higher - Download Python 3. uv Package Manager: Required to run the MCP server - [Install
VariableDescriptionRequired
CCOW_HOSTEndpoint or connection string the server talks to.Optional
CCOW_CLIENT_IDConfiguration value read at startup.Optional
CCOW_CLIENT_SECRETCredential the server authenticates with.Yes
MCP_TOOLS_TO_BE_INCLUDEDConfiguration value read at startup.Optional
UV_BIN_PATHFilesystem location the server is allowed to use.Optional
YOUR_CCOW_HOSTEndpoint or connection string the server talks to.Optional
YOUR_CLIENT_IDConfiguration value read at startup.Optional
YOUR_CLIENT_SECRETCredential the server authenticates with.Yes

Example prompts to try

  • Use Cow MCP to Prerequisites.
  • Use Cow MCP to Authentication.
  • Use Cow MCP to Installation.

Frequently asked questions

It connects Cow MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (Prerequisites, Authentication, Installation) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Cow MCP directly.