What does this server do?
It exposes Codehooks.io project operations as tools for AI agents, allowing them to query collections and (soon) deploy code without manual API calls.
@RestDB
基本信息
MCP server for codehooks.io
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"codehooks-mcp-server": {
"command": "docker",
"args": [
"run",
"-d",
"\\"
]
}
}
}collection (required), query (optional), limit (optional)
filename (required), code (required)
The Codehooks.io MCP Server is a Model Context Protocol server that gives AI agents like Claude direct tools to interact with Codehooks.io projects. It authenticates via an admin token and runs as a Docker container, enabling operations such as querying collections and deploying JavaScript code.
Run the Docker container with the required environment variables (CODEHOOKS_PROJECT_NAME, CODEHOOKS_SPACE, CODEHOOKS_ADMIN_TOKEN). Obtain your admin token using the Codehooks CLI commands coho login and coho add-admintoken. Configure the server for Claude Desktop or Cursor by adding the Docker command to their respective MCP settings files.
It exposes Codehooks.io project operations as tools for AI agents, allowing them to query collections and (soon) deploy code without manual API calls.
Run `coho login` in your terminal, follow the login prompt, then execute `coho add-admintoken` and copy the returned token.
You must set `CODEHOOKS_PROJECT_NAME`, `CODEHOOKS_SPACE` (e.g., "dev" or "prod"), and `CODEHOOKS_ADMIN_TOKEN`. The MCP server uses the admin token directly, so no additional login is needed.
Run the Docker container interactively, send a `list_tools` JSON‑RPC request, and expect a proper JSON response listing tools like `query_collection` and `deploy_code`.
Yes, the `deploy_code` tool is explicitly marked as “NOT WORKING YET!”. The `query_collection` tool is fully operational.
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