MCP server exposing the Raynet CRM REST API to an LLM agent over stdio
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# Raynet MCP An [MCP](https://modelcontextprotocol.io) server that exposes the [Raynet CRM](https://raynet.cz) REST API to an LLM agent over stdio, built with [FastMCP](https://gofastmcp.com). The server exposes **32 read tools and 27 write tools** covering business cases, companies, people, leads, activities (meetings, tasks, events, phone calls, e-mails), products, price lists, sales orders, offers and invoices, discussion posts and attachments, plus a metadata layer for discovering an instance's value lists and custom fields. Writes are off by default -- see [Read and write separation](#read-and-write-separation) -- so a fresh install is read-only (`GET` calls only) until `RAYNET_WRITE_ENABLED=true` is set deliberately. It was built and validated against a single Raynet instance. The endpoints and tools are generic, but anything this README calls an observation rather than a documented contract -- filter behaviour, value-list contents, which fields an instance renamed -- may differ on yours. ## Install Requires Python >= 3.11. ```bash uv tool install raynet-mcp # or: pipx install raynet-mcp ``` Nothing to install if you use `uvx raynet-mcp`, which fetches and runs it. The server takes its token from the environment and never reads a `.env` file itself, so the token belongs in your MCP client's `env` block. ### Claude Desktop, Claude Code (`.mcp.json`) ```json { "mcpServers": { "raynet": { "command": "uvx", "args": ["raynet-mcp"], "env": { "RAYNET_API_TOKEN": "your-token-here", "RAYNET_WRITE_ENABLED": "false" } } } } ``` ### Codex (`~/.codex/config.toml`) ```toml [mcp_servers.raynet] command = "uvx" args = ["raynet-mcp"] env = { RAYNET_API_TOKEN = "your-token-here", RAYNET_WRITE_ENABLED = "false" } ``` With no token in the environment, startup stops with `RAYNET_API_TOKEN is not set`. ### From source ```bash git clone https://github.com/davidesner/raynet-mcp && cd raynet-mcp uv sync cp .env.ex…
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