What are the prerequisites for running the server?
The only prerequisite is [Bun](https://bun.sh/), a fast JavaScript/TypeScript runtime.
@RLabs-Inc
Basic information
MCP server with different tools to extend Claude-code functionalities.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"claude-mcp-rlabs-inc": {
"command": "bun",
"args": [
"dev"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A modular server-based tooling system that hosts tools to extend Claude’s code generation capabilities with access to the latest documentation and resources. It enhances Claude’s ability to work with modern frameworks and libraries by providing up-to-date documentation and APIs. The system can be run locally for personal use or deployed as a shared service for teams.
Install Bun, clone the repository, run bun install, then start the server with bun dev (development) or bun start (production). Integrate with Claude Code CLI by installing the MCP plugin and sourcing the activation script. The server also exposes an HTTP API at http://localhost:3000.
The only prerequisite is [Bun](https://bun.sh/), a fast JavaScript/TypeScript runtime.
Install the MCP plugin by running `curl -X POST http://localhost:3000/claude-code/install`, then source the activation script (`source ~/.claude-code/plugins/claude-mcp/activate.sh`). After that, CLI commands like `claude fetch-docs` become available.
Yes. Use the interactive CLI tool (`bun docadd add`) or the REST API endpoints to add new frameworks. The system is designed to be extensible with custom tools.
Four modes: personal/local (no auth), shared team server (basic API key), public deployment (full security features), and Docker. You can also run dual instances (local + team).
Documentation is saved in the `./docs` directory by default. The server’s API endpoints can also return the processed content directly.
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