@archbee/mcp
This is a Model Context Protocol (MCP) server for interacting with the Archbee API. This server provides tools to read, search and list Archbee documents from your space using Large Language Models.
This MCP server integrates with the Archbee API, allowing Large Language Models (LLMs) to interact with your Archbee documents. It provides tools to read, search, and list documents from your Archbee space.
To use this server, you need to configure it in your claude_desktop_config.json or .cursor/mcp.json file. Essential environment variables include API_BASE and API_KEY (obtained from Archbee Space Settings), or alternatively SPACE_ID and API_KEY for internal spaces. Ensure your Archbee space is published with the provided API key.
Installation is done via npm: npm i @archbee/mcp. Once installed, you can run it as a stdio MCP server, typically using npx -y @archbee/mcp.
Recommend MCP Servers 💡
@growi/mcp-server
A Model Context Protocol (MCP) server that connects AI models to GROWI wiki content. Enables LLMs to search and retrieve information from your organization's knowledge base for accurate, context-aware responses.
mcp-pinecone
Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG
@crunchloop/mcp-teamtailor
An MCP server integrating with the Teamtailor API to manage candidates and provide recruitment context.
nerve-hq/nerve-mcp-server
Implements an MCP server to integrate with the Nerve API, enabling AI to access and process customer feedback and other data from Nerve.
memory-plus
A lightweight, local RAG memory store for MCP agents that enables recording, retrieving, updating, deleting, and visualizing persistent memories across sessions.
13rac1/videocapture-mcp
Model Context Protocol (MCP) server to capture images from an OpenCV-compatible webcam or video source