What environment variables are required?
`REDIS_URL` is required for session management. `NODE_ENV` (default "development") and `LOG_LEVEL` (default "info") are optional.
@Meeting-Baas
Basic information
An MCP server to deliver context to the MeetingBaaS chat
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
An MCP server that fetches and serves Meeting BaaS API documentation from https://docs.meetingbaas.com/llms/. It provides multiple tools to retrieve documentation by category, including API, SDK, Calendars, Meetings, Users, Webhooks, Transcript Seeker, and Speaking Bots docs.
Set environment variables REDIS_URL (required) and optionally NODE_ENV and LOG_LEVEL. Authenticate via headers (x-meeting-baas-api-key or others) or request body. Configure Vercel with Redis, Fluid compute, and max duration of 800. Then invoke any of the 16 documentation tools (e.g., listCategories, getAllDocs, getApiDocs) to retrieve documentation content.
listCategoriesdocHelpAssistant to prefix assistant messages with a documentation helper label`REDIS_URL` is required for session management. `NODE_ENV` (default "development") and `LOG_LEVEL` (default "info") are optional.
Authentication can be done via headers (`x-meeting-baas-api-key`, `x-meetingbaas-apikey`, `x-api-key`, or `Authorization: Bearer <token>`) or via POST body with `{"apiKey": "your-api-key"}`.
All documentation is fetched from `https://docs.meetingbaas.com/llms/` with categorized endpoints like `/all`, `/api`, `/meetings`, etc.
Requires Redis, enabled Fluid compute, and max duration set to 800 in `vercel.json` (Pro/Enterprise accounts).
Four header-based methods (in order: `x-meeting-baas-api-key`, `x-meetingbaas-apikey`, `x-api-key`, `Authorization` Bearer token) plus a body-based method with an `apiKey` field.

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 162 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au
Project context your AI can query through MCP — with source evidence.
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