Graphlit
FreeGraphlit 官方集成,将各种来源(Slack, Gmail, 播客等)内容摄入可搜索的 Graphlit 项目。
About Graphlit
The Graphlit MCP Server is an open-source Model Context Protocol (MCP) server that connects MCP-compatible clients (Cursor, Windsurf, Goose, Cline) to the Graphlit platform. It enables ingestion of content from a wide range of sources including Slack, Discord, Gmail, Jira, Linear, GitHub, Google Drive, OneDrive, Dropbox, Box, Notion, Reddit, Microsoft Teams, Twitter/X, podcasts (RSS), and web pages. Ingested content is processed: documents (PDF, DOCX, PPTX) and HTML are extracted to Markdown; audio and video files are transcribed. Built-in tools allow web crawling, web search (including podcast search), structured JSON extraction, and publishing of audio (ElevenLabs) and images (OpenAI). The Graphlit project serves as a searchable, RAG-ready knowledge base that can be queried via the MCP server's retrieval tools.
Key Features
Pros & Cons
- Supports a vast array of data connectors, covering most common developer and business tools
- Built-in web crawling and search eliminate the need for separate services like Firecrawl or Exa
- Automates document extraction and media transcription, saving manual effort
- Seamlessly integrates with multiple MCP clients for flexible AI workflows
- Open-source and free to use (server costs only for Graphlit platform usage)
- Provides both simple ingestion and advanced operations like creating collections and managing feeds
- Requires a separate Graphlit platform account and API credentials to function
- Dependent on Graphlit platform availability and API rate limits
- Setup involves environment variables and Node.js configuration, which may be non-trivial for non-developers
- Limited to MCP-compatible clients; not a standalone application
- Documentation and community support primarily through GitHub and Discord