graphlit-mcp-server
Сообществоот graphlit
Model Context Protocol (MCP) Server for Graphlit Platform
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{Описание
[](https://badge.fury.io/js/graphlit-mcp-server) [](https://smithery.ai/server/@graphlit/graphlit-mcp-server) # Model Context Protocol (MCP) Server for Graphlit Platform ## Overview The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. This document outlines the setup process and provides a basic example of using the client. Ingest anything from Slack, Discord, websites, Google Drive, email, Jira, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf, Goose or Cline. Your Graphlit project acts as a searchable, and RAG-ready knowledge base across all your developer and product management tools. Documents (PDF, DOCX, PPTX, etc.) and HTML web pages will be extracted to Markdown upon ingestion. Audio and video files will be transcribed upon ingestion. Web crawling and web search are built-in as MCP tools, with no need to integrate other tools like Firecrawl, Exa, etc. separately. You can read more about the MCP Server use cases and features on our [blog](https://www.graphlit.com/blog/graphlit-mcp-server). Watch our latest [YouTube video](https://www.youtube.com/watch?v=Or-QqonvcAs&t=4s) on using the Graphlit MCP Server with the Goose MCP client. For any questions on using the MCP Server, please join our [Discord](https://discord.gg/ygFmfjy3Qx) community and post on the #mcp channel. <a href="https://glama.ai/mcp/servers/fscrivteod"> <img width="380" height="200" src="https://glama.ai/mcp/servers/fscrivteod/badge" alt="graphlit-mcp-server MCP server" /> </a> ## Tools ### Retrieval - Query Contents - Query Collections - Query Feeds - Query Conversations - Retrieve Relevant Sources - Retrieve Similar Images - Visually Describe Image ### RAG - Prompt LLM Conversation ### Extraction - Extract Structured JSON from Text ### Publishing - Publish as Audio (ElevenLabs Audio) - Publish as Image (OpenAI Image Generation) ### Ingestion - Files - Web Pages - Messages - Posts - Emails - Issues - Text - Memory (Short-Term) ### Data Connectors - Microsoft Outlook email - Google Mail - Notion - Reddit - Linear - Jira - GitHub Issues - Google Drive - OneDrive - SharePoint - Dropbox - Box - GitHub - Slack - Microsoft Teams - Discord - Twitter/X - Podcasts (RSS) ### Web - Web Crawling - Web Search (including Podcast Search) - Web Mapping - Screenshot Page ### Notifications - Slack - Email - Webhook - Twitter/X ### Operations - Configure Project - Create Collection - Add Contents to Collection - Remove Contents from Collection - Delete Collection(s) - Delete Feed(s) - Delete Content(s) - Delete Conversation(s) - Is Feed Done? - Is Content Done? ### Enumerations - List Slack Channels - List Microsoft Teams Teams - List Microsoft Teams Channels - List SharePoint Libraries - List SharePoint Folders - List Linear Projects - List Notion Databases - List Notion Pages - List Dropbox Folders - List Box Folders - List Discord Guilds - List Discord Channels - List Google Calendars - List Microsoft Calendars ## Resources - Project - Contents - Feeds - Collections (of Content) - Workflows - Conversations - Specifications ## Prerequisites Before you begin, ensure you have the following: - Node.js installed on your system (recommended version 18.x or higher). - An active account on the [Graphlit Platform](https://portal.graphlit.dev) with access to the API settings dashboard. ## Configuration The Graphlit MCP Server supports environment variables to be set for authentication and configuration: - `GRAPHLIT_ENVIRONMENT_ID`: Your environment ID. - `GRAPHLIT_ORGANIZATION_ID`: Your organization ID. - `GRAPHLIT_JWT_SECRET`: Your JWT secret for signing the JWT token. You can find these values in the API settings dashboard on the [Graphlit Platform](https://portal.graphlit.dev). ## Installation ### Installing via VS Code For quick installation, use one of the one-click install buttons below: [](https://insiders.vscode.dev/redirect/mcp/install?name=graphlit&inputs=%5B%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22organization_id%22%2C%22description%22%3A%22Graphlit%20Organization%20ID%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22environment_id%22%2C%22description%22%3A%22Graphlit%20Environment%20ID%22%2C%22password%22%3Atrue%7D%2C%7B%22type%22%3A%22promptString%22%2C%22id%22%3A%22jwt_secret%22%2C%22description%22%3A%22Graphlit%20JWT%20Secret%22%2C%22password%22%3Atrue%7D%5D&config=%7B%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22graphlit-mcp-server%22%5D%2C%22env%22%3A%7B%22GRAPHLIT_ORGANIZATION_ID%22%3A%22%24%7Binput%3Aorganization_id%7D%22%2C%22GRAPHLIT_ENV
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