概述

模型上下文协议（MCP）服务器实现了MCP客户端与Graphlit服务之间的集成。本文档概述了设置过程，并提供了使用客户端的基本示例。

将Slack、Discord、网站、Google Drive、电子邮件、Jira、Linear或GitHub等任何内容导入Graphlit项目，然后在MCP客户端如Cursor、Windsurf、Goose或Cline中搜索和检索相关知识。

你的Graphlit项目作为一个可搜索且准备好RAG的知识库，涵盖所有开发者和产品管理工具。

文档（PDF、DOCX、PPTX 等）和 HTML 网页在导入时会被提取到 Markdown。音频和视频文件将在导入时被转录。

网页爬取和网页搜索作为MCP工具内置，无需单独集成Firecrawl、Exa等其他工具。

您可以在我们的博客上阅读更多关于MCP服务器使用场景和功能的信息。

观看我们最新的YouTube视频，了解如何在Goose MCP客户端中使用Graphlit MCP服务器。

如有任何关于使用MCP服务器的问题，请加入我们的Discord社区并在 #mcp 频道发帖。

工具

检索

• 查询内容

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.

Watch our latest YouTube video on using the Graphlit MCP Server with the Goose MCP client.

For any questions on using the MCP Server, please join our Discord community and post on the #mcp channel.

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