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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
- 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
- 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
Don't lose this
Three weeks from now, you'll want Graphlit Mcp Server again. Will you remember where to find it?
Save it to your library and the next time you need Graphlit Mcp Server, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Model Context Protocol (MCP) Server for Graphlit Platform. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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