
Graphlit
OfficialConnects to the Graphlit platform to search and retrieve data from ingested content across developer tools like Slack, GitHub, Google Drive, and websites. Automatically converts documents to Markdown and transcribes audio/video files.
Integrates with the Graphlit platform to enable natural language processing tasks and data retrieval from the Graphlit ecosystem.
What it does
- Search across ingested content from multiple platforms
- Retrieve relevant sources and similar images
- Query conversations and collections
- Extract and convert documents to Markdown
- Transcribe audio and video files
- Crawl websites and perform web searches
Best for
About Graphlit
Graphlit is an official MCP server published by graphlit that provides AI assistants with tools and capabilities via the Model Context Protocol. Leverage Graphlit for seamless natural language processing and data retrieval within the Graphlit platform ecosystem. It is categorized under analytics data, productivity.
How to install
You can install Graphlit in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Graphlit is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
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
- 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 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.
Installation
Installing via VS Code
For quick installation, use one of the one-click install buttons below:
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).
Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.
Note that the
mcpkey is not needed in the.vscode/mcp.jsonfile.
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "organization_id",
"description": "Graphlit Organization ID",
"password": true
},
{
"type": "promptString",
"id": "environment_id",
"description": "Graphlit Environment ID",
"password": true
},
{
"type": "promptString",
"id": "jwt_secret",
"description": "Graphlit JWT Secret",
"password": true
}
],
"servers": {
"graphlit": {
"command": "npx",
"args": ["-y", "graphlit-mcp-server"],
"env": {
"GRAPHLIT_ORGANIZATION_ID": "${input:organization_id}",
"GRAPHLIT_ENVIRONMENT_ID": "${input:environment_id}",
"GRAPHLIT_JWT_SECRET": "${input:jwt_secret}"
}
}
}
}
}
Installing via Windsurf
To install graphlit-mcp-server in Windsurf IDE application, Cline should use NPX:
npx -y graphlit-mcp-server
Your mcp_config.json file should be configured similar to:
{
"mcpServers": {
"graphlit-mcp-server": {
"command": "npx",
"args": [
"-y",
"graphlit-mcp-server"
],
"env": {
"GRAPHLIT_ORGANIZATION_ID": "your-organization-id",
"GRAPHLIT_ENVIRONMENT_ID": "your-environment-id",
"GRAPHLIT_JWT_SECRET": "your-jwt-secret",
}
}
}
}
Installing via Cline
To install graphlit-mcp-server in Cline IDE application, Cline should use NPX:
npx -y graphlit-mcp-server
Your cline_mcp_settings.json file should be configured similar to:
{
"mcpServers": {
"graphlit-mcp-server": {
"command": "npx",
"args": [
"-y",
"graphlit-mcp-server"
],
"env": {
"GRAPHLIT_ORGANIZATION_ID": "your-organization-id",
"GRAPHLIT_ENVIRONMENT_ID": "your-environment-id",
"GRAPHLIT_JWT_SECRET": "your-jwt-secret",
}
}
}
}
Installing via Cursor
To install graphlit-mcp-server in Cursor IDE application, Cursor should use NPX:
npx -y graphlit-mcp-server
Your mcp.json file should be configured similar to:
{
"mcpServers": {
"graphlit-mcp-server": {
"command": "npx",
"args": [
"-y",
"graphlit-mcp-server"
],
"env": {
"GRAPHLIT_ORGANIZATION_ID": "your-organization-id",
"GRAPHLIT_ENVIRONMENT_ID": "your-environment-id",
"GRAPHLIT_JWT_SECRET": "your-jwt-secret",
}
}
}
}
Installing via Smithery
To install graphlit-mcp-server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @graphlit/graphlit-mcp-server --client claude
Installing manually
To use the Graphlit MCP Server in any MCP client application, use:
{
"mcpServers": {
"graphlit-mcp-server": {
"command": "npx",
"args": [
"-y",
"graphlit-mcp-server"
],
"env": {
"GRAPHLIT_ORGANIZATION_ID": "your-organization-id",
---
*README truncated. [View full README on GitHub](https://github.com/graphlit/graphlit-mcp-server).*
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