Graphlit MCP Server
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Enables integration between MCP clients and the Graphlit platform, providing ingestion, retrieval, RAG, and publishing capabilities across a wide range of data sources and tools.
Graphlit MCP Server Overview
What is Graphlit MCP Server about?
Graphlit MCP Server connects MCP‑compatible clients (Cursor, Windsurf, Goose, Cline, etc.) to the Graphlit service, turning Slack, Discord, email, GitHub, Google Drive, PDFs, web pages, audio, video, and many other sources into a searchable, AI‑ready knowledge base.
How to use Graphlit MCP Server?
- Install the server via NPX (recommended) in your IDE or terminal:
npx -y graphlit-mcp-server - Configure environment variables for authentication:
{ "GRAPHLIT_ORGANIZATION_ID": "<YOUR_ORG_ID>", "GRAPHLIT_ENVIRONMENT_ID": "<YOUR_ENV_ID>", "GRAPHLIT_JWT_SECRET": "<YOUR_JWT_SECRET>" } - Add the server definition to your IDE’s MCP configuration (VS Code, Windsurf, Cline, Cursor, etc.) as shown in the README.
- Once running, invoke the provided tools (retrieval, RAG, extraction, publishing, ingestion, data connectors, web crawling, notifications, operations, enumerations) from your MCP client to ingest data, query content, or generate outputs.
Key Features of Graphlit MCP Server
- Ingestion: Files, web pages, messages, emails, issues, text, short‑term memory, and more.
- Data Connectors: Built‑in support for Outlook, Gmail, Notion, Reddit, Linear, Jira, GitHub, Google Drive, OneDrive, SharePoint, Dropbox, Box, Slack, Teams, Discord, Twitter/X, podcasts.
- Web Utilities: Crawling, search (including podcasts), mapping, screenshot capture.
- Retrieval & RAG: Query contents, collections, feeds, conversations; retrieve relevant sources, similar images, visual descriptions; prompt LLM conversations.
- Extraction: Structured JSON extraction from raw text.
- Publishing: Generate audio via ElevenLabs, images via OpenAI.
- Operations: Create/manage projects, collections, feeds, contents, conversations; check completion status.
- Enumerations: List channels, teams, libraries, projects, databases, calendars across supported platforms.
- Notifications: Slack, email, webhook, Twitter/X.
Use Cases of Graphlit MCP Server
- Enterprise Knowledge Base: Consolidate documentation, tickets, chats, and media into a single searchable RAG‑ready repository.
- Product Development: Pull requirements from Jira, Linear, GitHub Issues, and design docs for AI‑assisted brainstorming.
- Customer Support: Ingest support tickets, emails, and Slack conversations to power AI‑driven answer generation.
- Content Creation: Extract structured data from raw text, generate audio/video assets, and publish directly from the server.
- Research & Compliance: Crawl web sources, map content, and retrieve similar images for due‑diligence workflows.
FAQ from the Graphlit MCP Server
Q: What runtime is required? A: Node.js 18.x or higher.
Q: Do I need all data‑connector tokens?
A: Only GRAPHLIT_ORGANIZATION_ID, GRAPHLIT_ENVIRONMENT_ID, and GRAPHLIT_JWT_SECRET are mandatory. Additional tokens are optional for specific connectors.
Q: Can I run the server on Windows?
A: Yes. If using NPX, you may need to invoke it via cmd.exe /c npx.
Q: How do I get support? A: Submit issues on the GitHub repository, consult the Graphlit API docs, or join the Graphlit Discord community.
Q: Is there a one‑click install for VS Code? A: Yes—click the NPX badges in the README to launch an automated install.
Graphlit MCP Server's README
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",
"GRAPHLIT_ENVIRONMENT_ID": "your-environment-id",
"GRAPHLIT_JWT_SECRET": "your-jwt-secret",
}
}
}
}
Optionally, you can configure the credentials for data connectors, such as Slack, Google Email and Notion. Only GRAPHLIT_ORGANIZATION_ID, GRAPHLIT_ENVIRONMENT_ID and GRAPHLIT_JWT_SECRET are required.
{
"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",
"SLACK_BOT_TOKEN": "your-slack-bot-token",
"DISCORD_BOT_TOKEN": "your-discord-bot-token",
"TWITTER_TOKEN": "your-twitter-token",
"GOOGLE_EMAIL_REFRESH_TOKEN": "your-google-refresh-token",
"GOOGLE_EMAIL_CLIENT_ID": "your-google-client-id",
"GOOGLE_EMAIL_CLIENT_SECRET": "your-google-client-secret",
"LINEAR_API_KEY": "your-linear-api-key",
"GITHUB_PERSONAL_ACCESS_TOKEN": "your-github-pat",
"JIRA_EMAIL": "your-jira-email",
"JIRA_TOKEN": "your-jira-token",
"NOTION_API_KEY": "your-notion-api-key"
}
}
}
}
NOTE: when running 'npx' on Windows, you may need to explicitly call npx via the command prompt.
"command": "C:\\Windows\\System32\\cmd.exe /c npx"
Support
Please refer to the Graphlit API Documentation.
For support with the Graphlit MCP Server, please submit a GitHub Issue.
For further support with the Graphlit Platform, please join our Discord community.
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Graphlit MCP Server's Information
- Author
- graphlit
- Category
- Knowledge & Memory
- Language
- TypeScript
- License
- MIT License
- Version
- v1.0.1
- Stars
- 354
- Updated
- about 1 month ago
Configuration
{
"mcpServers": {
"graphlit-mcp-server": {
"command": "npx",
"args": [
"-y",
"graphlit-mcp-server"
],
"env": {
"GRAPHLIT_ORGANIZATION_ID": "<YOUR_ORG_ID>",
"GRAPHLIT_ENVIRONMENT_ID": "<YOUR_ENV_ID>",
"GRAPHLIT_JWT_SECRET": "<YOUR_JWT_SECRET>"
}
}
}
}Configure Clients
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