graphlit-mcp-server

MCP.Pizza Chef: graphlit

The graphlit-mcp-server is a Model Context Protocol (MCP) server that connects MCP clients with the Graphlit platform, enabling ingestion and unified search of data from Slack, Discord, websites, Google Drive, email, Jira, Linear, GitHub, and more. It transforms documents and web pages into Markdown for easy retrieval, creating a RAG-ready knowledge base for developers and product managers.

Use This MCP server To

Ingest data from Slack, Discord, and websites into Graphlit projects Convert documents and web pages to Markdown for knowledge extraction Search and retrieve relevant knowledge across multiple developer tools Create a unified, searchable knowledge base for product management Integrate MCP clients like Cursor and Windsurf with Graphlit data Enable retrieval-augmented generation (RAG) workflows with Graphlit Aggregate data from GitHub, Jira, and Linear into a single knowledge source

README

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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.

graphlit-mcp-server MCP server

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

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:

Install with NPX in VS Code Install with NPX in VS Code Insiders

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 mcp key is not needed in the .vscode/mcp.json file.

{
  "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.

graphlit-mcp-server FAQ

How do I set up the graphlit-mcp-server?
Follow the setup instructions in the GitHub README to connect your MCP clients with Graphlit services.
What types of data sources can graphlit-mcp-server ingest?
It supports Slack, Discord, websites, Google Drive, email, Jira, Linear, GitHub, and more.
How does graphlit-mcp-server handle document formats?
It extracts content from PDFs, DOCX, PPTX, and HTML pages, converting them into Markdown for easy indexing.
Can graphlit-mcp-server work with audio and video files?
Yes, it supports ingestion of audio and video files, extracting relevant metadata and transcripts when available.
Which MCP clients are compatible with graphlit-mcp-server?
Compatible with MCP clients like Cursor, Windsurf, Goose, and Cline for seamless knowledge retrieval.
Is graphlit-mcp-server suitable for building RAG workflows?
Yes, it creates RAG-ready knowledge bases by aggregating and indexing diverse data sources.
How secure is the data handled by graphlit-mcp-server?
Security depends on your Graphlit platform configuration; the server supports secure data ingestion and retrieval protocols.
Can I customize the ingestion pipeline in graphlit-mcp-server?
Yes, the server allows customization of data ingestion and processing workflows to fit your project needs.