Graphlit MCP Server Detailed Introduction

Overview

The Graphlit MCP Server is a server implementation based on the Model Context Protocol (MCP), designed to seamlessly integrate MCP clients with the Graphlit platform. This project provides developers with a powerful tool to ingest content from various data sources and build searchable, AI-driven knowledge bases.

Through the Graphlit MCP Server, users can easily ingest content from platforms such as Slack, Discord, websites, Google Drive, email, Jira, Linear, or GitHub into Graphlit projects, and then search and retrieve relevant knowledge in MCP clients like Cursor, Windsurf, Goose, or Cline.

Core Features and Capabilities

🔍 Query and Retrieval Functionality

• Content Query: Supports efficient querying of ingested content.
• Collection Query: Allows querying of specific content collections.
• Dynamic Query: Supports dynamic querying of data sources and conversations.
• Relevance Retrieval: Retrieves relevant resources based on semantic similarity.
• Image Similarity: Supports retrieval of similar images.
• Image Description: Provides AI-driven visual descriptions of images.

🤖 AI Integration Features

• LLM Conversation: Supports large language model conversation prompts.
• Structured Extraction: Automatically extracts structured JSON data from text.
• Audio Generation: Integrates ElevenLabs for audio content publishing.
• Image Generation: Integrates OpenAI for image generation.

📊 Multi-Format Content Support

Document Types:

• Automatically converts documents like PDF, DOCX, and PPTX to Markdown format.
• Extracts and formats HTML web page content.

Media Files:

• Automatically transcribes audio files.
• Automatically transcribes and processes video files.

Other Formats:

• Text files, messages, posts, emails.
• Issue tracking, short-term memory storage.

🔗 Rich Data Source Integration

Email Platforms:

• Microsoft Outlook
• Google Mail

Project Management Tools:

• Notion
• Linear
• Jira
• GitHub Issues

Cloud Storage Services:

• Google Drive
• OneDrive
• SharePoint
• Dropbox
• Box

Collaboration Platforms:

• Slack
• Microsoft Teams
• Discord
• Twitter/X

Content Discovery:

• Podcasts (RSS subscription)
• Web crawling
• Web search (including podcast search)
• Web mapping
• Page screenshots

⚙️ Management and Configuration Features

Project Management:

• Project configuration
• Creation and management of content collections
• Content add/remove operations
• Batch deletion functionality (collections, data sources, content, conversations)

Status Monitoring:

• Data source processing status checks
• Content processing completion status monitoring

Platform Integration:

• Slack channel list retrieval
• Microsoft Teams team and channel management
• SharePoint library and folder browsing
• Linear project list
• Notion database integration

🛠️ Developer-Friendly Features

Multi-IDE Support:

• VS Code (built-in support)
• Cursor IDE
• Windsurf IDE
• Cline IDE
• Claude Desktop

Easy Installation:

• One-click installation button
• NPX quick deployment
• Environment variable configuration
• JSON configuration file support

Built-in Tools:

• No need to separately integrate tools like Firecrawl or Exa.
• Built-in web crawler and search functionality.
• Automated workflow support.

Technical Architecture

Core Components

• Project: The basic unit of data management.
• Contents: Ingested documents and media files of various types.
• Feeds: Channels for connecting to external data.
• Collections: Logical groupings of content.
• Workflows: Automated processing flows.
• Conversations: AI interaction records.
• Specifications: Configuration and specification definitions.

Environment Configuration

The project requires the following environment variables for authentication:

• GRAPHLIT_ENVIRONMENT_ID: Environment identifier
• GRAPHLIT_ORGANIZATION_ID: Organization identifier
• GRAPHLIT_JWT_SECRET: JWT signing key

Extended Connectors

Supports configuring additional data connector credentials, including API keys and access tokens for platforms such as Slack, Google Email, and Notion.

Use Cases

Development Team Knowledge Management

• Integrate GitHub Issues, Jira tasks, and Slack discussions.
• Build a team knowledge base for quickly retrieving project-related information.
• Automate document generation and knowledge sharing.

Product Management

• Integrate Linear projects, Notion documents, and user feedback.
• Create a data-driven support system for product decisions.
• Aggregate and analyze information across platforms.

Enterprise Knowledge Base

• Unify enterprise data such as emails, documents, and meeting minutes.
• Build intelligent search and question-answering systems.
• Improve information retrieval efficiency and decision-making quality.

Installation and Configuration

System Requirements

• Node.js 18.x or higher
• Active Graphlit platform account
• Corresponding IDE or MCP client

Quick Start

1. Install using the one-click installation button or NPX command.
2. Configure environment variables and API keys.
3. Add MCP server configuration in the target IDE.
4. Start ingesting data and building the knowledge base.

Summary

The Graphlit MCP Server is a powerful and easy-to-use knowledge management solution that seamlessly combines diverse data sources with AI-driven search and retrieval capabilities through the MCP protocol. Whether for individual developers or enterprise teams, this tool enables the rapid construction of intelligent knowledge base systems.

The main advantages of this project are:

• Wide Data Source Support: Covers mainstream collaboration and storage platforms.
• AI-Native Design: Built-in semantic search and intelligent retrieval.
• Developer-Friendly: Supports multiple IDEs and convenient configuration methods.
• Enterprise-Grade Features: Provides complete content management and workflow automation.

For developers and enterprises looking to build intelligent knowledge management systems, the Graphlit MCP Server provides an ideal starting point and a strong technical foundation.