Stop Hunting for Information Across a Dozen Tools

You know the drill: that crucial implementation detail is buried somewhere in Slack, the API docs are in Notion, user feedback is scattered across Linear and GitHub issues, and your team's knowledge lives in Google Drive. You spend more time hunting down information than actually building.

The Context Switching Tax

Every time you need to reference something, you're playing detective across multiple platforms. Check Slack for that architecture decision, dig through Jira for the requirements, hunt through GitHub issues for the bug report, then piece it all together in your head. By the time you've gathered the context, you've lost your flow state.

Traditional approaches require you to integrate each tool separately—Firecrawl for web scraping, Exa for search, custom APIs for each data source. You end up maintaining a fragile collection of integrations that break when APIs change.

Your IDE Becomes Your Knowledge Hub

Graphlit MCP Server transforms your IDE into a unified search interface across all your developer tools. Instead of context switching between platforms, you query your entire knowledge base directly from Cursor, Windsurf, or any MCP-compatible client.

Here's what happens when you connect it to your stack:

• Instant Search: Ask "What was the decision on the authentication flow?" and get results from Slack threads, GitHub discussions, and Linear tickets
• Automatic Processing: Documents become searchable Markdown, audio/video files get transcribed, and everything is indexed for semantic search
• Built-in RAG: Your knowledge base becomes conversational—ask follow-up questions and get contextual answers
• Zero Setup Complexity: One integration replaces dozens of individual tool connections

Real-World Workflows

During Code Review: Instead of asking "Why did we implement it this way?" in comments, search your knowledge base for the original architectural decision, user story, and related discussions. Get the full context instantly.

Sprint Planning: Query across Linear, GitHub, and Slack to understand the complete scope of a feature request. See user feedback, technical constraints, and implementation discussions in one search.

Debugging: When investigating a bug, search for similar issues across GitHub, Slack conversations, and documentation. Find patterns and solutions without manually checking each platform.

Documentation: Generate context-aware documentation by querying your knowledge base for implementation details, user feedback, and design decisions. The AI has access to your entire information ecosystem.

Integration That Just Works

Setup takes minutes, not hours:

npx -y graphlit-mcp-server

Add your Graphlit credentials to your MCP client config, and you're connected. No need to configure individual APIs for Slack, GitHub, Linear, Notion, or any other tool—Graphlit handles the authentication and data extraction.

The server automatically:

• Processes new content as it arrives
• Maintains searchable indexes across all sources
• Handles rate limiting and API pagination
• Provides semantic search without additional embedding setup

Beyond Search: A Complete Knowledge Platform

While search is the primary use case, you get additional capabilities that replace specialized tools:

• Web Crawling: Built-in crawler eliminates the need for Firecrawl
• Content Extraction: Automatic conversion of PDFs, presentations, and documents to structured data
• Multi-modal Understanding: Visual content description and image similarity search
• Publishing Pipeline: Generate audio summaries, create images, and automate content creation

This isn't just another search tool—it's a complete knowledge management system that happens to integrate perfectly with your existing MCP workflow.

Your scattered information becomes a coherent, searchable knowledge base that lives where you actually work: in your IDE, available through natural language queries, providing the context you need without the context switching tax.