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Coding with AI Agents

Use AI coding agents to work with Graphlit's documentation and SDK

Graphlit provides AI-readable documentation through MCP integration, giving AI coding tools direct access to our docs, SDK references, and code examples:

  • Agentic IDEs: Cursor, Windsurf

  • VS Code Extensions: Cline

  • CLI Tools: Claude Code, Factory Droid, OpenAI Codex

All can access Graphlit's documentation and SDK through our MCP servers.

MCP Servers for Coding Assistance

Graphlit provides two MCP servers to help AI agents assist you with coding:

1. Graphlit Documentation MCP Server

Read-only access to Graphlit's documentation for understanding concepts and finding code examples.

Server details:

  • URL: https://docs.graphlit.dev/~gitbook/mcp

  • Type: Documentation search

  • Capabilities: Search concepts, tutorials, API references, code examples

2. Ask Graphlit MCP Server

AI-powered SDK code generation for Python, TypeScript, and .NET.

Server details:

  • URL: https://ask.graphlit.dev/mcp

  • Type: Code generation

  • Capabilities: Generate working SDK code, translate between languages, suggest best practices

Setting up MCP Servers

Claude Desktop

Add both servers to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "graphlit-docs": {
      "url": "https://docs.graphlit.dev/~gitbook/mcp"
    },
    "ask-graphlit": {
      "url": "https://ask.graphlit.dev/mcp"
    }
  }
}

Cursor

  1. Open Cursor Settings (Cmd+, on macOS, Ctrl+, on Windows/Linux)

  2. Navigate to Features → MCP Servers

  3. Click Add MCP Server twice to add both servers:

    • Documentation Server:

      • Name: Graphlit Documentation

      • URL: https://docs.graphlit.dev/~gitbook/mcp

    • Code Generation Server:

      • Name: Ask Graphlit

      • URL: https://ask.graphlit.dev/mcp

  4. Click Save

Windsurf / Cline / Other Editors

Most MCP-compatible editors support URL-based MCP servers. Add both URLs above to your editor's MCP configuration.

Using the MCP Servers

Documentation Server

Once configured, AI coding agents can automatically:

  • Search Graphlit concepts and features

  • Find SDK code examples (Python, TypeScript, .NET)

  • Access API references and use case guides

  • Retrieve troubleshooting information

  • Get production patterns from case studies

Example prompts:

  • "How do I ingest a PDF with Graphlit?"

  • "Show me Graphlit's entity extraction workflow code"

  • "What are the differences between Graphlit's conversation types?"

  • "How does Graphlit handle multi-tenant applications?"

Ask Graphlit Code Generation Server

AI coding agents can generate SDK code in your preferred language:

  • Generate working code snippets (Python, TypeScript, .NET)

  • Translate examples between languages

  • Suggest best practices and patterns

  • Debug Graphlit integration code

  • Provide optimization recommendations

Example prompts:

  • "Generate TypeScript code to ingest a PDF and extract entities"

  • "Convert this Python Graphlit code to .NET"

  • "Show me best practice for multi-tenant conversation setup"

  • "How do I optimize this Graphlit query for performance?"

llms.txt

Graphlit publishes standardized llms.txt files containing essential information optimized for AI coding assistants:

  • Core concepts and architecture

  • SDK usage patterns and examples

  • API operation summaries

  • Best practices and common patterns

  • Production deployment guidance

Accessing llms.txt

AI assistants can access Graphlit's llms.txt at:

https://docs.graphlit.dev/llms.txt

This file is automatically generated by GitBook and contains curated, AI-optimized content from our documentation.

Ask Graphlit - Web App & Chatbot

For generating Graphlit code without IDE setup, use the Ask Graphlit web app:

URL: https://ask.graphlit.dev

Ask Graphlit is an AI chatbot trained on Graphlit's complete documentation, SDK references, and 60+ sample applications. It can:

  • Generate working SDK code in Python, TypeScript, or .NET

  • Translate examples between languages

  • Debug Graphlit integration issues

  • Suggest best practices and optimization patterns

  • Answer questions about Graphlit concepts and features

Best for: Quick code generation, learning Graphlit, debugging without IDE setup

Learn more: Ask Graphlit Documentation

Three Ways to Use AI for Coding

Method
Best For
Setup Required

Documentation MCP Server

Understanding concepts, finding examples

Minimal (just URL)

Ask Graphlit Web App

Quick code generation, no IDE needed

None (just visit site)

Ask Graphlit MCP Server

Code generation inside your IDE

Minimal (just URL)

Best Practices

Combining Documentation Search + Code Generation

Recommended workflow:

  1. Learn (Documentation MCP): Understand concepts and architecture

  2. Generate (Ask Graphlit MCP): Generate SDK code in your language inside IDE

  3. Reference (Documentation MCP): Look up details while coding

  4. Optimize (Ask Graphlit MCP): Get suggestions for improvements

Example Workflow

Scenario: Build a Slack integration with entity extraction

Step 1 (Documentation MCP in Cursor):
"How does Graphlit's Slack feed integration work?"
→ Returns feed documentation and OAuth setup guide

Step 2 (Ask Graphlit MCP in Cursor):
"Generate TypeScript code to create a Slack feed with entity extraction"
→ Returns complete working code with workflow configuration

Step 3 (Documentation MCP in Cursor):
"How do I deploy this to production with multi-tenant isolation?"
→ Returns production deployment patterns and user scoping guide

Step 4 (Ask Graphlit MCP in Cursor):
"Optimize this code for multiple users"
→ Generates code with userId scoping and best practices

What AI Assistants Can Access

Through the MCP server and llms.txt, AI assistants have access to:

✅ Getting Started guides (Platform Overview, Quickstart) ✅ SDK Setup (Python, TypeScript, .NET installation) ✅ Tutorials (AI Agents, Knowledge Graph, Context Engineering) ✅ Platform Concepts (Key Concepts, Semantic Memory, Models, Connectors) ✅ API Use Case Library (100+ operation examples) ✅ Production Guides (Multi-tenant, scaling, deployment) ✅ Case Studies (Zine production architecture)

❌ Not accessible: Private project data, API keys, user credentials

Need Help?

If you have questions about using AI assistants with Graphlit:

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