Integration

MCP Server

Query Caesar documentation from AI development tools

Caesar’s documentation includes an MCP (Model Context Protocol) server that lets AI tools query our docs directly. MCP is an open standard by Anthropic that enables AI applications to connect with external data sources.

This MCP server provides access to Caesar’s documentation, not the research API itself. Use it to get help with integration, understand parameters, or troubleshoot issues.

Server URL

https://docs.caesar.org/_mcp/server

Setup

Add to your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

claude_desktop_config.json
1{
2  "mcpServers": {
3    "caesar-docs": {
4      "command": "npx",
5      "args": [
6        "mcp-remote",
7        "https://docs.caesar.org/_mcp/server"
8      ]
9    }
10  }
11}

Restart Claude Desktop to activate.

Usage

Once connected, you can ask your AI assistant questions about Caesar:

How do I set up authentication for the Caesar API?
What's the difference between reasoning_loops and reasoning_mode?
Show me how to use Caesar with the OpenAI SDK.

The MCP server queries Caesar’s documentation and returns relevant information directly in your AI tool.

Available tools

The MCP server exposes a search tool that queries Caesar documentation:

ToolDescription
search_docsSearch Caesar documentation using natural language queries

Example queries

QuestionWhat you’ll get
”How do I authenticate?”API key setup, header format, examples
”What parameters control research depth?”reasoning_loops, reasoning_mode, auto mode
”How do I stream results?”SSE endpoint, event format, code examples
”What are the rate limits?”Concurrency caps, monthly budgets, billing info

When to use MCP vs llms.txt

Use caseRecommended
Quick questions while codingMCP Server
Loading full docs into contextllms.txt
IDE integration (Cursor, Claude Desktop)MCP Server
ChatGPT or web-based AIllms.txt
MCP Server

Best for interactive Q&A. Ask questions, get targeted answers from the docs.

llms.txt

Best for bulk context. Load entire documentation sections into your AI’s context window.