MCP Docs Server

Give coding agents targeted access to Caesar documentation

Caesar’s documentation includes a docs MCP (Model Context Protocol) server designed for coding agents building applications that integrate with Caesar. 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 only. It helps agents understand how to integrate with Caesar, but it does not provide tools to interact with Caesar APIs.

Need MCP tools for the research API? See the Research MCP Server.

Server URL

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

Setup

OpenCode

Add the docs MCP server to your OpenCode config under mcp (see the OpenCode MCP docs):

opencode.json
1{
2 "$schema": "https://opencode.ai/config.json",
3 "mcp": {
4 "caesar-docs": {
5 "type": "remote",
6 "url": "https://docs.caesar.org/_mcp/server",
7 "enabled": true
8 }
9 }
10}

Cursor

Add a remote MCP server in mcp.json (see Cursor MCP docs):

mcp.json
1{
2 "mcpServers": {
3 "caesar-docs": {
4 "url": "https://docs.caesar.org/_mcp/server"
5 }
6 }
7}

Claude Code

Use the CLI to add the remote HTTP server (see Claude Code MCP docs):

$claude mcp add --transport http caesar-docs https://docs.caesar.org/_mcp/server

Codex

Add the server in ~/.codex/config.toml (see Codex MCP docs):

config.toml
1[mcp_servers.caesar_docs]
2url = "https://docs.caesar.org/_mcp/server"

Droid

Add the HTTP server with the CLI (see Droid MCP docs):

$droid mcp add caesar-docs https://docs.caesar.org/_mcp/server --type http

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 Docs Server
Loading full docs into contextllms.txt
IDE/agent integration (Cursor, Claude Code, etc.)MCP Docs Server
ChatGPT or web-based AIllms.txt
MCP Docs Server

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

llms.txt

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