Model Context Protocol

LynxHub hosts an open Model Context Protocol (MCP) search server at https://docs.lynxhub.app/mcp. Connecting your AI application to the LynxHub MCP server allows your model to interactively search, browse, and retrieve up-to-date LynxHub documentation while generating responses.

Hosted MCP URL

You can connect your AI client to LynxHub’s public search MCP server using:

MCP Endpoint: https://docs.lynxhub.app/mcp
Discovery Endpoint: https://docs.lynxhub.app/.well-known/mcp

Available MCP tools and resources

When connected, your AI agent gains access to the following capabilities:

Tools

search: Searches across all LynxHub documentation pages to find relevant snippets and topic URLs matching a query.
query docs filesystem: Reads virtual documentation directories and fetches full Markdown contents of specific LynxHub pages in a single batch call.
submit feedback: Allows AI agents to report outdated or missing documentation back to the LynxHub team.

Resources

skill.md: Exposes LynxHub skills as MCP resources so your agent can inspect actionable workflows without additional CLI setup.

Connect AI tools to the LynxHub MCP server

Follow the setup instructions below for your preferred AI tool or editor:

Claude
Claude Code
Cursor
VS Code
Codex CLI

To connect LynxHub documentation to Claude:

Open connector settings

Navigate to the Connectors section in your Claude Settings.

Add custom connector

Click Add custom connector and fill in the details:

Name: LynxHub
URL: https://docs.lynxhub.app/mcp

Select in chat

In your Claude chat window, click the attachments icon (+), select LynxHub, and ask your question.

To add the LynxHub MCP server to Claude Code, run the following terminal command:

claude mcp add --transport http LynxHub https://docs.lynxhub.app/mcp

Verify the connection by running:

claude mcp list

To add LynxHub search to Cursor:

Open MCP settings

Press Ctrl+Shift+P (or Cmd+Shift+P on macOS), search for Open MCP settings, and select Add custom MCP.

Configure mcp.json

Add the LynxHub server configuration to your mcp.json file:

{
  "mcpServers": {
    "LynxHub": {
      "url": "https://docs.lynxhub.app/mcp"
    }
  }
}

Test in Cursor Chat

Ask Cursor Chat: “How do I configure terminal hotkeys in LynxHub?” Cursor will automatically call the LynxHub search MCP tool.

To connect LynxHub MCP in VS Code:

Create or open .vscode/mcp.json in your workspace.
Add the LynxHub server entry:

{
  "servers": {
    "LynxHub": {
      "type": "http",
      "url": "https://docs.lynxhub.app/mcp"
    }
  }
}

To connect LynxHub MCP to Codex CLI:Open ~/.codex/config.toml and add the following configuration block:

[mcp_servers.lynxhub]
url = "https://docs.lynxhub.app/mcp"

Which AI integration to use and when

LynxHub provides three complementary AI integration standards. Refer to the matrix below to choose the best option for your workflow:

Feature	`llms.txt`	`skill.md`	MCP Server
Primary Purpose	Documentation index for LLMs	Actionable capabilities & workflows	Real-time interactive doc search
Access URL	`https://docs.lynxhub.app/llms.txt`	`https://docs.lynxhub.app/skill.md`	`https://docs.lynxhub.app/mcp`
Best For	Static indexing & RAG pipelines	Plugin development & task execution	Coding in IDEs (Cursor, VS Code, Claude)
Context Usage	Low (index) to High (`llms-full.txt`)	Low (loaded on demand)	Zero context overhead until searched
Interactivity	Passive read	Guided step-by-step	Active tool calling & batch queries

Pro-tip: For the best coding experience in Cursor or VS Code, connect the MCP Server for real-time doc lookups, and load skill.md when building custom LynxHub extensions.

Application

Plugins

AI Agents Setup

Model Context Protocol

Hosted MCP URL

Available MCP tools and resources

Tools

Resources

Connect AI tools to the LynxHub MCP server

Which AI integration to use and when

​Hosted MCP URL

​Available MCP tools and resources

​Tools

​Resources

​Connect AI tools to the LynxHub MCP server

​Which AI integration to use and when

Hosted MCP URL

Available MCP tools and resources

Tools

Resources

Connect AI tools to the LynxHub MCP server

Which AI integration to use and when