MCP Server

Connect AI agents like Claude Code and Cursor to the Sigmie documentation via the Model Context Protocol — semantic search, page read, page list.

On this page

Sigmie runs a remote MCP (Model Context Protocol) server that gives AI agents semantic search across the full Sigmie documentation. Any MCP-compatible client — Claude Code, Cursor, Windsurf, or a custom agent — can search, browse, and read these docs without leaving the editor.

Add the server

In your project’s .mcp.json:

{
  "mcpServers": {
    "sigmie-docs": {
      "type": "http",
      "url": "https://sigmie.com/mcp"
    }
  }
}

Or add it globally in ~/.claude.json so it’s available in every project.

Restart your agent. Three tools become available:

  • search_docs — semantic search across all documentation.
  • read_doc — read a specific page in full.
  • list_docs — list every available page.

How it works

AI agent (Claude Code, Cursor, etc.)
   │
   │  HTTPS (Streamable HTTP)
   ▼
sigmie.com/mcp ──► Node.js MCP server
                       │
          ┌────────────┼────────────┐
          │            │            │
    search_docs   read_doc     list_docs
          │            │            │
          ▼            ▼            ▼
    Elasticsearch    docs/*.md    docs/*.md
    hybrid search    (full page)  (file list)
    (649 sections)

search_docs runs a hybrid query — keyword + 384-dim vectors — against an Elasticsearch index built from the docs.

Available tools

search_docs

search_docs({ query: "how to configure semantic search" })

Returns the top 10 matching sections with title, page slug, version, URL, and content. Ranked by a combination of keyword and vector scores.

read_doc

read_doc({ page: "search", version: "v2" })

Returns the full Markdown of a page. Use after search_docs to pull complete context — including code examples — into the agent’s working memory.

list_docs

list_docs({ version: "v2" })

Returns every page slug for a version. Useful for the agent to discover what’s available.

Use cases

AI-assisted development

Your coding assistant can look up the exact API while writing code:

"How do I add typo tolerance?"
→ search_docs returns the relevant section with code
→ The agent adapts the example to your codebase

Onboarding

New developers ask natural-language questions and get the right doc section back instead of browsing the table of contents.

Self-configuring agents

If you build an AI agent on top of Sigmie (using the Laravel AI SDK), the MCP server helps the agent understand its own search tool.

Client configuration

Claude Code (project)

.mcp.json in the project root:

{
  "mcpServers": {
    "sigmie-docs": {
      "type": "http",
      "url": "https://sigmie.com/mcp"
    }
  }
}

Claude Code (global)

~/.claude.json:

{
  "mcpServers": {
    "sigmie-docs": {
      "type": "http",
      "url": "https://sigmie.com/mcp"
    }
  }
}

Cursor

In Cursor’s MCP settings:

{
  "mcpServers": {
    "sigmie-docs": {
      "url": "https://sigmie.com/mcp"
    }
  }
}

See also