What is the key difference between Docs Ask (local docs RAG) and Haiku Rag?

Docs Ask (local docs RAG) belongs to the Knowledge & Memory category with local stdio execution, while Haiku Rag belongs to the Knowledge & Memory category with local stdio execution.

How do I install Docs Ask (local docs RAG) or Haiku Rag in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Docs Ask (local docs RAG) and Haiku Rag free or paid?

Docs Ask (local docs RAG) operates under a Free / Open Source model (No auth required). Haiku Rag operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Docs Ask (local docs RAG) lists 0 tools with 0 views and 0 GitHub stars. Haiku Rag lists 0 tools with 0 views and 597 GitHub stars.

Can I use both Docs Ask (local docs RAG) and Haiku Rag together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Docs Ask (local docs RAG) vs Haiku Rag

In-depth architectural comparison of the Docs Ask (local docs RAG) and Haiku Rag MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Docs Ask (local docs RAG)

Knowledge & Memory · Local stdio

Quality: 31/100 (Emerging) | Auth: No auth required

Haiku Rag

Knowledge & Memory · Local stdio

Quality: 41/100 (Fair) | Auth: No auth required

Verdict Summary: Choose Docs Ask (local docs RAG) if you need specialized Knowledge & Memory tools running via a local process. Choose Haiku Rag if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Docs Ask (local docs RAG) when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Docs Ask (local docs RAG) Details

Choose Haiku Rag when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).

Explore Haiku Rag Details

Feature & Specification Comparison

Specification	Docs Ask (local docs RAG) Knowledge & Memory	Haiku Rag Knowledge & Memory
Summary	Local RAG MCP for markdown documentation. Retrieval only; host synthesizes answers.	Agentic Retrieval Augmented Generation (RAG) with LanceDB
Category & Scope	Knowledge & Memory	Knowledge & Memory

Tools & Capabilities Breakdown

Docs Ask (local docs RAG) Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Haiku Rag Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Docs Ask (local docs RAG) Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "docs-ask-local-docs-rag": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/inspector"
      ]
    }
  }
}

Haiku Rag Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "haiku-rag": {
      "command": "uvx",
      "args": [
        "haiku.rag"
      ]
    }
  }
}

Frequently Asked Questions

Docs Ask (local docs RAG) is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Haiku Rag belongs to Knowledge & Memory using local stdio subprocess. Select Docs Ask (local docs RAG) when you need capabilities focused on knowledge & memory and Haiku Rag when you require tools for knowledge & memory.

More alternatives to Docs Ask (local docs RAG)More alternatives to Haiku Rag Knowledge & Memory category hub