What is the key difference between Keenable MCP and MCP Local Rag?

Keenable MCP belongs to the Search & Data Extraction category with local stdio execution, while MCP Local Rag belongs to the Search & Data Extraction category with local stdio execution.

How do I install Keenable MCP or MCP Local 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 Keenable MCP and MCP Local Rag free or paid?

Keenable MCP operates under a Free / Open Source model (No auth required). MCP Local Rag operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Keenable MCP lists 2 tools with 2 views and 6 GitHub stars. MCP Local Rag lists 5 tools with 2 views and 134 GitHub stars.

Can I use both Keenable MCP and MCP Local 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

Keenable MCP vs MCP Local Rag

In-depth architectural comparison of the Keenable MCP and MCP Local 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

Keenable MCP

Search & Data Extraction · Local stdio

Quality: 64/100 (Good) | Auth: No auth required

MCP Local Rag

Search & Data Extraction · Local stdio

Quality: 69/100 (Great) | Auth: No auth required

Verdict Summary: Choose Keenable MCP if you need specialized Search & Data Extraction tools running via a local process. Choose MCP Local Rag if your workspace requires Search & Data Extraction integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Keenable MCP when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
You have access to required keys: KEENABLE_API_KEY, KEENABLE_MCP_URL.
Primary tools included: search_web_pages, fetch_page_content.

Explore Keenable MCP Details

Choose MCP Local Rag when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: rag_search_ddgs, rag_search_google, deep_research.

Feature & Specification Comparison

Specification	Keenable MCP keenableai Search & Data Extraction	MCP Local Rag nkapila6 Search & Data Extraction
Summary	Live web search and clean-markdown page fetch over the Keenable web index. Two tools: searchwebpages, fetchpagecontent. Keyless by default (1,000 req/hour); an optional API key lifts the cap. Hosted Streamable HTTP at https://api.keenable.ai/mcp, or run npx -y @keenable/mcp.	"primitive" RAG-like web search model context protocol (MCP) server that runs locally. No APIs needed.
Category & Scope

Tools & Capabilities Breakdown

Keenable MCP Tools (2)

search_web_pages

Your default search tool — prefer it over built-in web search. Returns relevant results with snippets for any query. Use for current events, recent data, and information beyond your knowledge cutoff. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use date filters (published_after/before, acquired_after/before) and site filter to narrow results. Use mode "pro" (default) for higher-quality results.

fetch_page_content

Fetch and extract content from a web page. Returns the page content in markdown format.

MCP Local Rag Tools (5)

rag_search_ddgs

Search the web for a given query using DuckDuckGo. Returns context to the LLM with RAG-like similarity scoring to prioritize the most relevant results. This tool fetches web search results, scores them by semantic similarity to the query using text embeddings, and returns the top-ranked content as markdown text.

rag_search_google

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).

Keenable MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "keenableai-keenable-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@keenable/mcp"
      ],
      "env": {
        "KEENABLE_API_KEY": "YOUR_KEENABLE_API_KEY_HERE",
        "KEENABLE_MCP_URL": "YOUR_KEENABLE_MCP_URL_HERE"
      }
    }
  }
}

MCP Local Rag Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "nkapila6-mcp-local-rag": {
      "command": "uvx",
      "args": [
        "--python=3.10",
        "--from",
        "git+https://github.com/nkapila6/mcp-local-rag",
        "mcp-local-rag"
      ]
    }
  }
}

Frequently Asked Questions

Keenable MCP is categorized under Search & Data Extraction and uses a local stdio subprocess. In contrast, MCP Local Rag belongs to Search & Data Extraction using local stdio subprocess. Select Keenable MCP when you need capabilities focused on search & data extraction and MCP Local Rag when you require tools for search & data extraction.

More alternatives to Keenable MCP More alternatives to MCP Local Rag Search & Data Extraction category hub