What is the key difference between MCP Local Rag and Agent Search MCP?

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

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

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

Which MCP server has more tools and community activity?

MCP Local Rag lists 6 tools with 2 views and 134 GitHub stars. Agent Search MCP lists 7 tools with 4 views and 108 GitHub stars.

Can I use both MCP Local Rag and Agent Search MCP 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

MCP Local Rag vs Agent Search MCP

In-depth architectural comparison of the MCP Local Rag and Agent Search MCP 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

MCP Local Rag

Search & Data Extraction · Local stdio

Quality: 53/100 (Good) | Auth: No auth required

Agent Search MCP

Search & Data Extraction · Local stdio

Quality: 68/100 (Great) | Auth: No auth required

Verdict Summary: Choose MCP Local Rag if you need specialized Search & Data Extraction tools running via a local process. Choose Agent Search MCP 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 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: Multi-engine search across 9+ backends, Multi-topic deep research, Semantic similarity ranking.

Explore MCP Local Rag Details

Choose Agent Search 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).
Primary tools included: free_search, free_search_advanced, free_extract.

Explore Agent Search MCP Details

Feature & Specification Comparison

Specification	MCP Local Rag nkapila6 Search & Data Extraction	Agent Search MCP lennney Search & Data Extraction
Summary	"primitive" RAG-like web search model context protocol (MCP) server that runs locally. No APIs needed.	Free multi-engine MCP search server — 8 free engines (DDG, Sogou, Bing, Baidu, Wikipedia, Startpage, Yandex, Mojeek), waterfall progressive search, multi-source verification, content enrichment, news search, language auto-detection, CLI. Zero API keys needed. npx agent-search-mcp
Category & Scope

Tools & Capabilities Breakdown

MCP Local Rag Tools (6)

Multi-engine search across 9+ backends

Multi-topic deep research

Semantic similarity ranking

Google- and DuckDuckGo-focused search tools

Local embedded text embeddings

HTML-to-Markdown context extraction

Agent Search MCP Tools (7)

free_search

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).

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"
      ]
    }
  }
}

Agent Search MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "lennney-agent-search-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "agent-search-mcp"
      ]
    }
  }
}

Frequently Asked Questions

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

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