What is the key difference between Agent Search Mcp and TinySearch?

Agent Search Mcp belongs to the Search & Data Extraction category with local stdio execution, while TinySearch belongs to the Search & Data Extraction category with local stdio execution.

How do I install Agent Search Mcp or TinySearch 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 Agent Search Mcp and TinySearch free or paid?

Agent Search Mcp operates under a Free / Open Source model (No auth required). TinySearch operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Agent Search Mcp lists 6 tools with 0 views and 90 GitHub stars. TinySearch lists 5 tools with 0 views and 181 GitHub stars.

Can I use both Agent Search Mcp and TinySearch 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.

How do I install Agent Search Mcp or TinySearch in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Agent Search Mcp and TinySearch free to use, or do they require API keys?

Agent Search Mcp is listed under a Free / Open Source model with No auth required . TinySearch operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Agent Search Mcp and TinySearch at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both lennney-agent-search-mcp and marcellm01-tinysearch as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Agent Search Mcp has a Quality Score of 51 /100 ( Good ) with 0 views, 0 installs, and 90 GitHub stars. TinySearch holds a Quality Score of 51 /100 ( Good ) with 0 views, 0 installs, and 181 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Agent Search Mcp vs TinySearch

In-depth architectural comparison of the Agent Search Mcp and TinySearch 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

Agent Search Mcp

Search & Data Extraction · Local stdio

Quality: 51/100 (Good) | Auth: No auth required

TinySearch

Search & Data Extraction · Local stdio

Quality: 51/100 (Good) | Auth: No auth required

Verdict Summary: Choose Agent Search Mcp if you need specialized Search & Data Extraction tools running via a local process. Choose TinySearch 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 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: Supports 8+ zero-key search engines including DuckDuckGo, Bing, Baidu, Wikipedia, Multi-source evidence with provenance and partial failure visibility, Configurable request policies to manage paid provider usage and budgets.

Explore Agent Search Mcp Details

Choose TinySearch 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: Local hybrid reranking with ONNX embeddings and BM25, Search backend options: DuckDuckGo via DDGS or self-hosted SearXNG, Compact evidence output with source URLs for context.

Feature & Specification Comparison

Specification	Agent Search Mcp lennney Search & Data Extraction	TinySearch MarcellM01 Search & Data Extraction
Summary	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	Self-hosted web research for MCP agents: search (SearXNG, with DuckDuckGo fallback), crawl, dense+BM25 rerank, and dedupe into a source-grounded, cited prompt. Local ONNX embeddings by default, or bring an OpenAI-compatible embedding API.
Category & Scope

Tools & Capabilities Breakdown

Agent Search Mcp Tools (6)

Supports 8+ zero-key search engines including DuckDuckGo, Bing, Baidu, Wikipedia

Multi-source evidence with provenance and partial failure visibility

Configurable request policies to manage paid provider usage and budgets

Automatic language detection for English, Chinese, and other languages

Compact output mode reducing token usage by ~30%

Accessible via CLI, stdio, and Streamable HTTP with no external dependencies

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).

Agent Search Mcp Configuration

mcpServers (Claude Desktop / Cursor)

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

TinySearch Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "marcellm01-tinysearch": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to Agent Search Mcp More alternatives to TinySearch Search & Data Extraction category hub