What is the key difference between Openai Websearch MCP and Agent Search MCP?

Openai Websearch MCP 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 Openai Websearch MCP 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 Openai Websearch MCP and Agent Search MCP free or paid?

Openai Websearch MCP operates under a BYOK (Pay Provider Direct) model (API Key required). Agent Search MCP operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Openai Websearch MCP lists 6 tools with 3 views and 93 GitHub stars. Agent Search MCP lists 7 tools with 4 views and 108 GitHub stars.

Can I use both Openai Websearch MCP 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

Openai Websearch MCP vs Agent Search MCP

In-depth architectural comparison of the Openai Websearch MCP 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

Openai Websearch MCP

Search & Data Extraction · Local stdio

Quality: 44/100 (Fair) | Auth: API Key required

Agent Search MCP

Search & Data Extraction · Local stdio

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

Verdict Summary: Choose Openai Websearch MCP 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 Openai Websearch MCP when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: OPENAI_API_KEY, OPENAI_DEFAULT_MODEL.
Primary tools included: OpenAI web search through MCP, Reasoning model selection, Configurable reasoning effort.

Explore Openai Websearch MCP 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.

Feature & Specification Comparison

Specification	Openai Websearch MCP ConechoAI Search & Data Extraction	Agent Search MCP lennney Search & Data Extraction
Summary	This is a Python-based MCP server that provides OpenAI websearch built-in tool.	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

Openai Websearch MCP Tools (6)

OpenAI web search through MCP

Reasoning model selection

Configurable reasoning effort

Adjustable search context size

Localized search support

Claude Desktop and Cursor configuration

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).

Openai Websearch MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "conechoai-openai-websearch-mcp": {
      "command": "uvx",
      "args": [
        "--with"
      ],
      "env": {
        "OPENAI_API_KEY": "YOUR_OPENAI_API_KEY_HERE",
        "OPENAI_DEFAULT_MODEL": "YOUR_OPENAI_DEFAULT_MODEL_HERE"
      }
    }
  }
}

Agent Search MCP Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

Openai Websearch MCP 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 Openai Websearch MCP when you need capabilities focused on search & data extraction and Agent Search MCP when you require tools for search & data extraction.

More alternatives to Openai Websearch MCP More alternatives to Agent Search MCP Search & Data Extraction category hub