anti-search
MCP server for web search and URL reading via CLIProxyAPI Antigravity backend, enabling web search, URL content retrieval, and grounded research.
README
anti-search
MCP server for web search and URL reading via CLIProxyAPI Antigravity backend.
Features
- web_search - Google Search via Gemini's googleSearch tool
- read_url - Read and summarize content from any URL (including Reddit, news sites, etc.)
- grounded_search - Combined search + URL context for comprehensive research
Prerequisites
- CLIProxyAPI running with Antigravity login
- Bun runtime
Installation
# Via npx (recommended)
npx anti-search
# Or via bunx
bunx anti-search
# Or install globally
npm install -g anti-search
Configuration
Set environment variables:
# CLIProxyAPI endpoint (default: http://localhost:8317)
ANTI_BASE_URL=http://localhost:8317
# API key for CLIProxyAPI (default: dummy)
ANTI_API_KEY=dummy
# Model to use (default: gemini-2.5-flash)
ANTI_MODEL=gemini-2.5-flash
Usage with Claude Code
Add to your MCP configuration (~/.claude.json or lazy-mcp config):
{
"mcpServers": {
"anti-search": {
"command": "npx",
"args": ["anti-search"],
"env": {
"ANTI_BASE_URL": "http://localhost:8317",
"ANTI_API_KEY": "dummy"
}
}
}
}
Tools
web_search
Search the web using Google Search.
{
"name": "web_search",
"arguments": {
"query": "latest AI news 2025"
}
}
read_url
Read and summarize content from a URL.
{
"name": "read_url",
"arguments": {
"url": "https://www.reddit.com/r/LocalLLaMA/",
"instruction": "List the top 3 posts"
}
}
grounded_search
Search the web and read URLs for comprehensive research.
{
"name": "grounded_search",
"arguments": {
"query": "Claude Code features and capabilities"
}
}
How It Works
This MCP server connects to CLIProxyAPI which provides access to Gemini's:
googleSearch- Server-side Google Search integrationurlContext- Server-side URL content retrieval
Both features are part of Google's Gemini API grounding capabilities.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.