@dotnetpower
基本信息
🕸️ Fully decentralized P2P search engine for LLMs — no API key, no billing, forever free. MCP-native web search via Kademlia DHT + libp2p + FTS5. Production stable ✅ → pip install infomesh
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"infomesh": {
"command": "uvx",
"args": [
"infomesh",
"mcp"
],
"env": {}
}
}
}Search the web via InfoMesh P2P search engine. Returns ranked results with optional full content, RAG chunking, and score explanations. Example: web_search(query='python asyncio tutorial')
Fetch full text of a specific URL. Returns cached content or crawls live. Max 100KB. Example: fetch_page(url='https://...')
Add a URL to the crawl queue and index it. Rate limited to 60/hour. Example: crawl_url(url='https://example.com', depth=1)
Cross-reference a claim against indexed web content. Returns verdict with supporting/contradicting sources. Example: fact_check(claim='Python was created in 1991')
Node status: index size, peer count, credit balance, search quota, and analytics. Example: status()
Infomesh is a fully decentralized peer-to-peer search engine for LLMs, accessible via the Model Context Protocol (MCP). It requires no API keys, credit cards, or usage caps, and is designed for AI developers, open-source assistants, and researchers who need free real-time web search.
Install Infomesh with pip install infomesh or via the uv package manager. Run the node to join the P2P network, then search from any MCP client, the CLI (infomesh search), Python code, or a local HTTP API. No sign-up or configuration is needed beyond installation.
Infomesh is the only fully decentralized, offline-capable MCP server with no API key, unlimited free search (credit-based), and support for crawling your own URLs. It does not rely on a central provider or SaaS dependency.
Infomesh requires Python 3.12+ and a Linux terminal (Ubuntu, Debian, etc.). No prior Python or developer experience is needed. The `uv` package manager is optional but recommended.
Search queries are processed locally or routed as hashed keywords through the DHT. Your data never leaves your node unless you choose to share it. Crawled content is fingerprinted, signed, and published to the DHT—no central server stores your search history.
Search is credit-based: you earn credits by contributing crawling to the network. There are no per-query costs, rate limits per dollar, or fixed monthly caps. New nodes have a 24-hour probation period, and per-keyword DHT publish rate is limited to 10 per hour per node.
Infomesh supports MCP (for AI assistants), CLI, Python package, and local HTTP API. Authentication uses Ed25519 cryptographic keys generated on first launch—no API keys or billing accounts are required. All peer-to-peer communication is encrypted via libp2p's Noise protocol.
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