# infomesh

> Use this tool when you need to perform decentralized web searches without relying on centralized APIs or incurring billing costs. Infomesh solves problems related to data privacy, scalability, and cost-effectiveness in large language model (LLM) applications, providing a peer-to-peer network for crawling, indexing, and searching the web. It offers a range of tools, including web search, page fetching, and fact-checking, with simple interface inputs and outputs for seamless integration.

Canonical page: https://skillsregistry.net/skills/dotnetpower-infomesh  
JSON: https://api.skillsregistry.net/v1/skills/dotnetpower-infomesh

## Description

Fully decentralized P2P web search engine for LLMs. Crawls, indexes, and searches the web via a peer-to-peer network — no API key, no billing. Exposes 5 MCP tools: web_search, fetch_page, crawl_url, fact_check, and status.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-05-20

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ydtlvm2rq9)
- **Repository:** <https://github.com/dotnetpower/infomesh>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dotnetpower-infomesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dotnetpower-infomesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dotnetpower-infomesh/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt