# web-intelligence-mcp

> web-intelligence-mcp — moha-tah-web-intelligence-mcp. Use this tool when you need to gather web intelligence and enrich company data, as it provides core functionalities such as tech stack detection, sitemap monitoring, and URL indexability, with outputs including company enrichment data and EU fuel prices, accepting various inputs through its git-enabled interface. It solves problems related to web data collection and company research, offering a pay-per-result model for efficient data gathering. Ideal for use cases requiring web data insights and company profiling.

Canonical page: https://skillsregistry.net/skills/moha-tah-web-intelligence-mcp  
JSON: https://api.skillsregistry.net/v1/skills/moha-tah-web-intelligence-mcp

## Description

MCP tools for AI agents: tech stack detection, company enrichment, sitemap monitoring, URL indexability, EU fuel prices. Pay per result.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/moha-tah/web-intelligence-mcp)

## 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": "moha-tah-web-intelligence-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/moha-tah-web-intelligence-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/moha-tah-web-intelligence-mcp/pull`

---
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