# com.datakoot/package-intel-mcp

> com.datakoot/package-intel-mcp — com-datakoot-package-intel-mcp. Use this tool when you need to gather intelligence on software packages from npm, PyPI, and crates.io, providing insights into versions, popularity, dependencies, and health without requiring API keys. It solves problems related to package research, dependency management, and project planning by offering a unified interface for multiple package managers. This tool is ideal for AI agents requiring package data to inform development decisions or automate dependency management tasks.

Canonical page: https://skillsregistry.net/skills/com-datakoot-package-intel-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-datakoot-package-intel-mcp

## Description

npm, PyPI & crates.io intel for AI agents: versions, popularity, deps, health. No API keys.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 2.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.datakoot%2Fpackage-intel-mcp)
- **Repository:** <https://github.com/datakoot/package-intel-mcp>

## Use it

MCP endpoint published by the skill: `https://package.datakoot.com/mcp`

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": "com-datakoot-package-intel-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-datakoot-package-intel-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-datakoot-package-intel-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
