# Ecosyste.ms

> Use this tool when you need to query and analyze package ecosystem data across multiple programming languages, solving problems such as security audits, dependency analysis, and package discovery. It provides comprehensive package information, including metadata, security advisories, and version histories, through a combination of local database lookups and API fallbacks. Ideal for understanding the software supply chain, it accepts package names and ecosystems as inputs and returns detailed package information as output.

Canonical page: https://skillsregistry.net/skills/ecosyste-ms  
JSON: https://api.skillsregistry.net/v1/skills/ecosyste-ms

## Description

MCP server for querying package ecosystem data from ecosyste.ms, providing comprehensive package information across 30+ ecosystems including npm, PyPI, Maven, Cargo, and more. Combines a local SQLite database of critical packages for fast lookups with API fallback for comprehensive coverage. Offers tools to retrieve package metadata, security advisories, version histories, dependency information, and repository statistics. Useful for security audits, dependency analysis, package discovery, and understanding the software supply chain across multiple programming language ecosystems.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ecosyste-ms)
- **Repository:** <https://github.com/ecosyste-ms/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": "ecosyste-ms"
    }
  }
}
```

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