# NPM Context Agent MCP

> Use this tool when you need to analyze and explore npm packages through natural language queries, providing comprehensive contextual information including README files, versions, and dependencies. It solves problems related to package research and discovery, offering search functionality and intelligent GitHub README fetching. Ideal for use cases where detailed package information is required, such as development, debugging, and dependency management.

Canonical page: https://skillsregistry.net/skills/juansebastiangb-npm-context-agent-mcp  
JSON: https://api.skillsregistry.net/v1/skills/juansebastiangb-npm-context-agent-mcp

## Description

Provides comprehensive contextual information about npm packages including README files, versions, dependencies, download statistics, and search functionality. Enables users to explore and analyze npm packages through natural language queries with intelligent GitHub README fetching and branch fallback.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t37azsmptp)
- **Repository:** <https://github.com/JuanSebastianGB/npm-context-agent-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": "juansebastiangb-npm-context-agent-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/juansebastiangb-npm-context-agent-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/juansebastiangb-npm-context-agent-mcp/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
