# Claude Code MCP Server

> Use this tool when you need to programmatically interact with Anthropic's AI coding capabilities, such as generating or completing code. It provides a server implementation for accessing Claude Code, solving problems like automated coding tasks and AI-driven software development. The tool accepts input requests and returns generated code outputs, ideal for use cases like devops automation and AI-assisted coding workflows.

Canonical page: https://skillsregistry.net/skills/claude-code  
JSON: https://api.skillsregistry.net/v1/skills/claude-code

## Description

An MCP server implementation for interacting with Claude Code, providing programmatic access to Anthropic's AI coding capabilities.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/claude-code)

## 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": "claude-code"
    }
  }
}
```

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