# Claude MCP Server Integration

> Use this tool when you need to integrate natural language capabilities with filesystem operations and development support. It solves problems related to file management and development tasks by enabling users to interact with the filesystem and perform actions through natural language inputs. The tool takes natural language commands as input and outputs corresponding filesystem operations and development support actions, ideal for use cases where efficient file management and development support are required.

Canonical page: https://skillsregistry.net/skills/mokemoke0821-claude-mcp-integration  
JSON: https://api.skillsregistry.net/v1/skills/mokemoke0821-claude-mcp-integration

## Description

Integration project for Model Context Protocol (MCP) servers with Claude Desktop App, enabling filesystem operations, development support, and file management through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/icgdtxz804)
- **Repository:** <https://github.com/mokemoke0821/claude-mcp-integration>

## 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": "mokemoke0821-claude-mcp-integration"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mokemoke0821-claude-mcp-integration` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mokemoke0821-claude-mcp-integration/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
