# TcpSocketMCP

> Use this tool when you need to integrate AI models with network services, enabling direct communication via raw TCP sockets. It solves problems of concurrent connection management, data buffering, and automated response handling, making it ideal for applications requiring real-time network interactions. The TcpSocketMCP tool accepts network service inputs and outputs raw TCP socket data, facilitating seamless communication between AI models and network services.

Canonical page: https://skillsregistry.net/skills/spaceykasey-tcpsocketmcp  
JSON: https://api.skillsregistry.net/v1/skills/spaceykasey-tcpsocketmcp

## Description

Enables AI models to interact directly with network services via raw TCP sockets, supporting multiple concurrent connections, buffering, and automated responses.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gbgee95i9n)
- **Repository:** <https://github.com/SpaceyKasey/TcpSocketMCP>

## 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": "spaceykasey-tcpsocketmcp"
    }
  }
}
```

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