# mcpc

> mcpc — micl2e2-mcpc. Use this tool when you need to implement the Model Context Protocol (MCP) in your C-based applications, providing a cross-platform solution for model management and interaction. It solves problems related to model integration, context switching, and protocol compatibility, accepting model data as input and producing standardized outputs. Ideal for use cases requiring MCP support, such as machine learning, AI, and data science projects, with integration via git for version control.

Canonical page: https://skillsregistry.net/skills/micl2e2-mcpc  
JSON: https://api.skillsregistry.net/v1/skills/micl2e2-mcpc

## Description

Cross-platform C SDK for Model Context Protocol (MCP), in modern🚀 C23.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/micl2e2/mcpc)

## 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": "micl2e2-mcpc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/micl2e2-mcpc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/micl2e2-mcpc/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