# smcp

> smcp — seaavey-smcp. Use this tool when you need to deploy a high-performance Model Context Protocol server for AI agents, solving issues of scalability and efficiency in model serving and management. It takes in model configurations and outputs optimized model contexts, providing a robust interface for AI model deployment. Ideal for use cases requiring fast and reliable model serving, such as large-scale AI applications and machine learning workflows.

Canonical page: https://skillsregistry.net/skills/seaavey-smcp  
JSON: https://api.skillsregistry.net/v1/skills/seaavey-smcp

## Description

High-performance Model Context Protocol (MCP) server suite built in Rust for AI agents

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/seaavey/smcp)

## 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": "seaavey-smcp"
    }
  }
}
```

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