# mcpkit

> mcpkit — adam-eques-mcpkit. Use this tool when you need to deploy a lightweight Model Context Protocol server with built-in tools and security features, such as SSRF guard and sandboxed filesystem, to manage model contexts and facilitate communication between models and clients. It accepts input through stdio and HTTP transports and provides output in a standardized format. Use mcpkit in contexts where a zero-dependency, secure, and scalable MCP server is required, such as in machine learning or model serving applications.

Canonical page: https://skillsregistry.net/skills/adam-eques-mcpkit  
JSON: https://api.skillsregistry.net/v1/skills/adam-eques-mcpkit

## Description

Zero-dependency Model Context Protocol (MCP) server in pure Go — stdio + HTTP transports, built-in tools (RAG, fetch, filesystem, shell, KV), SSRF guard, sandboxed filesystem, allowlisted shell. Paired with mcpc.

## Trust

- **Trust score (0–1):** 0.83
- **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/adam-eques/mcpkit)

## 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": "adam-eques-mcpkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adam-eques-mcpkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adam-eques-mcpkit/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