# Smithery

> Use this tool when you need to integrate language models with external data and tools, enabling seamless access to files, APIs, and custom operations to enhance AI capabilities. It solves problems of fragmented data sources and limited AI functionality by providing a standardized protocol and unified interface. Ideal for developing intelligent applications that require dynamic context and action integration, such as those leveraging git repositories.

Canonical page: https://skillsregistry.net/skills/kmnis-smithery  
JSON: https://api.skillsregistry.net/v1/skills/kmnis-smithery

## Description

Enable dynamic integration of language models with external data and tools through a standardized protocol. Facilitate seamless access to files, APIs, and custom operations to enhance AI capabilities. Simplify the development of intelligent applications by providing a unified interface for context and action.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** file-system
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/kmnis/smithery)

## 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": "kmnis-smithery"
    }
  }
}
```

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