# Genkit MCP

> Use this tool when you need to integrate Genkit with the Model Context Protocol (MCP) to enable seamless model management and context sharing. It solves problems of incompatible model formats and lack of context awareness between Genkit and MCP-enabled systems. The Genkit MCP integration tool takes Genkit models as input and outputs MCP-compatible models, facilitating smooth collaboration and data exchange in model-driven development contexts.

Canonical page: https://skillsregistry.net/skills/firebase-genkit  
JSON: https://api.skillsregistry.net/v1/skills/firebase-genkit

## Description

Provides integration between Genkit and the Model Context Protocol (MCP).

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-06-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m6x141u6rd)
- **Repository:** <https://github.com/genkit-ai/genkit>

## 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": "firebase-genkit"
    }
  }
}
```

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

---
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