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MCP server · Developer Tools

mcp

A Genkit plugin that provides interoperability between Genkit and Model Context Protocol (MCP). Both client and server use cases are supported.

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Scored 4 months ago · breakdown

About mcp

mcp is an MCP server published by git+firebase in the Developer Tools category: a Genkit plugin that provides interoperability between Genkit and Model Context Protocol (MCP). Both client and server use cases are supported. It has been installed 0 times through Conduid.

Install

Install
npx @genkit-ai/mcp
Claude Code
claude mcp add genkit -- npx -y @genkit-ai/mcp
npx
npx -y @genkit-ai/mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Genkit logo Genkit logo

Genkit is an open-source framework for building full-stack AI-powered applications, built and used in production by Google's Firebase. It provides SDKs for multiple programming languages with varying levels of stability:

  • JavaScript/TypeScript: Production-ready with full feature support
  • Go: Production-ready with full feature support
  • Python (Alpha): Early development with core functionality

It offers a unified interface for integrating AI models from providers like Google, OpenAI, Anthropic, Ollama, and more. Rapidly build and deploy production-ready chatbots, automations, and recommendation systems using streamlined APIs for multimodal content, structured outputs, tool calling, and agentic workflows.

Get started with just a few lines of code:

import { genkit } from 'genkit';
import { googleAI } from '@genkit-ai/google-genai';

const ai = genkit({ plugins: [googleAI()] });

const { text } = await ai.generate({
    model: googleAI.model('gemini-2.5-flash'),
    prompt: 'Why is Firebase awesome?'
});

Explore & build with Genkit

Play with AI sample apps, with visualizations of the Genkit code that powers them, at no cost to you.

Explore Genkit by Example

Key capabilities

How does it work?

Genkit simplifies AI integration with an open-source SDK and unified APIs that work across various model providers and programming languages. It abstracts away complexity so you can focus on delivering great user experiences.

Some key features offered by Genkit include:

Genkit is designed for server-side deployment in multiple language environments, and also provides seamless client-side integration through dedicated helpers and client SDKs.

Implementation path

Get started

Development tools

Genkit provides a CLI and a local UI to streamline your AI development workflow.

CLI

The Genkit CLI includes commands for running and evaluating your Genkit functions (flows) and collecting telemetry and logs.

  • Install: npm install -g genkit-cli
  • Run a command, wrapped with telemetry, a interactive developer UI, etc: genkit start -- <command to run your code>

Developer UI

The Genkit developer UI is a local interface for testing, debugging, and iterating on your AI application.

Key features:

  • Run: Execute and experiment with Genkit flows, prompts, queries, and more in dedicated playgrounds.
  • Inspect: Analyze detailed traces of past executions, including step-by-step breakdowns of complex flows.
  • Evaluate: Review the results of evaluations run against your flows, including performance metrics and links to relevant traces.

Connect with us

Ask DeepWiki

Contributing

Contributions to Genkit are welcome and highly appreciated! See our Contribution Guide to get started.

Authors

Genkit is built by Google with contributions from the Open Source Community.

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About mcp

How do I install mcp?

Run npx @genkit-ai/mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is mcp safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is mcp still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.