Genkit logo

Genkit

OrganizationPopular
firebase

Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google

Publisherfirebase
Repositorygenkit
LanguageTypeScript
Forks
732
Stars
5.9K
Available tools
9
Transport typestdio
Categories
LicenseApache-2.0
Links
  • Connect tools to AI workflows

    Genkit exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 9 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    5.9K stars and 732 forks from the linked repository.

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 (Beta): Wide feature support approaching production-readiness
  • Dart (Preview): 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:

ts
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-flash-latest'),
    prompt: 'What is the meaning of life?'
});

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.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Available Tools

  • create_entities

    Create multiple new entities in the knowledge graph

  • create_relations

    Create multiple new relations between entities in the knowledge graph. Relations should be in active voice

  • add_observations

    Add new observations to existing entities in the knowledge graph

  • delete_entities

    Delete multiple entities and their associated relations from the knowledge graph

  • delete_observations

    Delete specific observations from entities in the knowledge graph

  • delete_relations

    Delete multiple relations from the knowledge graph

  • read_graph

    Read the entire knowledge graph

  • search_nodes

    Search for nodes in the knowledge graph based on a query

  • open_nodes

    Open specific nodes in the knowledge graph by their names

Use Genkit MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Genkit is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Genkit as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Genkit MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "genkit": {
      "command": "npx",
      "args": [
        "-y",
        "genkitx-mcp"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Genkit MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Genkit MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Genkit to help me with this task?
Genkit
Sure. I read it.
Here is what I found using Genkit.

Frequently asked questions

What is the Genkit MCP server used for?

Genkit is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Genkit MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Genkit with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Genkit MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Genkit connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Genkit MCP to TypingMind?

Genkit runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Genkit MCP provide in TypingMind?

Genkit exposes 9 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Genkit MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Genkit requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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