# How to connect Gemini MCP with VS Code ```json { "title": "How to connect Gemini MCP with VS Code", "toolkit": "Gemini", "toolkit_slug": "gemini", "framework": "VS Code", "framework_slug": "vscode", "url": "https://composio.dev/toolkits/gemini/framework/vscode", "markdown_url": "https://composio.dev/toolkits/gemini/framework/vscode.md", "updated_at": "2026-05-06T08:12:54.543Z" } ``` ## Introduction ### How to connect Gemini MCP with VS Code VS Code is the most popular code editor out there. With its recent AI makeover, it can do more than just help you write code. You can connect your applications to it and let LLMs automate many of the mundane tasks in your workflow. In this guide, I will explain how to connect Gemini with VS Code in the most secure and robust way possible via Composio. ## Also integrate Gemini with - [ChatGPT](https://composio.dev/toolkits/gemini/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/gemini/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/gemini/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/gemini/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/gemini/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/gemini/framework/codex) - [Cursor](https://composio.dev/toolkits/gemini/framework/cursor) - [OpenCode](https://composio.dev/toolkits/gemini/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/gemini/framework/openclaw) - [Hermes](https://composio.dev/toolkits/gemini/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/gemini/framework/cli) - [Google ADK](https://composio.dev/toolkits/gemini/framework/google-adk) - [LangChain](https://composio.dev/toolkits/gemini/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/gemini/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/gemini/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/gemini/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/gemini/framework/crew-ai) ## TL;DR ### Why use Composio? Composio provides: - Access to 1,000+ managed apps from a single MCP endpoint. This makes it convenient for agents to run cross-app workflows. - Programmatic tool calling. Allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling. - Large tool response handling outside the LLM context. This minimizes context bloat from large tool responses. - Dynamic just-in-time access to thousands of tools across hundreds of apps. Composio loads the tools your agent needs, so LLMs are not overwhelmed by tools they do not need. ## Connect Gemini to VS Code ### Integrate Gemini MCP with VS Code ### 1. Install with one click Click the button below to add Composio to VS Code. You will be prompted to authorize. This requires VS Code 1.99+ with GitHub Copilot. [+Install in VS Code](vscode:mcp/install?%7B%22name%22%3A%22composio%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fconnect.composio.dev%2Fmcp%22%7D) ### 2. Or add manually Open or create .vscode/mcp.json in your project root and add the following configuration: ```bash { "servers": { "composio": { "type": "http", "url": "https://connect.composio.dev/mcp" } } } ``` ## What is the Gemini MCP server, and what's possible with it? The Gemini MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gemini account. It provides structured and secure access to Gemini's multimodal AI features, so your agent can generate text, images, and videos, analyze content, and manage model resources on your behalf. - Text and content generation: Instruct your agent to create high-quality, customized text using Gemini's advanced generative models—great for brainstorming, drafting, or summarizing information. - Creative image and video generation: Ask the agent to generate original images or high-quality videos from text prompts using Gemini 2.5 Flash and Veo models, with fine control over style and format. - Embedding and semantic analysis: Let your agent transform any text into rich semantic embeddings for similarity search, clustering, or classification tasks. - Model discovery and optimization: Have the agent list available Gemini and Veo models, check their capabilities, and select the best fit for your project or workflow. - Efficient resource management: Enable the agent to track video generation operations, download final assets, and optimize prompt inputs by counting tokens—all without manual intervention. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `GEMINI_COUNT_TOKENS` | Count Tokens (Gemini) | Counts the number of tokens in text using gemini tokenization. useful for estimating costs, checking input limits, and optimizing prompts before making api calls. | | `GEMINI_DOWNLOAD_VIDEO` | Download Video (Veo) | Downloads a generated veo video to local storage. takes the video uri from a completed operation and saves it to the specified file path. | | `GEMINI_EMBED_CONTENT` | Embed Content (Gemini) | Generates text embeddings using gemini embedding models. converts text into numerical vectors for semantic search, similarity comparison, clustering, and classification tasks. | | `GEMINI_GENERATE_CONTENT` | Generate Content (Gemini) | Generates text content from prompts using gemini models. supports various models like gemini flash and pro with configurable temperature, token limits, and safety settings for diverse text generation tasks. | | `GEMINI_GENERATE_IMAGE` | Generate Image (Gemini 2.5 Flash) | Generates images from text prompts using gemini 2.5 flash image preview model. supports creative image generation with customizable parameters like aspect ratio, safety settings, and optional file saving. | | `GEMINI_GENERATE_VIDEOS` | Generate Videos (Veo) | Generates videos from text prompts using google's veo models. creates high-quality video content with customizable aspect ratios, duration, and style controls. returns operation id for tracking progress. | | `GEMINI_GET_VIDEOS_OPERATION` | Get Videos Operation (Veo) | Checks the status of a veo video generation operation. use the operation name from generatevideos to track progress and get the download url when complete. | | `GEMINI_LIST_MODELS` | List Models (Gemini API) | Lists available gemini and veo models with their capabilities and limits. useful for discovering supported models and their features before making generation requests. | | `GEMINI_WAIT_FOR_VIDEO` | Wait For Video (Veo) | Polls a veo video generation operation until completion or timeout. automatically checks status at intervals and returns the final video url when ready. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK Once connected, VS Code can access the Gemini MCP server via Composio to run the app actions you authorize, directly from your coding workflow. ## Complete Code None listed. ## Conclusion ### Way Forward Now that Gemini is connected, extend your setup by connecting the other apps you already use every day, so your agent can run true cross-app workflows end to end. - Connect Calendar to turn threads into scheduled meetings automatically. - Connect Slack or Teams to post summaries, approvals, and alerts where your team works. - Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs. - Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps. - Connect HubSpot or Salesforce to log customer context, update records, and draft follow-ups. Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single MCP endpoint, your agent can coordinate multiple tools safely and reliably in one conversation. ## How to build Gemini MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/gemini/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/gemini/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/gemini/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/gemini/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/gemini/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/gemini/framework/codex) - [Cursor](https://composio.dev/toolkits/gemini/framework/cursor) - [OpenCode](https://composio.dev/toolkits/gemini/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/gemini/framework/openclaw) - [Hermes](https://composio.dev/toolkits/gemini/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/gemini/framework/cli) - [Google ADK](https://composio.dev/toolkits/gemini/framework/google-adk) - [LangChain](https://composio.dev/toolkits/gemini/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/gemini/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/gemini/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/gemini/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/gemini/framework/crew-ai) ## Related Toolkits - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service. - [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows. - [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow. - [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows. - [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application. - [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities. - [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization. - [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications. - [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations. - [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key. - [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient. - [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions. - [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences. - [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement. - [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team. - [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs. - [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code. - [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets. - [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Gemini MCP? With a standalone Gemini MCP server, the agents and LLMs can only access a fixed set of Gemini tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Gemini and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with VS Code? Yes, you can. VS Code fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Gemini tools. ### Can I manage the permissions and scopes for Gemini while using Tool Router? Yes, absolutely. You can configure which Gemini scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Gemini data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)