Access help and usage information for the Gemini MCP server, including tools, models, parameters, and examples.
MIT
114,463 tools. Last updated 2026-04-21 13:04
- Access usage information and documentation for the Gemini MCP server, including tools, models, parameters, and examples.MIT
- Create detailed implementation plans for Claude Code to execute tasks, using Gemini AI to structure development workflows and provide technical guidance.MIT
- Remove a Claude Code configuration item like memory, skill, or MCP server entry. Use scan_inventory first to identify items and their scope IDs for deletion.MIT
- Import past AI conversations from ChatGPT, Claude, or Gemini exports to extract decisions, preferences, and facts. Recover knowledge from previous AI interactions by providing JSON data and specifying the source.AGPL 3.0
- Transfer complex code analysis tasks to Gemini when Claude Code encounters reasoning limits, enabling advanced semantic analysis beyond syntactic patterns for deeper insights.MIT
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- AsecurityFlicenseCqualityEnables Claude Code to call Gemini models through an OpenAI-compatible API, providing tools for deep analysis, brainstorming, code review, and general queries using Gemini's capabilities.Last updated4
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- Monitor health status, version details, and configuration of the Claude Code MCP server for real-time insights and system maintenance.MIT
- Move Claude Code configuration items like memories, skills, or MCP servers between different scopes to reorganize your workspace. Use scan_inventory first to identify available items and scope IDs.MIT
- Remove configuration for a specific MCP server from AI client applications like Cursor, Claude Desktop, or Windsurf to manage tool access and clean up unused server entries.AGPL 3.0
- Monitor brand visibility across AI platforms like ChatGPT, Claude, Gemini, and Perplexity. Track visibility scores, analyze competitor data, and receive insights to improve AI-generated brand recommendations.MIT
- Get code review feedback for all files in a directory from Codex and Gemini CLIs to improve code quality, security, and best practices.
- Synthesize consensus from multiple AI perspectives (Claude, GPT, Gemini) to support important decisions by comparing their responses.
- Package skill directories into platform-specific formats (ZIP for Claude/OpenAI/Markdown, tar.gz for Gemini) and automatically upload them when API keys are configured.MIT
- Analyze code files with Codex and Gemini reviewers to get feedback on quality, security, and best practices for Claude's consideration.
- Import multiple MCP server configurations simultaneously from Claude Desktop JSON format to set up servers across MetaMCP instances.
- Chat with Gemini AI for conversations, questions, and general assistance with learned user preferences. Use this tool to ask questions or get help through Claude Desktop.MIT
- Initiate a conversational analysis session between Claude and Gemini to debug code, explore findings, and resolve stuck points using complementary AI insights for comprehensive problem-solving.MIT
- Learn to use the FAF MCP tool for Claude Desktop with guidance on projects convention, path resolution, and UX patterns.MIT
- Count tokens for AI models like GPT-4, Claude, and Gemini before sending requests to manage usage and costs effectively.MIT
- Estimate token costs and compare pricing across 30+ AI models including GPT-4, Claude, Gemini, and Haiku to optimize your AI project budget.MIT
- Send prompts to Claude-compatible AI models through a local MCP server. Get text responses for queries using a standardized tool interface.MIT
- Consult Google's Gemini AI for development assistance when Claude needs help, additional context, or is stuck on a problem.MIT
- Track brand visibility trends across ChatGPT, Claude and Gemini over time. Retrieve up to 200 historical data points to analyze LLM perception changes by specific provider or aggregate view for time-series analysis.MIT
- Execute AI-driven tasks using Gemini via Agent Client Protocol with multi-modal support, session management, and tool execution capabilities.MIT
- Verify server health by implementing the MCP ping/pong protocol. Ensures MCP Kafka Schema Reg and clients stay connected and responsive.PythonMIT
- Discover configured MCP servers on the Letta server to identify available tools and resources for system management.MIT
- Retrieve server version and capabilities to verify the SRC MCP server is running correctly and understand its available functions.MIT
- Send prompts to OpenAI for AI consultation via Claude Code MCP server. Get second opinions with fast startup and clear error handling.MIT
- Authenticate with Claude by opening a browser window when usage data retrieval fails due to authentication issues.
- Check the EduBase MCP Server version to diagnose connectivity issues, verify compatibility, and troubleshoot technical problems during debugging.MIT
- Scan workspace directories to identify programming languages and locate corresponding Language Server Protocol binaries, generating ready-to-use configuration for the agent-lsp MCP server.MIT
- Debate topics using multiple AI models (Claude, GPT, Gemini, Grok) to synthesize verdicts with diverse perspectives for code review, technical decisions, and problem solving.Apache 2.0
- Restarts the Claude Desktop application specifically when the MCP Autostarter fails, ensuring uninterrupted workflow and plugin reloading without closing the app.
- Scan MCP configuration files for malicious hooks, shell injection vulnerabilities, and suspicious servers to secure AI integrations in Claude, Cursor, and VS Code.Apache 2.0
- Restart the MCP server to load fresh code after building, enabling automatic reconnection with updated builds.MIT
- Discover available resources from an MCP server by specifying target and transport type. Use to inspect data and content exposed by target servers for debugging and integration purposes.MIT
- Generate optimized metadata files to boost MCP server agent discoverability by scanning servers and creating ready-to-use JSON files for improved AEO scores.MIT
- Test connectivity to the Ramp Developer MCP Server to verify network communication and server availability for accessing Ramp's API documentation and schemas.
- Get AI chat completions with smart model routing that automatically selects Claude, GPT, Gemini, or Llama based on task complexity. Pay per call with USDC credits without managing API keys.
- Provides context-specific usage tips and best practices for AI assistants in development workflows, including when to trigger achievements, use voice packs, and integrate gamification patterns.
- Restart Claude Desktop's MCP handler process for plugin reloading without closing the application, ensuring uninterrupted UI functionality.
- Retrieve structured documentation for the DevLens MCP server, including tool usage guides, workflow examples, and best practices to integrate web context into development environments.
- Discover available Databricks MCP tools after authentication to access and interact with Databricks-hosted applications through Claude.
- Debug the Claude FAF MCP environment by showing working directory, permissions, and FAF CLI status to identify and resolve configuration issues.MIT
- Verify connectivity to the Minestom MCP server by sending a test request and receiving an optional echo response.Apache 2.0
- Discover available prompt templates from a target MCP server by specifying its location and transport type. Use this to explore what prompts a server provides for integration or testing purposes.MIT
- Check server health status, view version details, and monitor current configuration to ensure optimal performance of the distributed AI coding network.MIT
- Install or update Unity MCP bridge scripts to enable Claude to interact with Unity projects, even when Unity server is not running.MIT
- Verify server status and Gemini CLI configuration to troubleshoot connection issues or confirm setup. Optionally include detailed diagnostics.Mozilla Public 2.0