Enables AI assistants to perform real-time internet searches and get AI-powered analysis of current information through the gemini-cli tool.
Enables comprehensive codebase analysis using Google's Gemini CLI and its massive context window. Supports file/directory analysis, security audits, architecture analysis, feature verification, and complete project overviews for large codebases that exceed other AI models' context limits.
Integrates Google Gemini API capabilities into Claude Code, supporting text generation, image analysis, and AI image creation. It features specialized tools for creative brainstorming and managing multi-turn chat sessions.
A chatbot powered by Gemini Flash 1.5 utilising Model Context Protocol for doing Multipurpose communication
Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.
An MCP server that enables a Gemini-based chatbot to fetch and summarize current news headlines from GNews API when users ask about trending topics.
Provides OCR services powered by Google's Gemini API to extract text from images via file paths or base64 strings. It enables high-accuracy text recognition and CAPTCHA processing through simple MCP tools.
Enables Claude Desktop to generate text and analyze images using Google's Gemini Pro API. Provides seamless integration between Claude and Gemini's AI capabilities through natural language commands.
A research proxy that lets Claude, Cursor, and other MCP clients utilize Gemini's generous free tier for deep codebase analysis without burning your main model's quota!
Utilizes Gemini API and Google Search to generate answers based on the latest information for user queries.
Enables web content extraction and Google Search through Google AI Studio's URL context functionality. Supports batch processing of multiple URLs and returns structured JSON output for web page text and image analysis.
Enables web search capabilities by integrating with the local gemini-cli tool. Provides access to Gemini's Web Search Tool functionality through the Model Context Protocol.
Enables users to search, track, and analyze procurement data from India's Government e-Marketplace (GeM) for live and stored bid listings. It provides specialized tools for monitoring drone-related procurement opportunities and generating detailed bid analysis reports.
Write-side MCP server for Figma — build, edit, and search Figma designs from Claude Code, Cursor, Cline, or any MCP client. Complements Figma's official read-only MCP with 41 tools for tree creation, variables, components, and visual verification.
Manage logistics operations by comparing shipping prices and creating shipments across multiple agencies. Track package status in real-time, download labels, and handle cancellations through a unified interface. Streamline fulfillment workflows by accessing saved addresses and monitoring bulk delivery tracking updates.
Dynamically exposes Python SDKs (Kubernetes, GitHub, Azure) through an agent-friendly gRPC interface. Enables interaction with cloud services and platforms using natural language by automatically converting SDK functionality into callable functions.
Provides LLMs with full PostgreSQL database access, including tools for query execution, schema management, and data export. It also features a dedicated insights system for storing business memos and supports both local stdio and remote HTTP transport.
MCP ECharts is a dynamic chart generation and data analysis tool based on Apache ECharts, supporting multiple export formats and MinIO object storage integration.
Enables AI-powered academic research workflow from keyword search to hypothesis generation. Integrates multiple AI models to automatically search ArXiv papers, extract key information, and generate innovative research hypotheses for researchers.
Mercury Spec Ops MCP Server is a dynamic prompt generation and template assembly tool based on a modular architecture. It is suitable for the interaction between AI assistants and professional content, and supports the dynamic generation of 31 technology stacks, 10 analysis dimensions and 34 templat
