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Enables AI systems to interact with data sources and tools through the Model Context Protocol (MCP), providing fast, reliable RAG powered by Vectara.
Enhances AI tool capabilities by leveraging Gemini's large context window for context management and caching.
Enables unified metadata access and cross-engine data querying for large language models across diverse database ecosystems.
Integrates Neovim instances with AI assistants via a Model Context Protocol (MCP) server, enabling interactive control and access to diagnostic information.
Provides a suite of tools for automated frontend testing, including code analysis, test generation, and test execution.
Manages a distributed, graph-based memory bank for AI agents and IDEs, offering contextualized data storage and retrieval via the MCP protocol.
Crawl documentation websites, extract code snippets, and provide fast, searchable access to technical content.
Automate kit workflows with a lightweight, high-performance, and flexible engine for cloud or self-hosted environments.
Integrates Notion into AI workflows through a Model Context Protocol (MCP) server, allowing AI agents to interact with Notion pages and databases.
Provides real-time data and insights from the Hyperliquid perp DEX for use in bots, dashboards, and analytics.
Generates images from text prompts using Google's Gemini Flash models through the MCP protocol.
Bridges Cocos Creator and Cursor AI for synchronized log information, aiding in efficient problem analysis and resolution.
Connects AI language models with Microsoft OneNote for enhanced interaction.
Renders Mermaid diagrams directly within Claude Code, facilitating visual understanding of complex structures and flows.
Proxies the Perplexica AI-powered search engine for access by LLMs via the Model Context Protocol (MCP).
Enables Large Language Models (LLMs) to interact directly with Couchbase clusters for data access and manipulation.
Injects auto-approve functionality into the Claude Desktop application.
Automates multi-step web research using Google Gemini models and Google Search to synthesize information and produce citation-rich answers.
Offers systematic thinking, mental models, and debugging approaches for enhanced problem-solving capabilities via a Model Context Protocol server.
Enables interaction with Descope's Management APIs for searching and retrieving project information.
Facilitates interaction with Redis, AWS Memory DB, and similar key-value stores for caching and data management.
Provides an SSE-based Model Context Protocol server for querying the Open Source Vulnerabilities (OSV) database.
Demonstrates how to build Model Context Protocol (MCP) servers with Google's Gemini 2.0 model.
Integrates with SearXNG to provide privacy-focused meta search capabilities.
Enables remote binary analysis and management using IDA Pro's headless mode via the Multi-Client Protocol (MCP).
Integrates the Capacities knowledge management system with AI models via the Model Context Protocol for seamless interaction.
Enables interaction with Jira instances, providing tools for querying, creating, editing, and deleting Jira tickets.
Accelerates Model Context Protocol (MCP) server development with an out-of-the-box, production-grade scaffold.
Scaffold and generate go-zero projects, including APIs, RPC services, and database models, with AI assistance.
Enables programmatic interaction with Trilium Notes through the Model Context Protocol.
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