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Enables large language models to access Meilisearch's search capabilities via the Model Context Protocol.
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Enables AI models to access and interact with real-time IoT data from the Acceleronix platform, enhancing AI applications with contextual device information.
Empowers developers with a comprehensive, AI-driven toolkit accessible directly in their browser via a Chrome extension and robust local server.
Provides an MCP server to enable AI systems to perform various types of searches using the DuckDuckGo search engine.
Enables AI assistants to search, analyze, and provide intelligent booking recommendations for flights across multiple online sources.
Integrates AI assistants with RGB Lightning Node APIs through a Model Context Protocol (MCP) server.
Extends Neo4j with advanced search capabilities, including vector, fulltext, and search-augmented Cypher queries, specifically designed for GraphRAG applications.
Enables AI assistants to semantically search for quotes, verify attributions, and provide transparent source citations.
Automates financial service tasks by combining human workers and AI into seamless, guided workflows.
Enable AI-driven network security scanning with a production-ready Nmap server, supporting diverse tools, scan types, and timing templates.
Provides programmatic control over iOS applications, allowing AI agents and human users to inspect UI, tap, swipe, type, and navigate.
Bridges visual UI feedback and AI-assisted code changes by allowing developers to annotate UI issues on localhost sites and send them directly to Claude Code.
Empower developers with an AI-powered coding assistant for debugging, code generation, and Git command execution.
Integrates local codebases and documentation into a knowledge base server for Model Context Protocol (MCP) clients.
Analyzes live news media to provide sentiment scores, volume trends, and historical coverage data for AI agents.
Orchestrates image generation across multiple providers like OpenAI and Stable Diffusion, serving results to various MCP clients.
Bridges LynxPrompt instances to an MCP server, empowering AI agents to manage configuration blueprints.
Provides an SQL layer for querying REST API endpoints, enabling declarative data retrieval.
Provides persistent, zero-LLM, local-first memory with proactive recall for AI coding agents.
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