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Provides a reproducible lab environment for experimenting with the Model Context Protocol (MCP) against Alfresco Community Edition using Docker.
Provides a comprehensive Model Context Protocol (MCP) server for interacting with Elasticsearch 7, 8, and 9 clusters.
Combines Qdrant vector search, Neo4j knowledge graphs, and Crawl4AI web intelligence into a cohesive platform for agentic RAG and AI assistant interactions.
Connects AI models to Linear for issue tracking and project management via the Model Context Protocol.
Aggregates search results from various providers for personal and AI-driven queries.
Provides a TypeScript starter for building Model Context Protocol (MCP) servers with resources, prompts, and tools.
Enables interaction with the X platform through an MCP client.
Integrates with GitLab to provide RESTful API tools for managing users, projects, merge requests, and more.
Analyzes GitHub pull requests and manages issues as part of an automated workflow.
Provides 9 specialized tools for LLM-driven portfolio optimization using natural language, covering strategies from mean-variance to machine learning approaches.
Enables real-time, human-to-human communication using the Model Context Protocol (MCP) by repurposing its tool-calling mechanism.
Provides deep reasoning capabilities to Model Context Protocol (MCP) clients using the deepseek-r1 model.
Enables Cursor Agents to interact with the WorkOS API through a lightweight MCP server.
Facilitates code review by fetching and applying custom coding guidelines, validation rules, and security standards.
Generates synthetic human face images with configurable shapes and sizes.
Provides AI models with real-time access to technical documentation, library popularity data, and career insights to inform software development decisions.
Provides Pokemon information retrieval, comparison, type matchup analysis, and team composition suggestions.
Provides image manipulation functionalities through an MCP server, leveraging the Sharp library.
Processes large documents in multiple formats using intelligent chunking and advanced retrieval-augmented generation (RAG) capabilities.
Orchestrates multi-tool AI agents for real-time supply chain optimization, simulating Anthropic's low-latency FastMCP system with Gemini AI.
Transforms Allure test reports into LLM-friendly JSON formats for AI-assisted analysis.
Automates the deployment and management of Coolify infrastructure through natural language conversations with AI assistants.
Streamlines connecting AI agents to Solana-based protocols for various blockchain operations.
Retrieves MCP servers using semantic search capabilities.
Monitors the operational status of major digital platforms within Claude Desktop using the Model Context Protocol.
Provides a secure, local environment for AI agents to develop, compile, and run GPU shaders using Vulkan.
Enables LLM applications through a YAML-based configuration system for defining resources, prompts, and tools.
Serves as a foundational example demonstrating how to build Model Context Protocol (MCP) servers with TypeScript, offering basic resources and tools.
Integrates a Model Context Protocol (MCP) server for GitLab within the Zed editor.
Provides a Model Context Protocol (MCP) server implementation for sending emails using the Resend email service.
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