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Provides a unified environment for running and managing Model Context Protocol (MCP) servers that enable AI agents to interact with the Story Protocol ecosystem.
Connects Prometheus metrics and data to Claude via the Model Context Protocol (MCP).
Retrieves parsed search engine results from SerpApi for integration with MCP clients.
Generates images from text prompts using the Together AI platform through a Model Context Protocol (MCP) server.
Enables Claude Desktop to generate images using Google's Gemini AI models.
Demonstrates connecting to Model Context Protocol (MCP) servers over HTTP using Server-Sent Events (SSE).
Provides a standardized interface for Large Language Models (LLMs) to interact with the Atla API for LLM evaluation.
Empowers LLMs with location-based services and geospatial data via the Model Context Protocol.
Enables AI agents to access and leverage metadata from the Alation Data Catalog.
Enables Large Language Models to search through documentation generated by MkDocs.
Exposes Dokploy functionalities as tools consumable via the Model Context Protocol (MCP).
Connect LangChain.js-compatible LLMs with MCP servers for building AI agents with dynamic tool access and multi-server support.
Provides a standardized interface to access aging and longevity research data for AI systems through the Model Context Protocol (MCP).
Exposes the AviationStack API, enabling real-time interaction with live flight data through a Model Context Protocol (MCP) server.
Provides Kyverno policy management capabilities through a standardized interface for Kubernetes clusters.
Integrates Autodesk ACC APIs to provide a local Multimodal Capability Protocol server for AI agent interaction.
Provides a simplified local interface to the Smartlead API for AI assistants and automation tools.
Enables AI agents to access Israel's comprehensive pharmaceutical database from the Ministry of Health, providing evidence-based medication guidance and therapeutic recommendations.
Provides a foundational template for building Model Context Protocol (MCP) servers using Nuxt and Nitro.
Exposes relational databases to AI agents, enabling natural language queries and structured result retrieval.
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