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Serves real-time weather information to AI applications through a standardized Model Context Protocol (MCP) interface.
Automates interactions with the MS Paint application for large language models, enabling them to control and input text into the app via agentic workflows.
Searches and analyzes academic papers from OpenAlex using an AI-powered assistant.
Exposes Interactive Brokers Trader Workstation API functionalities as Model Context Protocol tools for seamless LLM client integration.
Extracts figures, tables, captions, and section titles from scholarly PDFs with high accuracy.
Connects large language models to any public API on the Zyla API Hub.
Provides a minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers.
Enables querying live HubSpot data from applications like Claude Desktop using CData JDBC Drivers through a read-only Model Context Protocol (MCP) interface.
Provides a standardized Model Context Protocol interface for Large Language Models to interact with Tracxn financial data.
Provides remote network access to HexStrike AI's extensive suite of 150+ security tools for AI agents without requiring local client files.
Provides a self-hosted full-stack system for AI agents to manage research content stored as Markdown articles via web UI, REST API, or MCP server.
Connects Google Analytics data to Claude Desktop using CData JDBC Drivers.
Solves mathematical problems using a client-server architecture.
Enables natural language interaction with a Neo4j graph database through Claude Desktop.
Enables querying Cosmos DB data from Claude Desktop using CData JDBC drivers.
Facilitates semantic code search, relationship tracking, and real-time monitoring across codebases using AST-aware chunking and incremental indexing.
Integrates Zep's thread-based memory system with Claude Code for robust memory storage and retrieval.
Enables natural language interaction with databases by transforming plain English questions into SQL queries.
Connects data warehouses to AI assistants and agents, enhancing LLM understanding of data structure and business context.
Exposes rich semantic information from codebases to LLM code agents by integrating the Model Context Protocol (MCP) with the Language Server Protocol (LSP).
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