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Provides access to Vilnius public transport data for Large Language Models (LLMs) via the Model Context Protocol (MCP).
Provides tools for interacting with Linear issue tracking via an MCP client.
Enables communication with multiple unichat-based Model Context Protocol (MCP) servers simultaneously, aggregating their responses.
Provides Yr weather data as context for Large Language Model (LLM) tools.
Converts natural language requests into valid kubectl commands for Kubernetes.
Enables querying live MySQL data from Large Language Models through a Model Context Protocol (MCP) interface.
Enables querying live SAP BusinessObjects BI data from AI clients like Claude Desktop through CData JDBC Drivers.
Demonstrates building a stateful Model Context Protocol server with Streamable HTTP, featuring persistent sessions, full connection resumability, and an in-memory event store.
Provides a Model Context Protocol (MCP) server for integrating macOS Calendar events with large language models.
Provides structured access to the ConceptNet knowledge graph, delivering semantic knowledge for Large Language Models and AI applications.
Empowers AI assistants to generate images using the Black Forest Labs API and FLUX models.
Manages the full lifecycle of short URLs, including creation, statistics, and domain management, leveraging the Model Context Protocol for AI assistants.
Manages grocery lists and items on OurGroceries.com through a programmatic interface.
Connects large language models with medical and hospital management databases, enabling AI assistants to explore database schemas and execute SQL queries for real-time data retrieval.
Dynamically imports API specifications (OpenAPI, GraphQL, AsyncAPI), exposes them as tools for agents, and enhances functionality through self-learning and autonomous documentation.
Combines a sophisticated bi-temporal knowledge graph with dynamic automation tool generation to empower AI agents with persistent, time-aware memory.
Integrates IBM Z mainframe capabilities, including Key Protect HSM and z/OS Connect, with AI platforms through the Model Context Protocol.
Enables AI tools to programmatically interact with Factor Protocol vaults on EVM chains for comprehensive DeFi strategy management.
Intercepts Model Context Protocol (MCP) tool calls, enforces access policies with approval workflows, records audit trails, and can proxy requests to downstream MCP servers.
Expose the Sevalla PaaS API to AI agents through a streamlined two-tool Model Context Protocol (MCP) server.
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