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Provides an API to query information about registered applications using the Model Context Protocol (MCP).
Exposes MCP tools via NATS microservices, functioning either standalone or as a Go library.
A curated list of Model Context Protocol (MCP) servers, frameworks, utilities, and clients, facilitating AI models' interaction with local and remote resources.
Synthesizes speech from text using the VOICEVOX engine.
Facilitates Meta-agent Communication Protocol (MCP) interaction via Server-Sent Events (SSE) for n8n workflows.
Provides an example REST API application built with FastAPI, demonstrating integration with the Model Context Protocol (MCP).
Integrates Obsidian notes and Google Calendar to create a robust knowledge management system, specifically designed to interoperate with Cursor AI IDE via the Model Context Protocol.
Provides Large Language Models (LLMs) with real-time context on Massachusetts beaches and current conditions.
Provides basic arithmetic operations (addition and subtraction) as an accessible web service.
Transforms unstructured documents into a searchable knowledge base, enabling AI-powered question answering.
Integrates the Shortcut project management platform with AI-powered development environments and assistants via the Model Context Protocol (MCP).
Enables natural-language interactions with GitHub repositories by bridging GitHub data with chat-based AI completion.
Accesses and retrieves website traffic analytics from the Clicky API.
Provides real-time access to the Bluesky Jetstream firehose for MCP clients.
Converts PDF files to Markdown format with optional image extraction, designed for isolated execution within Model Context Protocol servers.
Counts the occurrences of a specific character within a given text.
Demonstrates a Model Context Protocol (MCP) server featuring example tools, resources, and prompts for Large Language Model (LLM) integration.
Provides a robust boilerplate for rapidly developing Model Context Protocol (MCP) servers using the TypeScript SDK.
Exposes a user's GitHub starred repositories as structured resources for large language model (LLM) applications.
Access and report on Reddit Ads API data including campaigns, ad groups, ads, and performance metrics.
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