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Simplifies building Model Context Protocol (MCP) servers in TypeScript with automated tool, resource, and prompt discovery.
Enables interaction with the Xano API through a Model Context Protocol (MCP) server.
Enables Voxta to communicate with Model Context Protocol (MCP) servers, extending its capabilities through external tools.
Manages and summarizes notes using a custom URI scheme, providing a single prompt for note summarization and a tool for adding new notes.
Demonstrates a server for fetching aviation weather data using the Model Context Protocol.
Enables interaction with Azure AI Search indices, indexers, and data sources via an experimental MCP service.
Provides a foundational Model Context Protocol (MCP) server implementation in TypeScript.
Empowers AI assistants to perform web automation tasks by controlling a browser through a set of tools.
Enables AI assistants to interact with your Lunch Money account for managing personal finances.
Provides an auto-generated Model Context Protocol (MCP) server for the Zoom API.
Provides a Typescript sample implementation for an MCP server, demonstrating tool creation and AI completion request handling.
Validates and renders Mermaid diagrams for use with LLMs, incorporating an essential fix for WSL stdin.
Facilitates natural language interaction with Prometheus Alertmanager for alert and silence management via a Model Context Protocol server.
Integrates Crawl4AI's powerful web scraping and browsing capabilities with Claude Code through a reliable stdio-based Model Context Protocol server.
Aggregates multiple external Model Context Protocol (MCP) servers into a unified interface with progressive tool discovery.
Create complex playlists from your music collection by simply describing what you want to hear using natural language interactions.
Enables Claude AI to manage Todoist tasks and projects programmatically through the Model Context Protocol.
Generates LaTeX resumes from project, skill, education, and personal information using an MCP server.
Integrate Slack messaging functionalities, including posting, reading history, and replying to threads, into AI editors and terminals via Model Context Protocol.
Provides a persistent semantic memory server for AI agent teams to store, search, and retrieve knowledge across sessions.
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