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Enables Large Language Models to interact with Kafka event streams using the Model Context Protocol.
Bridges local MCP clients, like Claude Desktop, with remote MCP Servers via standard input/output.
Orchestrates a multi-agent workflow for deep research and code generation using Gradio's Model Context Protocol (MCP) server.
Creates an executable file for a MySQL-based server application using Python.
Provides AI assistants with access to shadcn/ui component documentation, examples, and API details via the Model Context Protocol (MCP).
Manages secure tunnels to expose local servers to the internet via an AI assistant.
Enables large language models to interact directly with local Rust development environments, automating code-related tasks.
Converts PDF files to Markdown format with optional image extraction, designed for isolated execution within Model Context Protocol servers.
Integrates Discord API, executes Python code in persistent IPython sessions, and extracts URL content with readability parsing.
Demonstrates how to build an OpenAI Apps SDK-compatible server using EdgeOne Pages and Next.js edge functions.
Orchestrates an end-to-end Model Context Protocol tooling system, featuring a FastMCP server and STDIO-based client with JSON-RPC, enabling multi-step tool chaining powered by Vertex AI Gemini.
Provides a secure, read-only interface for exploring, searching, and analyzing local filesystems via the Model Context Protocol.
Enables lossless context restoration and session management for Large Language Models by persisting KV cache tensors.
Ensures AI-generated content adheres to established brand guidelines and voice.
Empower AI agents to trade over 275 perpetual futures markets, including stocks, crypto, commodities, and forex, with real execution on Hyperliquid.
Automate background tasks, manage a skill engine, schedule operations, and integrate with Claude Code.
Provides long-term, persistent memory to AI agents, enabling them to recall past conversations and knowledge across sessions.
Connects large language models to clinical FHIR R4 data with robust governance, CDS Hooks, and multi-persona outputs.
Manages basic file system operations, allowing listing and deletion of files within a restricted directory.
Generates and refactors code to adhere to Data, Context, and Interaction (DCI) architecture principles using language-specific rules and large language models.
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