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Benchmarks vLLM endpoints interactively through MCP, enabling performance evaluation of large language models.
Integrates with Mattermost to retrieve and process information via the Model Context Protocol.
Enriches data from multiple security products using a Model Context Protocol server.
Enables LLMs to fetch and process JavaScript-rendered web content, converting HTML to markdown for easier consumption.
Control Software Defined Radios and decode radio protocols through an AI-friendly Model Context Protocol interface.
Provides large language models with persistent, intelligent semantic memory across conversations.
Manages Asset Administration Shells (AAS) via Eclipse BaSyx, providing tools for AI assistant interaction in industrial environments.
Unify diverse tools and capabilities through the Model Context Protocol, allowing AI systems to interact with specialized services with live progress updates.
Exposes Docker functionality to AI assistants like Claude, enabling management of containers, images, networks, and volumes through a type-safe API.
Enables large language models to manage users, threat models, and security data within the Devici platform via an MCP server.
Enables AI assistants to interact with Dev Proxy capabilities through the Model Context Protocol (MCP) standard.
Facilitate structured feedback on markdown plans for AI agents to automatically implement, answer, and track.
Provides a local Model Context Protocol server for AI agents to manage and persist their operational memory and context.
Enables Large Language Models to interact with PostgreSQL, SQLite, and MySQL databases.
Exposes the Microsoft Dataverse Web API as AI-callable tools, enabling AI agents to query, create, and manage records without schema hallucination.
Provides AI-native access to HackerNews, offering expert-ranked content and explainable quality signals.
Provides agent-native search with feedback-driven ranking for discovering MCP servers and performing web research.
Provides real-time emergency alerts, historical statistics, shelter search, and city data for Israel's RedAlert system.
Provides persistent, graph-based memory for LLM applications, utilizing multi-stage retrieval and community detection for human-like recall.
Enables autonomous overnight research loops for coding agents, featuring semantic arXiv search and robust memory management.
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