"The Models Resource" matching MCP servers:

MCP server for controlling satellite ground station operations in the Trench simulation, including pass management, downlink control, and antenna pointing.

Shrink the web for your local LLMs! Provides web research capabilities to low resource models and environments.

Identifies resource-intensive processes on macOS across CPU, memory, and network usage, with tools for detailed process filtering and system overview.

Provides AI agents with a toolset to query model inventories, trace dependencies, and analyze the impact of changes across machine learning models and data pipelines.

MCP server that helps AI assistants automatically find, filter, and rank the best AI models for a specific task using the OpenRouter API.

Enables ChatGPT to delegate tasks to various AI models (e.g., Gemini, Claude, Qwen) via OpenRouter, acting as an orchestrator that returns results with confirmed model usage.

Exposes MCP resources through generic compatibility tools for clients that cannot call resources/read directly.

MCP server for Benny the dog's health and care monitoring, allowing users to log care events like water refills, barks, movement, sausage deliveries, movie time, and wake calls, with automatic loneliness detection and Boomy robot integration.

Manages resource allocation, MCP server lifecycle, and Kubernetes workers in cortex automation systems. Provides tools for requesting/releasing job resources, starting/stopping/scaling MCP servers, and provisioning/destroying burst workers with TTL management.

A Model Context Protocol server that enables Large Language Models to seamlessly interact with ClickHouse databases, supporting resource listing, schema retrieval, and query execution.

An MCP Server that provides a natural language interface to Google Cloud Resource Settings API, enabling users to view and manage settings for Google Cloud resources through conversation.

Enables two local LLMs (Qwen and Llama) to communicate via MCP, allowing one model to consult the other for second opinions or additional reasoning.

Enables AI-assisted gameplay for Slay the Spire by reading game state and providing strategy advice or automated actions via Claude Code.

An MCP server that exposes Azure resource management tools, allowing AI assistants to list resource groups, list resources in a group, and retrieve subscription information.

A Python implementation of the MCP server that enables AI models to connect with external tools and data sources through a standardized protocol, supporting tool invocation and resource access via JSON-RPC.

A local MCP server that routes QA reviews through deterministic profiles and risk-based escalation while keeping source evidence and final decisions with the host.

The open-source, self-organizing memory for all your AI tools. Persistent memory over MCP (remember, recall, observe): background agents extract entities, resolve conflicts, and keep cited syntheses current in an append-only, encrypted, single-tenant vault.

An MCP server that runs The Fortuneteller's Hand, a solo journaling tabletop RPG where Claude runs the table, casting Omens and reading the cards.

Feedback ingestion for AI agents. Record your screen and talk; your agent does the rest — files the bugs, writes the spec, builds the backlog.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.