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licenseNot graded
qualityB
maintenanceEnables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
445
1
MIT
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"A search for local newspapers or small community publications" matching MCP servers:
- FlicenseNot gradedqualityBmaintenanceMCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.
- AlicenseNot gradedqualityBmaintenanceProvides context management, task classification, and routing tools for small models (1B-12B) in production agentic workflows.1MIT
- AlicenseAqualityAmaintenanceDelegates mechanical text-to-text tasks to a local LLM to save Claude subscription quota, reading files server-side so large content never enters Claude's context.115MIT
- AlicenseNot gradedqualityCmaintenanceLocal-first MCP server for controlling a loopback ComfyUI instance from same-machine or authenticated LAN clients.MIT
- AlicenseNot gradedqualityDmaintenanceEnables running MCP tools against local MLX models on your Mac, with hardware-aware configuration, CLI streaming, and a dashboard for routing and monitoring.5,309Inno Setup
- FlicenseNot gradedqualityDmaintenanceRun Liquid AI's LFM2.5 model locally on Mac with a chat UI and MCP server for integration with Claude Desktop, Cursor, and other tools. Offers fast inference, privacy, and multi-Mac clustering.1
- FlicenseNot gradedqualityBmaintenanceRoutes code generation tasks between local models and Claude Cloud, optimizing cost by handling simple tasks locally and reserving cloud thinking for complex tasks.
- AlicenseAqualityBmaintenanceEvaluates task suitability for local models before cloud API calls, routing to Ollama or similar to reduce costs.1199MIT
- FlicenseAqualityBmaintenanceLets a text-only LLM read images and PDFs by delegating to a vision model running on your own GPU.3
- AlicenseAqualityBmaintenanceA thin MCP server that delegates lightweight tasks from Claude Code or any MCP-compatible client to local or cloud LLMs via LiteLLM, supporting models like Ollama and cloud APIs as subagents.1MIT
Local AI MCPofficial
AlicenseAqualityAmaintenanceUnified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.16224Creative Commons Attribution Non Commercial No Derivatives 4.0 International- AlicenseAqualityCmaintenanceMCP server connecting Claude Code to LM Studio, delegating token-expensive tasks to a local model while keeping the cloud model in control. It reduces cloud context usage by reading files locally and returning only the processed results.4MIT
Msty Local Opsofficial
AlicenseAqualityAmaintenanceA fail-closed MCP server for Msty Studio on macOS that provides read-only diagnostics and an optional bounded local-generation tool, without accessing chats, keys, or configuration.4MIT- AlicenseAqualityAmaintenanceAn MCP server that integrates with a local ComfyUI, allowing assistants to list and run workflows, monitor progress, and view results, as well as read and edit the live workflow canvas via an optional bridge node.485GPL 3.0
- AlicenseAqualityCmaintenanceEnables Claude to read and search WhatsApp messages, transcribe voice notes, and analyze images locally through a read-only bridge.19MIT
- AlicenseAqualityBmaintenanceProvides offline translation across 200+ languages using a local NLLB-200 model, with no data leaving your machine.2146MIT
- AlicenseAqualityBmaintenanceMCP server that delegates Claude Code subagents to alternative backends such as local models, DeepSeek, or AWS Bedrock, while keeping your Claude Code orchestrator session intact.59MIT
- AlicenseAqualityBmaintenanceProvides local vision and audio perception for MCP-compatible agents, enabling them to read images, transcribe text from visual media, analyze videos, and convert speech to text entirely on-device. It is privacy-focused with no cloud upload or API keys by default, using Ollama for inference.61MIT
- AlicenseBqualityCmaintenanceDelegates heavy, repetitive, and verifiable tasks like PDF extraction, code analysis, and log processing to a local LLM to reduce token consumption for frontier AI models, while keeping decision-making with the main AI.8MIT