llmstudio-mcp
481MCP server Claude CodeCodexCursor +2
MCP server "llmstudio-mcp" as configured in dam2452/llmstudio-mcp. Runs locally from the llmstudio-mcp Python package.
1,325 tagged Data and AI, measured the same way as everything else here.
Browse within: mcp-server 129model-context-protocol 101LLM 97ai-tools 27cli 27embeddings 22local-first 22agentic-ai 19knowledge-graph 19gemini 16claude-desktop 15fastmcp 15knowledge-base 15agents 14
MCP server Claude CodeCodexCursor +2
MCP server "llmstudio-mcp" as configured in dam2452/llmstudio-mcp. Runs locally from the llmstudio-mcp Python package.
MCP server Claude CodeCodexCursor +2
MCP server for OpenVecta — call OpenVecta inference models (OpenAI-compatible, USDC per call) as tools from any MCP client. Runs locally from the @openvecta/mcp npm package.
sakshamjain2301/videocontext-mcp
MCP server Claude CodeCodexCursor +2
MCP server "video-understanding-mcp" as configured in sakshamjain2301/videocontext-mcp. Runs locally from the video-understanding-mcp Python package.
MCP server Claude CodeCodexCursor +2
Semantic search MCP server for an Acumatica KB, single multilingual index, no Obsidian/Smart Connections required. Runs locally from the grp-kb Python package.
MCP server Claude CodeCodexCursor +2
MCP server "hybrid-rag-mcp-server" as configured in n-irei/hybrid-rag-mcp-server. Runs locally from the hybrid-rag-mcp-server Python package.
MCP server Claude CodeCodexCursor +2
MCP API server for h2oGPTe. Runs locally from the h2ogpte-mcp-server Python package.
MCP server Claude CodeCodexCursor +2
MCP server "mcp-prompt-server" as configured in marcmodin/mcp-prompt-server. Runs locally from the mcp-prompt-server Python package.
LiChenStuttgart/data-science-mcp
MCP server Claude CodeCodexCursor +2
Data Science MCP Server — Model training, evaluation, and evolution tools for agentic ML workflows. Integrates with agent-utilities IModelEvolver (CONCEPT:AHE-3.15). Runs locally from the data-science-mcp Python package.
MCP server Claude CodeCodexCursor +2
MCP server "gemini-understanding" as configured in sandlong/gemini-understanding. Runs locally from the @sandlong/gemini-understanding npm package.
gaabrielrd/local-model-workers-mcp
MCP server Claude CodeCodexCursor +2
MCP server "local-model-workers" as configured in gaabrielrd/local-model-workers-mcp. Launched with local-model-workers-mcp. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
A local MCP server for visual understanding from the GLM Coding Plan. Visual understanding means examining images and interpreting what they contain.
MCP server Claude CodeCodexCursor +2
MCP Server that gives DeepSeek (and other text-only LLMs) vision capability via third-party OpenAI-compatible vision APIs. Runs locally from the deepseek-vision-mcp Python package.
MCP server Claude CodeCodexCursor +2
Run reproducible bioinformatics pipelines from an AI assistant over MCP, with verifiable provenance. Runs locally from the flowproof-mcp Python package.
MCP server Claude CodeCodexCursor +2
A locally run MCP server that uses the GLM-4V multimodal AI model to analyse images and other visual input. Multimodal means it can work with visual content as well as text.
MCP server Claude CodeCodexCursor +2
MCP server for visual understanding via Xiaomi MIMO multimodal API. Runs locally from the mimo-vision-mcp Python package.
MCP server Claude CodeCodexCursor +2
MCP server "layout-aware-rag" as configured in zzkws/Layout-Aware-RAG. Runs locally from the layout-aware-rag Python package.
MCP server Claude CodeCodexCursor +2
MCP server "llm-eval-mcp" as configured in cdywolf/llm-eval-mcp. Runs locally from the llm-eval-mcp Python package.
MCP server Claude CodeCodexCursor +2
MCP server "table-rag-mcp" as configured in BitDG/TableRAG. Runs locally from the table-rag-mcp Python package.
MCP server Claude CodeCodexCursor +2
Local sidecar giving any tool grounded, cited, routed AI — Ollama or OpenRouter, no API key required. Runs locally from the llm-sidecar Python package.
MCP server Claude CodeCodexCursor +2
Semantic search for Obsidian vaults via MCP. Runs locally from the obsidian-rag-mcp Python package.
AyushShanu/CodeBase-MCP-Server
MCP server Claude CodeCodexCursor +2
MCP server "codebase-rag-mcp" as configured in AyushShanu/CodeBase-MCP-Server. Runs locally from the codebase-rag-mcp Python package.
zdrjson/thinking-prompts-skill
MCP server Claude CodeCodexCursor +2
MCP server "thinking-prompts" as configured in zdrjson/thinking-prompts-skill. Runs locally from the thinking-prompts npm package.
MCP server Claude CodeCodexCursor +2
MCP Server that gives DeepSeek (and other text-only LLMs) vision capability via third-party OpenAI-compatible vision APIs. Runs locally from the deepseek-vision-mcp Python package.
MCP server Claude CodeCodexCursor +2
Open-source prompt optimizer plugin for terminal AI agents: cuts token waste via a behavior protocol, local prompt compression, ask-or-assume clarifying questions, and cheapest-capable model routing. Runs locally from the promptopt npm package.