rag-mcp
1441MCP server Claude CodeCodexCursor +2
This is a local rag-mcp solution with chromadb using langchain and docling. Runs locally from the rag-mcp Python package.
13,736 mods in this category, of every kind an agent can take. Each one carries what it costs per session, what the scan found, and whether it is the original.
MCP server Claude CodeCodexCursor +2
This is a local rag-mcp solution with chromadb using langchain and docling. Runs locally from the rag-mcp Python package.
MCP server Claude CodeCodexCursor +2
MCP server for querying cocoindex code embeddings database. Runs locally from the cocoindex-mcp Python package.
MCP server Claude CodeCodexCursor +2
A locally running image-recognition server that lets an agent send images to visual AI services. MCP is a standard way for an agent to connect to external tools.
MCP server Claude CodeCodexCursor +2
MCP server "kaggle" as configured in mtrakretech/kaggle-mcp. Runs /ABSOLUTE/PATH/TO/kaggle-mcp/kaggle_mcp.py with python. Needs 3 environment variables to run.
MCP server Claude CodeCodexCursor +2
Vendor-neutral context contract, semantic compiler, release validation, and MCP runtime for reliable data agents. Runs locally from the @dagurupriyan/ctxd npm package.
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.
Maha-Strategies/maha-mcp-bridge
Skill Claude CodeCodex
Pre-inference prompt compression middleware that reduces document and prompt token payloads by 74% prior to calling LLMs. Use this tool when prompt context exceeds 10,000 tokens to cut LLM input token costs on Base Mainnet.
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.
Skill Claude CodeCodex
The core OpenAI-compatible inference endpoints: chat completions, embeddings, images, audio (TTS/STT), moderations, rerank, and the Responses API. The primary integration surface for AI agents.
MCP server Claude CodeCodexCursor +2
MCP server "gemini-understanding" as configured in sandlong/gemini-understanding. Runs locally from the @sandlong/gemini-understanding npm package.
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
Run reproducible bioinformatics pipelines from an AI assistant over MCP, with verifiable provenance. Runs locally from the flowproof-mcp Python package.
Skill Claude CodeCodex
Use Guardian MCP tools to monitor, intervene, and analyze ML training. Covers 35 tools across monitoring, checkpoint analysis, recovery, dashboard config, and cross-experiment queries. Use when the user asks about training status, anomalies, checkpoints, experiments, model analysis, or when Guardian MCP server is…
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.
JayceVane/visual-understanding
Skill Claude Code
Multi-provider visual understanding tool for images, videos, and documents. Supports captioning, OCR, visual Q&A, document analysis, and object grounding (bounding-box localisation) through configurable providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint). Use when the user wants…
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