MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines

MCP server for educational dermatology knowledge, MoleCare API tools, and MLOps operations tooling. Runs in mock mode with no credentials. Not a medical device.

MCP server and MLOps CLI to export, quantize, audit, benchmark and auto-tune PyTorch and ONNX computer-vision models for edge deployment.

Image Annotation, including Histopathology slides; From H&E slide to training data in one conversation: nuclei, outlines and slide QC, exported to QuPath, COCO or YOLO. No GPU needed. For Whole Slide Imaging (WSI), Digital and Computational Pathology, Bioinformatics, Tumor Microenvironment (TME) and MLOps Data Labeling.

lightweight MCP server for ClearML

Model Context Protocol server for GitHub issue functions

Model Context Protocol server for GitHub Actions

Modern experiment tracking that follows you across servers, messengers, and LLMs.

A multi-interface (REST and MCP) server for natural language inference

Terminal ray tracing, lightly sautéed with chaos where anyone can cook

MCP server for EdgeGate — set up edge-AI regression gates from Claude Code, Cursor, or Claude Desktop.

A multi-interface (REST and MCP) server for automatic license plate recognition 🚗

MCP server to inspect Metaflow runs, logs, and artifacts from your coding agent.

MCP server for Google Vertex AI — 181 tools covering all v1 REST API endpoints

Hypothesis-first experiment tracking for agent-driven ML research, wired into Claude Code.

This platform handles the entire lifecycle of an industrial anomaly detection system

MCP server for EdgeGate — set up edge-AI regression gates from Claude Code, Cursor, or Claude Desktop.

Train PyTorch on every GPU you can reach: one Trainer, from your laptop to many machines. NVIDIA CUDA, Apple Metal and CPU; self-hosted, open source.

Diagnose and Fix CUDA / GPU environments compatibility issues locally, in Docker, and CI/CD. CLI + MCP server available.

Domino Data Lab skills and MCP server for AI coding agents: Claude Code, OpenAI Codex and ChatGPT, Gemini CLI and Antigravity

Fleet control plane: probe, boot and recover multi-node AI subsystems with proof. Docker and self-hosted inference fleet management.

Self-hosted tabular ML that doesn't lie. Leakage Guard, conformal intervals, profit-optimized thresholds, counterfactuals & instant REST/MCP API.

Denpex MCP Server: Diagnose GPU & ML training failures (CUDA OOM, NCCL timeouts, NVIDIA Xid, Slurm, vLLM) from Claude Desktop, Cursor, Windsurf, and Cline.

The ultimate MCP documentation server - 170+ curated repos, 11,000+ docs, full-text search for AI assistants

Deep health checks for modern AI infrastructure — 44 company profiles across 5 regions, 14 compliance frameworks, governance auditing, MCP integration, and trend dashboard

Self-hosted data annotation and labeling platform for images, video, audio, text, PDF and LLM evaluation. Your storage, your models, your cloud.

AI/ML production readiness auditing. A remote MCP server that audits machine-learning projects for the issues that cause production incidents.

Developer-first model inventory and governance framework for SR 11-7, EU AI Act, and NIST AI RMF compliance

Open-source model inventory & governance. Discovers every model, rule, and pipeline across all your platforms as one immutable, agent-queryable graph — git for models.

MCP server bridging the MoleCare API to any MCP client: educational dermatology knowledge (lesion terminology, ABCDE criteria, SNOMED CT to ICD-10 mapping) and mole tracking data. Runs with no credentials. Not a medical device.

Evidence-bound remediation agent for DataHub-governed data products. Turns one schema-drift incident into a proof-carrying, verified dbt change set — with an MCP server and a DataHub Skill so an agent can drive it, but never approve it.

Git-first, hypothesis-forcing experiment tracking for agent-driven ML research. Bundles a research harness for the H->E->F artifact model, uses signac for local execution/run state, and bridges to W&B for remote observability.

Auditable research provenance as local-first MCP tools. The claim checker, paper feed, knowledge graph and symbolic math assume nothing about your field — any results JSON or CSV works, from any instrument. The experiment ledger adds W&B/MLflow/Sacred/DVC/Hydra for computational work. Nothing leaves the machine.

Probe Research: experiment tracking for coding agents. Plugins and skills for Claude Code, Codex and Cursor plus a read-only MCP server, so agents build on what your team already tried. CLI: pip install probe-research / npx probe-research. CI-generated mirror of Probe's monorepo.