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maintenance45-tool MCP server for video analysis, deep research, content extraction, web search, and Weaviate knowledge storage. Powered by Gemini 3.1 Pro.
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Best MLflow MCP Servers
MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, reproducible runs, and model deployment.
Why this server?
Provides tools for querying, debugging, and evaluating MLflow traces generated during research and analysis workflows.
Why this server?
Discovers and scans MLflow platforms to identify security risks and verify the provenance of AI models.
AlicenseBqualityBmaintenanceAI supply chain security scanner for MCP servers and AI agents. 18 tools for CVE scanning, blast radius mapping, CIS benchmarks, SBOM generation, and compliance enforcement across OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act.Last updated5522Apache 2.0Why this server?
Provides comprehensive tools for managing MLflow experiments, runs, registered models, model versions, logged models (MLflow 3), traces, assessments, webhooks, and prompt-optimization jobs. Includes aggregation tools and MCP resources for efficient AI-driven workflows.
AlicenseBqualityAmaintenanceMLflow MCP — 82 tools for experiments, runs, registered models, traces, assessments. MLflow 3 GenAI traces support with analyze-failed-traces workflow Prompt.Last updated82113MITWhy this server?
Supports integration with MLflow model registries to track and generate human-readable explanations for registered machine learning models.
FlicenseAquality-maintenanceProvides deterministic, plain-English narratives explaining machine learning model predictions via the Model Context Protocol. It enables users to query classification factors directly through natural language, bypassing the need for complex plots or manual code execution.Last updated20Why this server?
Provides tools for interacting with MLflow experiments, runs, and registered models, enabling browsing of experiments, retrieving run details with metrics and parameters, and querying the model registry with filtering and pagination support.
AlicenseCqualityCmaintenanceEnables AI assistants to interact with MLflow experiments, runs, and registered models. Supports browsing experiments, retrieving run details with metrics and parameters, and querying the model registry through natural language.Last updated7MITWhy this server?
Provides tools for experiment tracking, model registry, and artifact operations using MLflow.
Alicense-qualityBmaintenanceEnables AI assistants to perform MLOps workflows such as experiment tracking, model registry, dataset management, pipeline orchestration, and data lineage by wrapping DVC, MLflow, and Git.Last updated1MITWhy this server?
Provides tools for managing MLflow experiments, runs, metrics, parameters, artifacts, logged models, and the model registry, enabling LLMs to interact with MLflow tracking servers.
Alicense-qualityBmaintenanceA Model Context Protocol server that enables LLMs to interact with MLflow tracking servers, allowing users to query experiments, analyze runs, compare metrics, manage the model registry, and promote models through natural language.Last updated13MITWhy this server?
Provides tools to manage SageMaker AI Managed MLflow Tracking Servers, with capabilities to create, describe, start, stop, delete, and generate presigned URLs.
Alicense-quality-maintenanceEnables AI assistants to manage Amazon SageMaker AI resources including endpoints, jobs, pipelines, MLflow tracking servers, domains, models, model cards, and apps.Last updated4Apache 2.0Why this server?
Enables logging of repository snapshots (git history, filesystem stats, environment markers) as artifacts to MLflow experiments for tracking and versioning.
Alicense-qualityDmaintenanceEnables searching text across configured local workspaces using ripgrep. Provides secure text search capabilities within defined workspace boundaries through both MCP server and CLI interfaces.Last updatedMIT