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maintenanceExposes Databricks REST APIs as MCP tools for managing and querying a Databricks workspace, including clusters, jobs, SQL, Unity Catalog, and more.
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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 managing MLflow experiments, runs, models, registered models, model versions, and webhooks.
Why 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 updated82348MITWhy 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.
AlicenseAqualityBmaintenanceA 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 updated4013MITWhy this server?
Discovers and scans MLflow platforms to identify security risks and verify the provenance of AI models.
AlicenseAqualityBmaintenanceAI 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 updated7024Apache 2.0Why this server?
Provides tools for querying, debugging, and evaluating MLflow traces generated during research and analysis workflows.
AlicenseAqualityBmaintenance45-tool MCP server for video analysis, deep research, content extraction, web search, and Weaviate knowledge storage. Powered by Gemini 3.1 Pro.Last updated344422MITWhy 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 to manage SageMaker AI Managed MLflow Tracking Servers, with capabilities to create, describe, start, stop, delete, and generate presigned URLs.
Alicense-qualityDmaintenanceEnables 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?
Provides tools for managing MLflow experiments, runs, artifacts, metrics, and parameters.
Alicense-qualityCmaintenanceEnables AI assistants to interact with the Databricks platform through 263 tools and 8 prompt templates, covering Unity Catalog, SQL, Compute, Jobs, Pipelines, and more.Last updatedApache 2.0