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quality45-tool MCP server for video analysis, deep research, content extraction, web search, and Weaviate knowledge storage. Powered by Gemini 3.1 Pro.
Last updated 18 days ago
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MIT
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.
AsecurityAlicense-qualityAI 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 updated 12 hours ago2010Apache 2.0Why 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.
AsecurityAlicense-qualityEnables 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 updated a month ago7MITWhy this server?
Provides searchable documentation for MLflow experiment tracking as part of the MLOps knowledge base.
-securityAlicense-qualityProvides AI assistants with searchable access to documentation from 170+ curated repositories and 1000+ popular GitHub projects across 20+ categories including trading, AI/ML, DevOps, and web development.Last updated 10 months ago2MITWhy this server?
Acknowledges MLflow as a related project in the model evaluation ecosystem
Apache 2.0Why this server?
Supports integration with MLflow model registries to track and generate human-readable explanations for registered machine learning models.
AsecurityFlicense-qualityProvides 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 updated 16 days ago20Why this server?
Provides a natural language interface to MLflow, enabling queries about registered models, experiment tracking, and system information using plain English
-securityFlicense-qualityA natural language interface for MLflow that allows users to query and manage their machine learning experiments and models using plain English through the Model Context Protocol.Last updated 10 months ago10Why this server?
Connects to MLflow Prompt Registry, allowing access to managed prompt templates through MCP, with tools for listing available prompts and retrieving specific prompts with variable arguments.
-securityFlicense-qualityEnables access to prompt templates managed in MLflow through Claude Desktop, allowing users to instruct Claude with saved templates for repetitive tasks or common workflows.Last updated a year ago2Why this server?
Enables logging of repository snapshots (git history, filesystem stats, environment markers) as artifacts to MLflow experiments for tracking and versioning.
-securityFlicense-qualityEnables 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 updated 2 months ago