{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_wnnjz25eyhvt","handle":"mlops-mcp-server","url":"https://wellknown.network/agents/mlops-mcp-server","links":{"self":"https://wellknown.network/agents/mlops-mcp-server/record.json","html":"https://wellknown.network/agents/mlops-mcp-server","markdown":"https://wellknown.network/agents/mlops-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/mlops-mcp-server","status":"https://wellknown.network/api/v1/agents/mlops-mcp-server/status","claim":"https://wellknown.network/agents/mlops-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/mlops-mcp-server/claim.json","badge":"https://wellknown.network/agents/mlops-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/mlops-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/mlops-mcp-server/tools"},"ard":{"identifier":"urn:air::server:mlops-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"mlops-mcp-server","summary":"MCP server for common MLOps workflows","description":"## MLOps MCP Server\n\n[![PyPI](https://img.shields.io/pypi/v/mlops-mcp-server)](https://pypi.org/project/mlops-mcp-server/)\n![Python 3.11+](https://img.shields.io/badge/python-3.11%2B-blue)\n![License: MIT](https://img.shields.io/badge/License-MIT-green)\n\n**MCP server for common MLOps workflows**\n\nAn [MCP (Model Context Protocol)](https://modelcontextprotocol.io) server that gives AI assistants like Claude direct access to MLOps workflows — experiment tracking, model registry, dataset management, pipeline orchestration, lineage tracing, and more. Wraps DVC, MLflow, and Git rather than replacing them.\n\n---\n\n## Features\n\n- **Experiment tracking** — create runs, log params/metrics/artifacts, compare runs, find best run, export to CSV\n- **Model registry** — register, promote, tag, deprecate, and compare model versions; generate model cards\n- **Dataset management** — profile datasets, validate schemas, detect statistical drift (KS-test), split, merge, and generate dataset cards\n- **Pipeline management** — create, validate, and visualize DAG pipelines as Mermaid diagrams; cycle detection via Kahn's algorithm\n- **Data lineage** — record artifact lineage, trace provenance with BFS, visualize as Mermaid graphs, check integrity\n- **File operations** — full file/directory CRUD, content search, disk usage, batch operations\n- **Project scaffolding** — 7 ML project templates with component injection and structure validation\n- **Documentation generation** — model cards, dataset cards, experiment reports, pipeline docs, project READMEs, API docs\n- **MLflow integration** — optional; wraps tracking, registry, and artifact operations\n- **DVC integration** — optional; wraps data versioning and pipeline reproduction\n- **Git operations** — optional; status, add, commit, log, .gitignore generation\n- **Environment tools** — scan imports, generate requirements, check conflicts, create conda env files\n\nTools are registered in two tiers: a small set of always-on tools for quick file ops and di…","publisher":null,"homepage":"https://github.com/anant-patankar/mlops-mcp-server","repository":"https://github.com/anant-patankar/mlops-mcp-server/issues","version":"0.1.0","license":null,"protocols":["mcp"],"tags":["dvc","experiment-tracking","llm-tools","machine-learning","mcp","mlflow","mlops","model-context-protocol","model-registry"],"pricing":null,"endpoints":[{"url":"pypi:mlops-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"code.documentation","name":"Code Documentation","confidence":1,"provenance":"derived"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.802,"provenance":"derived"}],"categories":["code","dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"mlops-mcp-server","registry":"pypi","observedAt":"2026-11-03T18:22:58.170Z","publishedAt":"2026-04-13T18:57:24.795337Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"mlops-mcp-server","url":"https://pypi.org/project/mlops-mcp-server/","firstSeenAt":"2026-09-10T06:23:24.394Z","fetchedAt":"2026-11-03T18:21:35.687Z","normalizedAt":"2026-11-03T18:21:35.687Z"}]},"firstSeenAt":"2026-09-10T06:23:24.394Z","updatedAt":"2026-11-03T18:22:58.170Z"}