MLflow
MLflow is an Apache 2.0 open-source platform for the end-to-end ML and GenAI lifecycle: tracking, model registry, deployment, evaluation, traces, prompts, and GenAI gateway. The tracking server exposes a REST API under `/api/2.0/mlflow`.
MLflow publishes 8 API contracts indexed on the APIs.io network, including Artifacts API, Experiments API, Metrics API, and 5 more. Tagged areas include Machine Learning, MLOps, Generative AI, Experiment Tracking, and Open Source.
The MLflow catalog on APIs.io includes 1 Spectral governance ruleset.
MLflow’s developer surface includes authentication, developer portal, engineering blog, and 18 more developer resources.
What this lets a business do 1
Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →
Kin Score
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| MLOps and AI/ML Infrastructure (LF AI & Data, MLPerf, Kubeflow) | standard | 52.4 | - | - |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Standards implemented 1
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
APIs 8
Individual APIs this provider publishes, each with its own machine-readable definition.
MLflow REST API
The MLflow tracking server exposes a REST API for experiments, runs, parameters, metrics, tags, registered models, model versions, model aliases, and artifacts, plus newer endpo...
MLflow AI Gateway API
The MLflow AI Gateway provides a unified HTTP interface to LLM providers with routing, rate-limiting, and secret management features.
MLflow Artifacts API
List and obtain presigned URLs for run artifacts.
MLflow Experiments API
Manage MLflow experiments.
MLflow Metrics API
Log and retrieve metric history for runs.
MLflow Model Versions API
Manage versions of registered models.
MLflow Registered Models API
Manage registered models in the MLflow Model Registry.
MLflow Runs API
Create and manage runs within an experiment.
Scroll for all 8
Open Collections 7
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
MLflow Tracking REST Artifacts API
OPEN COLLECTIONMLflow Tracking REST Artifacts Experiments API
OPEN COLLECTIONMLflow Tracking REST Artifacts Metrics API
OPEN COLLECTIONMLflow Tracking REST Artifacts Model Versions API
OPEN COLLECTIONMLflow Tracking REST Artifacts Registered Models API
OPEN COLLECTIONMLflow Tracking REST Artifacts Runs API
OPEN COLLECTIONMLflow Tracking REST API
OPEN COLLECTIONScroll for all 7
MLflow API pricing
Not yet checked against MLflow's own pricing page. Compiled by API Evangelist on 2026-05-08 from mlflow.org/; confirm before you rely on a figure.
| Plan | Price |
|---|---|
| To Be Reconciled enterprise | — |
Plan details, limits and sources →
Rate limits
- Default: see provider documentation varies
Compiled by API Evangelist, not yet checked against MLflow's documentation. Rate-limit details →
Pricing Plans 1
Published pricing tiers and plan structures.
MLflow Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
MLflow Rate Limits
RATE LIMITSTerms of Service 1
What its API terms permit and prohibit, quoted from its own page.
Data License 1
How its data and outputs may be reused, quoted from its own terms.
FinOps 1
Cost, billing, and metering signals for API financial operations.
MLflow Finops
FINOPSSpectral Rules 1
Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.
MLflow API Rules
SPECTRALSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access (API Evangelist recommendations) 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 5
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 2
Properties that don't map to a standard resource type
Source (apis.yml)
MLflow API — frequently asked questions
Does MLflow have an API?
Yes. APIs.io lists 8 APIs from MLflow, including MLflow REST API, MLflow AI Gateway API and MLflow Artifacts API, and 5 more.
Is there an OpenAPI specification for the MLflow API?
Yes. APIs.io indexes 6 OpenAPI specifications for MLflow, each linked for download from this page.
How do I authenticate with the MLflow API?
MLflow uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as MLflow Authentication.
How much does the MLflow API cost?
APIs.io lists 1 pricing plan for MLflow, with each plan's price, limits and inclusions under Pricing on this page.
Is the MLflow API ready for AI agents?
MLflow has a Kin Score of 38.7 out of 100 (thin) and an Agent Readiness score of 21.3 (agent-aware), scored by API Evangelist on 2026-11-13.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.