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Mastra

Mastra is a TypeScript framework for building AI-powered applications and agents, built by the team behind Gatsby (Sam Bhagwat, Abhi Aiyer, Shane Thomas). The framework provides production-grade primitives for agents, workflows, RAG, tools, memory, evals, voice, and observability, and integrates with 40+ model providers through the Vercel AI SDK. The framework is Apache 2.0 licensed open source, with a hosted commercial offering (Mastra Cloud) for deployment, tracing, and team collaboration, and an enterprise self-hosted edition for regulated environments.

human only

More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.

Kin Score

API Evangelist profiles Mastra the way a machine reads it — 13 machine-readable artifacts across 12 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Mastra scores 16.6/100 (emerging), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 16.6/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 3.0 / 20
Commercial Clarity 2.1 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 8.8 / 10
Agent readiness — 7/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 7 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Mastra

Each block below is one kind of artifact we hold for Mastra. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 12

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Mastra Framework

The Mastra framework is a TypeScript-first agentic stack distributed as the @mastra/* family of npm packages. The core package wires agents, workflows, memory, RAG, tools, MCP, ...

Mastra Agents

Mastra agents define behavior with a model, instructions, tools, memory, and processors, then expose .generate() and .stream() for typed text, object, and structured output gene...

Mastra Workflows

Workflows are durable, graph-based pipelines composed from typed steps with branching, parallelism, loops, suspension, human-in-the-loop, and event triggers. Step inputs and out...

Mastra Memory

The memory package provides conversation history, working memory, and semantic recall for agents, pluggable across PostgreSQL, LibSQL, Redis, Upstash, MongoDB, MS SQL, DynamoDB,...

Mastra RAG

The RAG package provides document loaders, chunkers, embedders (including FastEmbed local embeddings), rerankers, and retrieval helpers that compose with any Mastra vector store...

Mastra MCP

First-class Model Context Protocol support — Mastra ships an MCP client for connecting to any MCP server and exposing its tools to agents, plus an MCP server implementation for ...

Mastra Evals

Built-in evaluation library with model-graded (LLM-as-judge), rule-based, and statistical metrics for measuring agent output quality, hallucination, faithfulness, relevance, bia...

Mastra Voice

Voice abstractions for speech-to-text, text-to-speech, and realtime voice agents with provider adapters for OpenAI (including Realtime API), ElevenLabs, Deepgram, Google, Google...

Mastra Observability

OpenTelemetry-native tracing for agents, workflows, tools, and LLM calls with first-party exporters for Mastra Cloud, Langfuse, LangSmith, Braintrust, Arize, Arthur, Laminar, Da...

Mastra CLI

The mastra CLI scaffolds projects (`npm create mastra`), runs the local dev server with hot reload, opens the Studio playground, generates types, runs migrations on memory store...

Mastra Client SDKs

Client-side SDKs that talk to a Mastra server from the browser, React applications, or any JavaScript runtime. Includes @mastra/client-js (universal JS client), @mastra/react (R...

Mastra Deployers

Deployer packages that bundle a Mastra app for a target runtime. Built-in deployers cover Mastra Cloud, Cloudflare Workers, Vercel, and Netlify. Custom deployers can be written ...

Scroll within the panel for all 12 ·

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Mastra Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Mastra — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Documentation 1

Reference material describing how the API behaves

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Learn 2

Tutorials, courses, talks, and written guidance

Operate 2

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Other 4

Properties that don't map to a standard resource type

← All providers · Data indexed from github.com/api-evangelist/mastra-ai · machine-readable index on apis.io