Metorial

Metorial is agentic infrastructure for AI-native companies — "the Vercel for MCP." It hosts 1,200+ Model Context Protocol (MCP) servers serverlessly, giving AI agents and clients like Claude, ChatGPT, Cursor, Copilot and Codex one place to connect approved apps, tools and shared skills. Its hibernation technology makes every MCP server serverless (sub-second cold starts, pay-per-request), and it handles production OAuth, per-user isolation, tracing, access control (SSO/SAML) and ProtoGuard request safety. Developers integrate through a resource-oriented REST API (api.metorial.com) with official Node.js, Python and Go SDKs, a CLI, and standard MCP URLs. Founded 2025, San Francisco; backed by Y Combinator (F25).

Metorial is listed with 1 API on the APIs.io network. Tagged areas include Company, MCP, AI Agents, Agentic Infrastructure, and Integration.

Metorial’s developer surface includes documentation, API reference, getting-started guide, pricing, signup flow, engineering blog, CLI, and 24 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

35.3/100 thin ▬ flat Agent 15/100 agent aware Front door AI 6/6 dominant Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 2 Agent Skills

Company MCP AI AgentsAgentic InfrastructureIntegration Developer Tools Serverless

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 35.3/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 11.2 / 17

Access Clarity 4.5 / 17

Operational Transparency 5.5 / 11

Contract Governance 1.9 / 10

Discoverability 6.1 / 9

Regulatory Posture 3.2 / 15

Agent readiness — 15/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

7 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Access Clarity scores 26.3 — up to +14.7 composite points
Contract Governance scores 18.2 — up to +9.8 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/metorial/apis.yml: open an issue on github.com/api-evangelist/metorial to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 1

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

Metorial API

Resource-oriented REST API to manage integrations, providers, sessions, portals, skills, identities and MCP access programmatically. Bearer API-key auth, cursor pagination, date...

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

Deploy a Metorial provider and open an agent session

AGENT SKILL

Create a Magic MCP endpoint and issue a scoped token

AGENT SKILL

Rate Limits 1

Documented rate limits and quota policies.

Metorial Rate Limits

3 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Metorial

SLA

Security Posture 3

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

Metorial Authentication

apiKey · 2 schemes

SECURITY

Metorial Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Metorial Trust Center

SOC 2, GDPR

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

SignUp

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

X-MCPServerCandidate

X-MCPServerCandidate

WellKnown

WellKnown

AgentSkill

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

Compliance

SecurityCenter

DomainSecurity

Authentication

Operate 3

Status, limits, changes, and where to get help

StatusPage

StatusPage

Deprecation

Deprecation

RateLimits

RateLimits

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

APICatalog

APICatalog

Source (apis.yml)

aid: metorial
name: Metorial
description: Metorial is agentic infrastructure for AI-native companies — "the Vercel for MCP." It hosts 1,200+ Model Context
  Protocol (MCP) servers serverlessly, giving AI agents and clients like Claude, ChatGPT, Cursor, Copilot and Codex one place
  to connect approved apps, tools and shared skills. Its hibernation technology makes every MCP server serverless (sub-second
  cold starts, pay-per-request), and it handles production OAuth, per-user isolation, tracing, access control (SSO/SAML) and
  ProtoGuard request safety. Developers integrate through a resource-oriented REST API (api.metorial.com) with official Node.js,
  Python and Go SDKs, a CLI, and standard MCP URLs. Founded 2025, San Francisco; backed by Y Combinator (F25).
url: https://raw.githubusercontent.com/api-evangelist/metorial/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 19
  pass: local-v1
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - rate-limits
  - security
  - sandbox
  generated: '2026-11-06'
  method: derived
image: https://metorial.com/logo/logo.svg
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- MCP
- AI Agents
- Agentic Infrastructure
- Integration
- Developer Tools
- Serverless
tags_raw:
- Company
- MCP
- Model Context Protocol
- AI Agents
- Agentic Infrastructure
- Integrations
- Developer Tools
- Serverless
- API
apis:
- name: Metorial API
  description: Resource-oriented REST API to manage integrations, providers, sessions, portals, skills, identities and MCP
    access programmatically. Bearer API-key auth, cursor pagination, date-based versioning; 466 endpoints across 112 resource
    controllers.
  humanURL: https://metorial.com/api
  baseURL: https://api.metorial.com
  properties:
  - type: Documentation
    url: https://metorial.com/docs
  - type: APIReference
    url: https://metorial.com/api
  - type: GettingStarted
    url: https://metorial.com/docs/api-getting-started
  - type: Authentication
    url: authentication/metorial-authentication.yml
  - type: APIIntrospection
    url: https://metorial.com/api/introspection.json
    x-format: introspection-json
    x-note: Proprietary machine-readable API introspection (466 endpoints); no OpenAPI is published.
common:
- type: Website
  url: https://www.metorial.com/
- type: TrustCenter
  url: security/metorial-trust-center.yml
- type: Compliance
  url: https://metorial.com/security
- type: SecurityCenter
  url: https://metorial.com/security
- type: DomainSecurity
  url: security/metorial-domain-security.yml
- type: DeveloperPortal
  url: https://platform.metorial.com
- type: Documentation
  url: https://metorial.com/docs
- type: APIReference
  url: https://metorial.com/api
- type: GettingStarted
  url: https://metorial.com/docs/api-getting-started
- type: Pricing
  url: https://metorial.com/pricing
- type: SignUp
  url: https://platform.metorial.com
- type: GitHubOrganization
  url: https://github.com/metorial
- type: StatusPage
  url: https://status.metorial.com
- type: Blog
  url: https://metorial.com/blog
- type: LLMsTxt
  url: llms/metorial-llms.txt
- type: Packages
  url: packages/metorial-packages.yml
- type: SDKs
  url: packages/metorial-packages.yml
- type: CLI
  url: cli/metorial-cli.yml
- type: X-MCPServerCandidate
  url: mcp/metorial-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: Authentication
  url: authentication/metorial-authentication.yml
- type: Conventions
  url: conventions/metorial-conventions.yml
- type: ErrorCatalog
  url: errors/metorial-problem-types.yml
- type: Lifecycle
  url: lifecycle/metorial-lifecycle.yml
- type: Deprecation
  url: lifecycle/metorial-lifecycle.yml
- type: RateLimits
  url: rate-limits/metorial-rate-limits.yml
- type: Conformance
  url: conformance/metorial-conformance.yml
- type: DataModel
  url: data-model/metorial-data-model.yml
- type: Sandbox
  url: sandbox/metorial-sandbox.yml
- type: WellKnown
  url: well-known/metorial-well-known.yml
- type: APICatalog
  url: well-known/metorial-api-catalog.json
- type: AgentSkill
  url: skills/_index.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io

Metorial API — frequently asked questions

Does Metorial have an API?

Yes. APIs.io lists 1 API from Metorial, including Metorial API.

How do I authenticate with the Metorial API?

Metorial uses bearer-token authentication (apiKey · 2 schemes). The details are profiled on APIs.io as Metorial Authentication.

Is the Metorial API ready for AI agents?

Metorial has a Kin Score of 35.3 out of 100 (thin) and an Agent Readiness score of 15.1 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

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