Corduroy Labs

Corduroy Labs is an AI Architecture Studio in Truckee, California (est. 2025) that builds agent-first foundations on open systems for small and mid-size organizations: role inboxes, CRM records, routing, approval gates and workflow automation that people and agents share. It publishes an open library of MIT-licensed Agent Skills, RSS/JSON feeds, an llms.txt, and a public streamable-HTTP MCP server (ai.corduroy-labs/updates, https://corduroy-labs.ai/mcp) that exposes list_updates and get_update over its JSON Feed.

Corduroy Labs is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Agents, Agentic Operations, and MCP.

Corduroy Labs’ developer surface includes documentation, engineering blog, support, and 23 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.1/100 emerging Agent 17/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

1 API 1 MCP Servers 3 Agent Skills

Company Artificial Intelligence AI AgentsAgentic OperationsMCP Agent Skills Open Source Workflow Automation Consulting

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 22.1/100 · emerging

Contract Quality 1.5 / 21

Developer Ergonomics 5.3 / 17

Access Clarity 0.0 / 17

Operational Transparency 3.2 / 11

Contract Governance 1.9 / 10

Discoverability 6.9 / 9

Regulatory Posture 2.3 / 15

Agent readiness — 17/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 5 / 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 Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →

8 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 7.2 — up to +23.2 composite points Ask about this →
Access Clarity scores 0.0 — up to +20.0 composite points Ask about this →
Developer Ergonomics scores 31.0 — up to +13.8 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/corduroy-labs-ai/apis.yml: open an issue on github.com/api-evangelist/corduroy-labs-ai 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 4

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.

Agent2Agent

measured — observed by APIs.io (conformant)

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

Agent Skills

measured — observed by APIs.io (published)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (documented)

APIs 1

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

Corduroy Labs MCP Server

Public, unauthenticated streamable-HTTP Model Context Protocol server (serverInfo corduroy-labs 1.28.1, protocol 2025-06-18) that projects the studio's JSON Feed into two tools,...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Corduroy Labs MCP Server

Public, unauthenticated streamable-HTTP MCP server run by Corduroy Labs. It exposes the studio's JSON Feed (https://corduroy-labs.ai/feed.json) as two read-only tools. The docs ...

MCP SERVER

Agent Skills 3

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

defensive-llm-json-parsing

AGENT SKILL

fail-closed-static-deploys

AGENT SKILL

machine-readable-feeds

AGENT SKILL

Corduroy Labs API pricing

Rate limits

MCP endpoint per-IP limit: Sixty requests per hour per source IP, sliding window, enforced in-process.

Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Corduroy Labs Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Corduroy Labs Rate Limits

1 limits

RATE LIMITS

JSON Schema 1

Standalone JSON Schema definitions for this provider's data models.

Corduroy Labs Ai Mcp Tools List

0 properties

JSON SCHEMA

Security Posture 3

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

Corduroy Labs Authentication

1 scheme

SECURITY

Corduroy Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Corduroy Labs Vulnerability Disclosure

security.txt · contact published

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 6

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

LLMsTxt

MCPServer

WellKnown

LLMsTxt

AgentSkills

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Lifecycle

Lifecycle

Conformance

Conformance

Build 3

SDKs, sample code, and the tooling you integrate with

IntegrationEdges

IntegrationEdges

SDKs

SDKs

Packages

Packages

Access & Security 4

Authentication, authorization, and security posture

Security

Security

SecurityTxt

SecurityTxt

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

RateLimits

RateLimits

Support

Support

Company 3

The organization behind the API

Website

Website

Blog

Blog

About

About

Other 4

Properties that don't map to a standard resource type

AgentCard

Hosts

RSSFeed

JSONFeed

Source (apis.yml)

aid: corduroy-labs-ai
name: Corduroy Labs
description: 'Corduroy Labs is an AI Architecture Studio in Truckee, California (est. 2025) that builds agent-first foundations
  on open systems for small and mid-size organizations: role inboxes, CRM records, routing, approval gates and workflow automation
  that people and agents share. It publishes an open library of MIT-licensed Agent Skills, RSS/JSON feeds, an llms.txt, and
  a public streamable-HTTP MCP server (ai.corduroy-labs/updates, https://corduroy-labs.ai/mcp) that exposes list_updates and
  get_update over its JSON Feed.'
url: https://artifacts.apis.io/corduroy-labs-ai/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-04 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: covered
  source:
  - authentication
  - rate-limits
  - security
  generated: '2026-11-13'
  method: derived
specificationVersion: '0.20'
created: '2026-11-04'
modified: '2026-11-04'
tags:
- Company
- Artificial Intelligence
- AI Agents
- Agentic Operations
- MCP
- Agent Skills
- Open Source
- Workflow Automation
- Consulting
tags_raw:
- Company
- Artificial Intelligence
- AI Agents
- Agentic Operations
- Model Context Protocol
- Agent Skills
- Open Source
- Workflow Automation
- Consulting
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
image: https://corduroy-labs.ai/og.png
common:
- type: RateLimits
  url: rate-limits/corduroy-labs-ai-rate-limits.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Conventions
  url: conventions/corduroy-labs-ai-conventions.yml
- type: Security
  url: security/corduroy-labs-ai-vulnerability-disclosure.yml
- type: Lifecycle
  url: lifecycle/corduroy-labs-ai-lifecycle.yml
- type: Conformance
  url: conformance/corduroy-labs-ai-conformance.yml
- type: LLMsTxt
  url: llms/corduroy-labs-ai-llms.txt
- type: AgentCard
  url: a2a/corduroy-labs-ai-a2a.yml
- type: MCPServer
  url: mcp/corduroy-labs-ai-mcp.yml
- type: SecurityTxt
  url: well-known/corduroy-labs-ai-security.txt
- type: WellKnown
  url: well-known/corduroy-labs-ai-well-known.yml
- type: Hosts
  url: hosts/corduroy-labs-ai-hosts.yml
- type: IntegrationEdges
  url: integrations/corduroy-labs-ai-integration-edges.yml
- type: SDKs
  url: packages/corduroy-labs-ai-packages.yml
- type: Packages
  url: packages/corduroy-labs-ai-packages.yml
- type: Website
  url: https://corduroy-labs.ai/
- type: Documentation
  url: https://corduroy-labs.ai/mcp/
- type: Blog
  url: https://corduroy-labs.ai/updates/
- type: RSSFeed
  url: https://corduroy-labs.ai/feed.xml
- type: JSONFeed
  url: https://corduroy-labs.ai/feed.json
- type: LLMsTxt
  url: https://corduroy-labs.ai/llms.txt
- type: AgentSkills
  url: https://corduroy-labs.ai/skills/
- type: About
  url: https://corduroy-labs.ai/about/
- type: Support
  url: https://corduroy-labs.ai/contact/
- type: VulnerabilityDisclosure
  url: security/corduroy-labs-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/corduroy-labs-ai-domain-security.yml
apis:
- aid: corduroy-labs-ai:corduroy-labs-mcp
  name: Corduroy Labs MCP Server
  description: Public, unauthenticated streamable-HTTP Model Context Protocol server (serverInfo corduroy-labs 1.28.1, protocol
    2025-06-18) that projects the studio's JSON Feed into two tools, list_updates and get_update; documented as rate-limited
    to 60 requests per hour per IP. A live tools/list on 2026-11-04 returned exactly those two tools (no prompts, no resources).
    No OpenAPI, AsyncAPI or GraphQL contract is published.
  humanURL: https://corduroy-labs.ai/mcp/
  baseURL: https://corduroy-labs.ai/mcp
  tags:
  - MCP
  - JSON Feed
  tags_raw:
  - Model Context Protocol
  - JSON Feed
  properties:
  - type: Documentation
    url: https://corduroy-labs.ai/mcp/
  - type: JSONSchema
    name: MCP tools/list (live, 2026-11-04)
    url: json-schema/corduroy-labs-ai-mcp-tools-list.json
  - type: JSONFeed
    url: https://corduroy-labs.ai/feed.json
x-coverage:
  state: covered
  reason: identity-verified
  detail: Name, description and pointers taken from corduroy-labs.ai pages (title "Corduroy Labs - Agentic-First Foundations")
    and the MCP registry entry ai.corduroy-labs/updates. No terms, privacy, pricing, GitHub org or sign-up page published
    (/privacy and /terms 404).
  evidence:
  - url: https://corduroy-labs.ai/
    status: 200
  - url: https://corduroy-labs.ai/about
    status: 200
  - url: https://corduroy-labs.ai/contact
    status: 200
  - url: https://corduroy-labs.ai/updates
    status: 200
  - url: https://corduroy-labs.ai/skills/
    status: 200
  - url: https://corduroy-labs.ai/mcp/
    status: 200
  - url: https://corduroy-labs.ai/feed.xml
    status: 200
  - url: https://corduroy-labs.ai/feed.json
    status: 200
  - url: https://corduroy-labs.ai/llms.txt
    status: 200
  - url: https://corduroy-labs.ai/og.png
    status: 200
  - url: https://corduroy-labs.ai/privacy
    status: 404
  - url: https://corduroy-labs.ai/terms
    status: 404
  - url: https://registry.modelcontextprotocol.io/v0/servers?search=corduroy
    status: 200
x-enrichment:
  date: '2026-11-04'
  status: enriched
  artifacts_added: 27
  pass: modular-v1
  engine: identity=anthropic,contract=anthropic,surfaces=anthropic,docs=anthropic,regulatory=anthropic

Corduroy Labs API — frequently asked questions

Does Corduroy Labs have an API?

Yes. APIs.io lists 1 API from Corduroy Labs, including Corduroy Labs MCP Server.

How do I authenticate with the Corduroy Labs API?

Corduroy Labs documents its authentication (1 scheme). The details are profiled on APIs.io as Corduroy Labs Authentication.

Does Corduroy Labs have an MCP server?

Yes. APIs.io lists 1 MCP server for Corduroy Labs: Public, unauthenticated streamable-HTTP MCP server run by Corduroy Labs. It exposes the studio's JSON Feed (https://corduroy-labs.ai/feed.json) as two read-only tools. The docs page lists the transpor

Is the Corduroy Labs API ready for AI agents?

Corduroy Labs has a Kin Score of 22.1 out of 100 (emerging) and an Agent Readiness score of 17.1 (agent-aware), scored by API Evangelist on 2026-11-13.

Work with this as data

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get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
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