Jake Gaylor

Jake Gaylor is a software engineer (platform engineering, Kubernetes, developer tooling) whose personal site publishes an agent-native representation of his resume. ai.jakegaylor.com serves a hosted Model Context Protocol server (Streamable HTTP at /mcp, a legacy SSE transport, and the same server as the npm stdio package @jhgaylor/me-mcp) with 12 tools, 6 resources and 7 prompts; an Agent2Agent (A2A) agent published at /.well-known/agent-card.json - JWS-signed, served in 0.3 and 1.0 shapes negotiated on the A2A-Version header - with six skills; and an llms.txt. Every surface answers anonymously: read the resume and structured screening preferences, assess role fit against a job description, generate interview questions, read live intro-call availability and create a pending-confirmation booking, or relay a message by email. The server is open source (MIT) at github.com/jhgaylor/ai-jakegaylor-com.

Jake Gaylor is listed with 2 APIs on the APIs.io network. Tagged areas include Company, Agents, AI Agents, A2A, and MCP.

Jake Gaylor’s developer surface includes documentation, engineering blog, authentication, and 17 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

18.5/100 emerging ▬ flat Agent 18/100 agent aware Front door AI 3/6 light Heartbeat 40/100 going silent saas Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

AccessOpen

2 APIs 1 MCP Servers 2 Agent Skills

Company Agents AI Agents A2A MCP Hiring Recruiting Resume SchedulingPersonal Agent

Kin Score

Kin Score How this is scored →
scored 2026-11-02 · rubric v0.26.0

Composite quality — 18.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 4.4 / 17

Access Clarity 0.0 / 17

Operational Transparency 2.9 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 2.5 / 15

Agent readiness — 18/100 · 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 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 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)
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
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)

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 0.0 — up to +20.0 composite points
Developer Ergonomics scores 25.6 — up to +14.9 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/jakegaylor-com/apis.yml: open an issue on github.com/api-evangelist/jakegaylor-com 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 →

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
AI Agents (A2A agent cards)	undeclared	-	-	1

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 2

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)

APIs 2

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

Jake Gaylor MCP Server

Hosted MCP server exposing Jake Gaylor's resume, links and website text as resources and tools, structured screening preferences, an LLM-backed role-fit assessment and interview...

Jake Gaylor A2A Agent

A2A agent representing Jake Gaylor, discovered at /.well-known/agent-card.json on ai.jakegaylor.com (and as a static copy on jakegaylor.com) with a JSON-RPC interface at /a2a se...

MCP Servers 1

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

Jake Gaylor MCP Server

Hosted Model Context Protocol server that makes Jake Gaylor's resume, links, screening preferences and calendar legible to AI assistants: read tools, an LLM-backed role-fit asse...

MCP SERVER

Agent Skills 2

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

evaluate-candidate-fit

AGENT SKILL

schedule-intro-call

AGENT SKILL

Pricing Plans 1

Published pricing tiers and plan structures.

Jakegaylor Com Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Jakegaylor Com Rate Limits

1 limits

RATE LIMITS

Security Posture 2

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

Jakegaylor Com Authentication

0 schemes

SECURITY

Jakegaylor Com Domain Security

TLSv1.3

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 5

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

MCPServer

AgentSkill

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conformance

Lifecycle

Conventions

ErrorCatalog

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubRepository

GitHubRepository

Packages

Packages

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 1

Pricing, plans, and the legal terms of use

Plans

Plans

Company 3

The organization behind the API

BlogRSS

BlogRSS

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

AgentCard

AgentCard

Source (apis.yml)

aid: jakegaylor-com
name: Jake Gaylor
description: 'Jake Gaylor is a software engineer (platform engineering, Kubernetes, developer tooling) whose personal site
  publishes an agent-native representation of his resume. ai.jakegaylor.com serves a hosted Model Context Protocol server
  (Streamable HTTP at /mcp, a legacy SSE transport, and the same server as the npm stdio package @jhgaylor/me-mcp) with 12
  tools, 6 resources and 7 prompts; an Agent2Agent (A2A) agent published at /.well-known/agent-card.json - JWS-signed, served
  in 0.3 and 1.0 shapes negotiated on the A2A-Version header - with six skills; and an llms.txt. Every surface answers anonymously:
  read the resume and structured screening preferences, assess role fit against a job description, generate interview questions,
  read live intro-call availability and create a pending-confirmation booking, or relay a message by email. The server is
  open source (MIT) at github.com/jhgaylor/ai-jakegaylor-com.'
deliveryModel:
  model: saas
  license_evidence:
    not_product:
    - jhgaylor/ai-jakegaylor-com
  open_source: unknown
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: low
  source:
  - pricing
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: unknown
  onboarding: open
  trial: false
  try_now: false
  public: true
  gated: none
  gated_source:
  - onboarding
  label: Open access
  confidence: medium
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-11-02'
  method: derived
image: https://jakegaylor.com/images/og-card.jpg?v=7
url: https://raw.githubusercontent.com/api-evangelist/jakegaylor-com/refs/heads/main/apis.yml
x-type: company
x-source: harvest:a2a-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-09-19 (local-v3; was a2a-registry harvest stub)
specificationVersion: '0.20'
created: '2026-09-19'
modified: '2026-10-06'
tags:
- Company
- Agents
- AI Agents
- A2A
- MCP
- Hiring
- Recruiting
- Resume
- Scheduling
- Personal Agent
apis:
- name: Jake Gaylor MCP Server
  description: 'Hosted MCP server exposing Jake Gaylor''s resume, links and website text as resources and tools, structured
    screening preferences, an LLM-backed role-fit assessment and interview-question generator, live intro-call availability
    with pending-confirmation booking, and an email relay. Anonymous; Streamable HTTP (stateful, mcp-session-id) with a legacy
    SSE transport and an npm stdio distribution. Probed live 2026-09-19: 12 tools, 6 resources, 7 prompts.'
  humanURL: https://ai.jakegaylor.com/
  baseURL: https://ai.jakegaylor.com/mcp
  tags:
  - MCP
  - Agents
  - Hiring
  - Resume
  - Scheduling
  properties:
  - type: MCPServer
    url: mcp/jakegaylor-com-mcp.yml
  - type: MCPServer
    url: https://ai.jakegaylor.com/mcp
  - type: Documentation
    url: https://ai.jakegaylor.com/
  - type: SourceCode
    url: https://github.com/jhgaylor/ai-jakegaylor-com
  - type: Authentication
    url: authentication/jakegaylor-com-authentication.yml
  - type: Conventions
    url: conventions/jakegaylor-com-conventions.yml
  - type: ErrorCatalog
    url: errors/jakegaylor-com-problem-types.yml
  - type: RateLimits
    url: rate-limits/jakegaylor-com-rate-limits.yml
  - type: AgentSkill
    url: skills/_index.yml
  image: https://jakegaylor.com/images/og-card.jpg?v=7
- name: Jake Gaylor A2A Agent
  description: 'A2A agent representing Jake Gaylor, discovered at /.well-known/agent-card.json on ai.jakegaylor.com (and as
    a static copy on jakegaylor.com) with a JSON-RPC interface at /a2a serving protocol 1.0 and 0.3 on one URL. Six skills:
    about-jake, candidate-preferences, schedule-intro-call, assess-role-fit, connect-via-mcp, contact-jake. Streaming advertised,
    no notification callbacks; the card is JWS-signed (ES256) against /.well-known/jwks.json. Probed live 2026-09-19: message/send
    and SendMessage both answered without credentials.'
  humanURL: https://ai.jakegaylor.com/
  baseURL: https://ai.jakegaylor.com/a2a
  tags:
  - A2A
  - Agents
  - JSON-RPC
  - Hiring
  properties:
  - type: AgentCard
    url: a2a/jakegaylor-com-a2a.yml
  - type: AgentCard
    url: https://ai.jakegaylor.com/.well-known/agent-card.json
  - type: Documentation
    url: https://ai.jakegaylor.com/
  - type: Authentication
    url: authentication/jakegaylor-com-authentication.yml
  - type: Conventions
    url: conventions/jakegaylor-com-conventions.yml
  - type: ErrorCatalog
    url: errors/jakegaylor-com-problem-types.yml
  image: https://jakegaylor.com/images/og-card.jpg?v=7
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- url: https://jakegaylor.com/feed
  type: BlogRSS
- type: Website
  url: https://jakegaylor.com/
- type: Documentation
  url: https://ai.jakegaylor.com/
- type: Blog
  url: https://jakegaylor.com/blog/
- type: GitHubRepository
  url: https://github.com/jhgaylor/ai-jakegaylor-com
- type: LLMsTxt
  url: llms/jakegaylor-com-llms.txt
- type: LLMsTxt
  url: https://ai.jakegaylor.com/llms.txt
- type: WellKnown
  url: well-known/jakegaylor-com-well-known.yml
- type: AgentCard
  url: a2a/jakegaylor-com-a2a.yml
- type: MCPServer
  url: mcp/jakegaylor-com-mcp.yml
- type: Packages
  url: packages/jakegaylor-com-packages.yml
- type: Conformance
  url: conformance/jakegaylor-com-conformance.yml
- type: Lifecycle
  url: lifecycle/jakegaylor-com-lifecycle.yml
- type: Authentication
  url: authentication/jakegaylor-com-authentication.yml
- type: Conventions
  url: conventions/jakegaylor-com-conventions.yml
- type: ErrorCatalog
  url: errors/jakegaylor-com-problem-types.yml
- type: Plans
  url: plans/jakegaylor-com-plans-pricing.yml
- type: RateLimits
  url: rate-limits/jakegaylor-com-rate-limits.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DomainSecurity
  url: security/jakegaylor-com-domain-security.yml
x-enrichment:
  date: '2026-09-19'
  status: enriched
  artifacts_added: 22
  pass: local-v3
x-a2a:
  verified: true
  probed: '2026-09-26'
  url: https://ai.jakegaylor.com/.well-known/agent-card.json
  grade: conformant
  protocol_version: '0.3'
  control: 404

Jake Gaylor API — frequently asked questions

Does Jake Gaylor have an API?

Yes. APIs.io lists 2 APIs from Jake Gaylor, including Jake Gaylor MCP Server and Jake Gaylor A2A Agent.

How do I authenticate with the Jake Gaylor API?

Jake Gaylor uses bearer-token authentication (0 schemes). The details are profiled on APIs.io as Jakegaylor Com Authentication.

Does Jake Gaylor have an MCP server?

Yes. APIs.io lists 1 MCP server for Jake Gaylor: Hosted Model Context Protocol server that makes Jake Gaylor's resume, links, screening preferences and calendar legible to AI assistants: read tools, an LLM-backed role-fit assessment and interview-qu

Is the Jake Gaylor API ready for AI agents?

Jake Gaylor has a Kin Score of 18.5 out of 100 (emerging) and an Agent Readiness score of 18.0 (agent-aware), scored by API Evangelist on 2026-11-02.

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