Jake Gaylor
Agent representing Jake Gaylor, a software engineer (platform engineering, Kubernetes, developer tooling). Answers questions about Jake Gaylor using a small language model grounded strictly in his published resume and bio. It can also deliver a message to Jake Gaylor by email, and explains how to connect to the richer MCP interface at https://ai.jakegaylor.com/mcp.
AgentCard object. It is an agent card in spirit rather than in schema — useful for
discovery, but an A2A client cannot assume it will parse.
no-protocolVersion
An A2A client finds this agent by fetching the well-known path on the provider's own host. That is what makes an agent card different from every other agent artifact in this catalog: it is provider-published by construction — it cannot be derived, generated, or reconstructed on a provider's behalf.
https://ai.jakegaylor.com/a2a
· transport JSONRPC
non-standard supportedInterfaces
https://ai.jakegaylor.com/a2a
· transport JSONRPC
non-standard supportedInterfaces
About Jake Gaylor about-jake
Answers any question about Jake Gaylor's experience, skills, and background, grounded in his resume and bio. Falls back to returning the complete resume as markdown if the answer cannot be generated.
resumehiringbackgroundsoftware-engineerScreening & Logistics candidate-preferences
Structured screening data as JSON: role types, level, location, relocation, remote preference, work authorization, compensation stance, availability, and machine-readable resume links (JSON Resume at https://jakegaylor.com/resume.json). Ask for "preferences" or "screening data".
screeninglogisticshiringstructured-dataSchedule an Intro Call schedule-intro-call
Books a 30-minute intro call on Jake Gaylor's real calendar. Ask about availability to get open slots, then send `BOOK:
Assess Role Fit assess-role-fit
Send a job description (paste it directly or prefix with "JD:") and get an honest fit assessment grounded in Jake Gaylor's resume: a direct verdict, strengths with cited evidence, gaps named plainly, a logistics check against his screening data, and suggested interview questions. LLM-backed; if the model is unavailable it returns the resume and screening data for the caller to assess directly.
hiringrole-fitassessmentjob-descriptionConnect via MCP connect-via-mcp
Returns instructions for connecting to Jake Gaylor's Model Context Protocol server, which exposes his resume, links, and contact tools to MCP-capable clients. Triggered by any message mentioning MCP.
mcpintegrationmodel-context-protocolContact Jake Gaylor contact-jake
Delivers a message to Jake Gaylor by email. Start the message text with "CONTACT:" and include the opportunity details plus a reply address so Jake Gaylor can respond.
contactemailhiring2026-09-19 from https://ai.jakegaylor.com/.well-known/agent-card.json,
HTTP 200. The body was saved verbatim and is the sole source for
everything on this page — no field is inferred.
View the captured card.
Providers change what they serve; if this card has moved or changed shape,
the provider profile carries the
current state as of the last build.
Work with this as data
Every agent card here is available over the APIs.io API and to AI agents over MCP. A2A Agent Cards is not yet its own endpoint on the v1 API. Reach it through catalog search and the tag graph, or the MCP server.