Schema | jakegaylor-com-mcp-server

jakegaylor-com-mcp-server

Describes the environment variables required to run the server.

Name	Required	Description
`PORT`	No	HTTP port (default 3000)
`LLM_MODEL`	No	Model override (default openai/gpt-5.4-nano on OpenRouter, gpt-5.4-nano on OpenAI)
`EMAIL_FROM`	No	From-address for Resend (domain must be verified in Resend)
`A2A_BASE_URL`	No	Public base URL baked into the agent card (default https://ai.jakegaylor.com)
`POSTHOG_HOST`	No	PostHog endpoint (default https://us.i.posthog.com)
`OPENAI_API_KEY`	No	LLM for about-jake via OpenAI directly (fallback)
`RESEND_API_KEY`	No	Email via Resend SMTP (preferred when set)
`MAILGUN_API_KEY`	No	Email via Mailgun (fallback when Resend is not configured)
`POSTHOG_API_KEY`	No	Server-side agent-traffic analytics (card fetches, MCP/A2A requests, skill routing); analytics are disabled without it
`OPENROUTER_API_KEY`	No	LLM for about-jake via OpenRouter (preferred when set)

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Functions exposed to the LLM to take actions

Name	Description
get_resume_textA	Get the resume text of the candidate Jake Gaylor
get_resume_urlB	Get the resume URL of the candidate Jake Gaylor
get_linkedin_urlA	Get the LinkedIn URL of the candidate Jake Gaylor
get_github_urlA	Get the GitHub URL of the candidate Jake Gaylor
get_website_urlB	Get the website URL of the candidate Jake Gaylor
get_website_textC	Get the website text of the candidate Jake Gaylor
generate_interview_questionsC	Generate tailored interview questions for Jake Gaylor
assess_role_fitC	Assess Jake Gaylor's fit for a specific role based on job description
get_candidate_preferencesC	Structured screening and logistics data for Jake Gaylor: role types, level, location, relocation, remote preference, work authorization, compensation stance, availability, and machine-readable resume links. Returns JSON.

Interactive templates invoked by user choice

Name	Description
`get_candidate_background`	Get information about Jake Gaylor's experience, skills, and background
`assess_tech_proficiency`	Assess Jake Gaylor's proficiency in specific technologies
`generate_phone_screen`	Generate interview questions for Jake Gaylor based on specific technical areas
`summarize_career_highlights`	Generate a summary of Jake Gaylor's career highlights
`evaluate_job_fit`	Evaluate if Jake Gaylor is a good fit for a specific role
`assess_product_collaboration`	Understand how Jake Gaylor collaborates on product vision and feature prioritization
`assess_startup_fit`	Assess Jake Gaylor's fit for a startup or small team environment

Contextual data attached and managed by the client

Name	Description
`Jake Gaylor Resume Text`
`Jake Gaylor Resume URL`
`Jake Gaylor LinkedIn Profile URL`
`Jake Gaylor GitHub Profile URL`
`Jake Gaylor Website URL`
`Jake Gaylor Website Text`

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/jhgaylor/ai-jakegaylor-com'

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