jakegaylor-com-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| 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) |
Instructions
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.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
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. |
Prompts
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 |
Resources
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 |
TDQS
Scored across 9 tools
Each tool retrieves a distinct piece of information or performs a unique analysis (e.g., resume text vs. LinkedIn URL vs. interview question generation), with no overlap.
All tool names follow a consistent 'verb_noun' pattern (e.g., get_resume_text, get_linkedin_url, generate_interview_questions), making them predictable.
9 tools is well-suited for a focused personal-profile server, covering all needed operations without excess or deficiency.
The server comprehensively covers retrieving personal info, URLs, text, and conducting role assessments and interview prep, with no obvious gaps.