A live MCP server for AI assistants
Teach your AI about Jake Gaylor.
Point your assistant at this server and it can read my resume, score my fit against your job description, build the interview, and even email me — no copy-pasting, no stale PDFs.
https://ai.jakegaylor.com/mcp
What your assistant can do here
Connect once, then ask in plain English. The server exposes tools for the whole evaluation — from first look to first contact.
Assess my fit
Paste your job description and get an honest read on where I'm strong and where I'm not, scored against my real experience.
“Is Jake a good fit for this role? [paste job description]”
Build the interview
Generate phone screens, technical deep-dives, system design sessions, or behavioral questions tailored to my background and your focus areas.
“Create a phone screen for Jake focused on Kubernetes and API design.”
Pull the source material
My resume, GitHub, LinkedIn, and website content, served as structured resources your assistant reads directly — always current.
“Summarize Jake's career highlights.”
Reach out
Looks like a match? Your assistant can email me directly from the conversation — you review it, the server sends it.
“Draft and send Jake an email about our staff platform engineer role.”
Connect in under a minute
The server is already hosted and running — nothing to install. Add the endpoint to any MCP-capable client, or use the npm package for clients that only speak stdio.
Streamable HTTP
Recommendedhttps://ai.jakegaylor.com/mcp
SSE
Legacy clientshttps://ai.jakegaylor.com/sse
Client setup
Pick your client. Clients without remote MCP support can run the same server locally via the @jhgaylor/me-mcp npm package.
No MCP client? Copy this instead
Paste the text below into any AI assistant to give it my full background — no tools or special connections needed. Also available at ai.jakegaylor.com/llms.txt.
# Jake Gaylor ## Senior / Staff Engineer & Engineering Leader | I make good teams ship like great ones jhgaylor@gmail.com | 720.453.3994 | https://jakegaylor.com | https://github.com/jhgaylor | https://www.linkedin.com/in/jhgaylor/ Remote First, Will Travel ## Summary I make good teams ship like great ones. 15+ years across SaaS, AI, infrastructure, and IoT, with a core of delivery: finding what slows a team down, rebuilding it into tools the whole team uses, and putting real metrics in place so decisions stop being guesses. Lately deep in AI: autonomous agents at Cloaked, the framework behind Block Party's internal coding bots, and Ravi, a funded agent-native SaaS. ## Professional Experience ### Ravi | Co-Founder | Jan 2026 - May 2026 https://ravi.id Cofounded an agent-native SaaS that lets AI agents manage their own accounts and secrets. - Raised a $400K pre-seed from South Park Commons - Grew to hundreds of users - Shipped the product end to end: a web SaaS and a cross-platform Flutter mobile app on the Apple App Store, built on prototypes started in 2024 - Designed agent-native account, secret, and 2FA management so AI agents can operate their own identities ### Block Party (acquired by DeleteMe) | Staff Software Engineer | May 2025 - Jan 2026 https://www.blockpartyapp.com/ Built internal AI and developer tooling for the engineering org, including the framework behind the company's internal coding bots, until Block Party was acquired by DeleteMe in January 2026. - Designed and built the framework behind the company's internal AI coding bots ### Cloaked Inc | Staff Platform Engineer → Staff Product Engineer | Sep 2022 - May 2025 https://cloaked.app Started in platform engineering (AWS EKS migration, GitOps CI/CD, compliance), then moved into product, building autonomous AI agents and a cross-functional ideation portal that drove a sticky, AI-powered onboarding experience. - Built a GitOps-based CI/CD pipeline that accelerated deployments by 30x - Led the migration from legacy PaaS to AWS EKS, with a multi-account model meeting SOC2, ISO 27001, and 27701 compliance - Built an end-to-end product-analytics stack that enabled data-driven decisions across the company - Built autonomous AI agents with LangChain to automate user account management (auto change password, login, and email) - Turned those AI agents into a core fundraising narrative and a sticky, AI-powered onboarding experience that boosted adoption and retention - Launched a cross-functional ideation portal connecting design, product, engineering, and executives with transparent status tracking ### The Onward Store Steakhouse | Owner / Co-GM | Oct 2021 - Jan 2024 Owned and managed a full-service steakhouse with 7 staff, generating $500K in annual revenue and overseeing P&L, operations, and vendor relations. - Led a team of 7 employees, handling recruitment, training, scheduling, and performance management. - Directed all facets of business operations, achieving $500K in annual revenue through strategic inventory management and cost control. - Designed and implemented operational processes for facility maintenance, vendor partnerships, and quality assurance, driving consistent customer satisfaction. - Managed P&L, budgets, and financial reporting, optimizing expenses and improving profit margins. - Executed marketing and community engagement initiatives to increase local brand awareness and repeat patronage. ### Inception Health | Staff SWE in Developer Experience | Jun 2020 - Jun 2022 Architected AWS CDK infrastructure and tooling for HIPAA-compliant patient care microservices - Led delivery of AWS CDK infrastructure for patient care microservices platform, ensuring HIPAA compliance and deep AWS integration - Collaborated with AWS and partner teams to integrate managed services and accelerate platform development - Championed CDK usage across application tiers, designing IaC patterns for teams to consume and interact with the platform - Implemented CI/CD pipelines for mobile apps, automating TestFlight and App Store releases through Git, enabling self-serve deployments - Trained and mentored product and mobile development teams on CDK, serverless architectures, and CI/CD workflows, fostering autonomy ### CyberGRX (now ProcessUnity) | Senior Platform Engineer | Dec 2018 - Jun 2020 https://www.cybergrx.com Led cloud-native CI/CD vision and implementation for AWS and Kubernetes - Led vision on cloud-native CI/CD pipelines for AWS and Kubernetes - Developed custom resource using CoreOS operator SDK for orchestrating blue/green deployments - Redesigned build and deploy process that dramatically improved team productivity - Mentored software engineers in best practices for building and deploying software - Grew into Staff Engineer role by owning large-scope initiatives, collaborating with the Tech Lead to drive interactions across the organization and unblock progress ### Cardfree | Senior Cloud Platform Engineer | Jan 2018 - Dec 2018 Managed large-scale PCI-compliant C# installation in AWS - Managed a large-scale PCI-compliant C# installation in AWS - Architected hybrid AMI build and deploy platform using Packer and Vagrant, enabling consistent Windows and Linux EC2 deployments for C# and Ruby services - Standardized infrastructure-as-code practices to pave the way for open-source .NET migration - Developed and launched a structured PCI-compliant incident response program, replacing ad-hoc Slack alerts with a streamlined IR workflow without excessive paperwork ### Protectwise, Inc (Acquired by Verizon) | Senior DevOps Engineer | Aug 2016 - Jan 2018 Operated SRE for petabyte-scale data ingestion platform - Managed SRE for massive scale data ingestion platform with thousands of Cassandra nodes and petabytes in S3 - Administered $10M+/yr production AWS environment using Infrastructure as Code ### Food Service Warehouse | DevOps Engineer | Jun 2015 - Mar 2016 Built Kubernetes clusters on vSphere using CoreOS technologies - Implemented Kubernetes clusters on vSphere using CoreOS, fleet, etcd, and flannel - Accelerated release cycles for Node.js services with container orchestration ### Mississippi State University | Software Developer | Jun 2010 - Jun 2014 Created grant proposals and custom software for research initiatives - Created grant proposals to fund custom software for university research initiatives - Developed software for tracking 'human sensors' through natural disasters including Hurricane Sandy ## Skills ### AI Engineering (Advanced) LangChain, Crewai, Custom Agent Framework, MCP Servers, LLM Integration ### Cloud Infrastructure (Expert) AWS, Kubernetes, EKS, GKE, vSphere, Terraform, Infrastructure as Code, Cloudflare ### CI/CD & DevOps (Expert) GitOps, ArgoCD, Argo Workflows, Jenkins, Github Actions, Gitlab CI, Continuous Deployment ### Programming Languages (Advanced) Javascript, Python, Bash, Go, Ruby, Dart ### Databases (Advanced) Neo4j, PostgreSQL, Timestream, MongoDB, Redis, Etcd, Zookeeper, Cassandra, DynamoDB ### Distributed Systems (Expert) Kafka, RabbitMQ, AWS IoT, Big Data, Spark, EMR ### Monitoring (Advanced) Prometheus, CloudWatch, Sensu, Pagerduty, Logstash, Kibana, Grafana, Graphite ### Product Engineering (Expert) Data-driven Iteration, Feature Development, User Feedback Loops, MVP Development, Product Analytics ### Product & Business (Advanced) Roadmapping, Customer Discovery, P&L Management, Go-to-Market Strategy, Fundraising ## Projects ### MCP Working Group Contributions https://github.com/jhgaylor Active participant in Model Context Protocol (MCP) community development - Member of the MCP Hosting Working Group - Developed strategies for deploying and running MCP servers at scale - Contributed to Dart SDK, Express tool for binding to MCP servers - Developed various MCP servers (Hirebase, Candidate Job Search, Text Extraction) - Created GitOps tool for MCP deployments - Operate publicly available MCP servers for community testing ### CareerFlick LLM-Driven Mobile App Developed a mobile application with a Tinder-like LLM interface - Built intuitive swipe-based interface for interacting with LLMs - Implemented AI-driven content generation and response system - Created responsive mobile-first user experience ### Hirebase MCP Server https://github.com/jhgaylor/hirebase-mcp A Python MCP server for Hirebase.org's API - Built a Python-based Model Context Protocol (MCP) server for searching jobs on Hirebase.org - Dockerized the service and set up GitOps CI/CD pipelines for automated builds and releases ### Express MCP Handler https://github.com/jhgaylor/express-mcp-handler Package to simplify MCP handling in Express.js - Developed Express middleware in TypeScript to streamline MCP request handling - Authored full type definitions and robust error handling for production-grade reliability - Configured CI/CD pipelines to automate code validation and package publishing ### Node Candidate MCP Server https://github.com/jhgaylor/node-candidate-mcp-server A TypeScript library to build customizable candidate MCP servers - Authored a reusable library enabling developers to integrate their own candidate data into MCP flows - Published as an npm package for easy adoption and extension by other teams ### mcp_dart https://github.com/leehack/mcp_dart Dart SDK implementation of the Model Context Protocol (MCP) - Contributed stream based support for in-process MCP servers - Add support for running MCP servers in flutter apps - Authored Dart examples to accelerate SDK adoption ## References "Jake is a force for good unlike any other. He migrated our infra to a cheaper and more scalable system, crafted a CI pipeline that accelerated deploys by 30x, and taught the whole company how to make data-driven decisions by building and showcasing an entire product analytics stack. And that was just his first 6 months." - Director Platform Engineering, Cloaked "I watched Jake redo a build and deploy process over the span of 3 days, whip up a presentation, and get every engineer in the org up to speed using it to deploy new services, a moment I'll never forget because our productivity EXPLODED afterwards." - Software Engineer, CyberGRX "I also wanted to second (third? Fourth?) Jake's skills here. I don't have anything unique to add as everyone else has already covered it, but this man will help you achieve what you need." - Senior Platform Engineer, Inception Health "Jake worked in the pit with [the operations team] and everyday came in with killer energy. Everyone else told us how to work around problems. Jake built us better tools." - Magician, Magic "Jake was instrumental in building our cloud-native security platform. His technical leadership helped shape our architecture and team practices." - DevOps Engineer, Protectwise
Under the hood
This site speaks the Model Context Protocol —
the open standard that lets AI assistants call external tools and read external data.
Anything that speaks MCP can use it. The server itself is open source:
@jhgaylor/candidate-mcp-server.
Tools — actions your assistant can take
assess_role_fit
generate_interview_questions
contact_candidate
get_resume_text / get_resume_url
get_github_url / get_linkedin_url / get_website_url
get_website_text
Resources & prompts — data it can read
candidate-info://resume-text
candidate-info://website-text
candidate-info://*-url
resume-url, linkedin-url, github-url, website-url).
Built-in prompts
evaluate_job_fit, generate_phone_screen, get_candidate_background,
summarize_career_highlights, assess_tech_proficiency,
assess_product_collaboration, and assess_startup_fit.
Let your assistant run the first screen.
Connect it, paste your job description, and find out in minutes whether we should talk. If the answer is yes — it knows how to reach me.