Alternatives
Products that do what Four-Leaf MCP does
Interview prep + job search inside the AI you already use
- 1MA
I've been deeply involved in working with AI agents and large language models (LLMs) for a while now. During a recent job search, I found myself repeatedly explaining my skills and experiences to various assistants. Around the same time, I was creating content for my website to help hiring teams understand my capabilities better and make informed decisions. MCP had started to gain momentum and I saw a way to reduce my toil. So I built an MCP server that can effectively communicate my qualifications as a job candidate. This server acts as an AI-powered resume, providing an understanding of my…
2025 · ai.jakegaylor.com
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Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025
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The most performant Ads MCP available to use with Your AI
Mar 2026 · syntermedia.ai
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Author here! Agents are applying to jobs for people right now, with progressively more volume, and there's nothing built for it. So they scrape career pages and fight ATS forms with Playwright/Browser Use, which breaks constantly (or they get bot blocked). Employers get buried in applications that don't fit, candidates hear nothing back, and the resume is now an AI-written thing that another AI scores (which breaks the existing model entirely, btw). OJCP is MCP tools for search and apply, a manifest at /.well-known/ojcp.json so agents can find providers, and schemas that…
25d ago · ojcp.dev
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preppilot AI▲20One platform for coding, resumes & AI interviews
Jul 2026 · ai-interview-app-k9x6.onrender.com
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Built a terminal-based chat application that interact with AI models while keeping full control of chat data. Simple but effective MCP client implementation.
2025 · github.com
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Following some initial feedback, we’ve updated Enlist AI to ensure your preparation never resets. Based on user behavior, we noticed plans were being lost on refresh, so we've implemented local persistence to keep your progress synced. What it does: Enlist AI is a full-pipeline preparation tool that turns any job description into a custom coaching experience. You paste a JD and get a personalized day-by-day study schedule. The "Mock Interview" Flow: Real-time Voice Analysis: You speak your answers out loud. We use your microphone to track performance with sub-second latency. Speech Clarity…
Apr 2026
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Got tired of every MCP example being overly verbose, or needing Docker or Mac-only scripts, so I threw together MCP-123. Point it at a tools.py, run `server.run_server(...)`, and the client auto-discovers/calls functions with OpenAI. I hope this is useful to you all.
2025 · github.com
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We gave the agents a voice. Sorry in advance.
6d ago · fellowgeek.github.io
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Auto-apply that ends on an interview, not an application sent. We rewrite your resume for every role and submit on the company’s own hiring system.
Jul 2026 · aiapplyd.com
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I kept hitting the same wall at work every time we needed to ship an AI feature. What looked like a week of work turned into picking a model, setting up a vector DB, managing embeddings, wiring up chat history, handling retries — none of it was the actual feature. So I built Modular. You register a function that returns your app's data, then call ai.run() for one-shot features or ai.chat() for stateful conversation. Everything else — context management, embeddings, session history, model routing, retries — is handled. MCP-native from day one. Works with Claude, GPT-4o, and Gemini. Still…
Apr 2026 · modular.run
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