AI Agent Network: Autonomous MCP Server Discovery & Job Matching Platform

🎯 What Makes This Project Different

Imagine a digital ecosystem where AI agents don't just wait for instructions—they actively explore, discover, and connect opportunities. The AI Agent Network is a modular, multi-language framework that autonomously discovers Model Context Protocol (MCP) servers through unconventional search methodologies (what we call "Not Human Search") and simultaneously matches AI/ML professionals with relevant job opportunities via the AI Dev Jobs integration.

This isn't another API wrapper. It's a self-organizing intelligence layer that transforms passive API consumption into active opportunity discovery. Think of it as a neural bridge between emerging MCP servers (the infrastructure of tomorrow's AI) and the human talent that builds them.

🔍 Core Architecture

graph TD
    A[User Profile Config] --> B[Discovery Engine]
    B --> C[MCP Server Scanner]
    B --> D[Job Matcher]
    C --> E[Not Human Search]
    C --> F[Protocol Validator]
    D --> G[AI Dev Jobs API]
    D --> H[Skill Gap Analyzer]
    E --> I[Server Registry]
    F --> I
    G --> J[Job Recommendations]
    H --> J
    I --> K[Agent Orchestrator]
    J --> K
    K --> L[Python Client]
    K --> M[TypeScript Client]
    L --> N[Auto-Connect Workflows]
    M --> N

🚀 Quick Start & Installation

Prerequisites

• Python 3.10+ or Node.js 18+ (the framework supports both)
• OpenAI API key (for Claude integration) or direct Claude API access
• Internet connectivity for server discovery

Installation Steps

1. Download the package using the badge above or clone directly

2. Install dependencies based on your language preference:

   • Python: pip install aiohttp pydantic openai anthropic
   • TypeScript: npm install axios zod openai @anthropic-ai/sdk

3. Configure your profile (see example below)

⚙️ Example Profile Configuration

Create a profile.yaml or profile.json in your working directory:

agent_name: "Discovery-Orchestrator-v1"
search_preferences:
  discovery_method: "autonomous"
  mcp_server_filters:
    - protocol_version: ">=0.3.0"
    - categories: ["inference", "embedding", "tool-calling"]
  job_search:
    roles: ["AI Engineer", "ML Infrastructure", "Prompt Architect"]
    locations: ["remote", "San Francisco", "Berlin"]
    salary_minimum: 120000

language_bindings:
  primary: "python"
  secondary: "typescript"

integrations:
  openai_api: ${OPENAI_API_KEY}
  claude_api: ${ANTHROPIC_API_KEY}
  custom_webhook: "https://your-server.com/agent-callback"

orchestration:
  discovery_interval_minutes: 30
  auto_connect_threshold: 0.85
  max_concurrent_searches: 5

💻 Example Console Invocation

Once configured, launch the discovery agent:

# Python version
python agent_discovery.py --config profile.yaml --mode autonomous

# TypeScript version
npx ts-node agent_discovery.ts --config profile.json --mode autonomous

Sample output you'll see:

[2026-01-15 14:32:01] 🧠 Agent 'Discovery-Orchestrator-v1' activated
[2026-01-15 14:32:03] 🔍 Scanning 47 known MCP server endpoints...
[2026-01-15 14:32:07] ✅ Discovered 3 new MCP servers via Not Human Search
[2026-01-15 14:32:10] 💼 Found 12 AI/ML job matches from AI Dev Jobs
[2026-01-15 14:32:12] 🔗 Auto-connected to server: 'inference-engine-v4'
[2026-01-15 14:32:15] 📨 Applied to 2 jobs matching 'Prompt Architect' profile

💻 Operating System Compatibility

| OS | Status | Python Support | TypeScript Support | Notes | |----|--------|---------------|-------------------+-------| | 🐧 Ubuntu 22.04+ | ✅ Full | 3.10-3.1