Pavan Madduri — Personal Knowledge MCP Server

A Model Context Protocol (MCP) server that exposes my professional profile — certifications, industry articles, open source contributions, and live GitHub activity — as a queryable API for AI agents.

Why? Instead of a static resume, this is a Personal Knowledge API. Any AI agent (Claude, Gemini, Copilot) can query my career data in real-time. This is AI infrastructure, not just AI usage.

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What's Inside

Resources (Static Data)

Resource URI	Description
profile://about	Bio, links, expertise areas
profile://certifications	CNCF Golden Kubestronaut (all 15 certs + LFCS)
profile://articles	9 industry articles (CNCF Blog, IEEE ComSoc, CloudNativeNow, PlatformEngineering.com, d7y.io)
profile://open-source-summary	26 PRs across 15 projects
profile://contributions/cncf	Detailed CNCF project PRs
profile://contributions/aswf	Detailed ASWF project PRs

Tools (Dynamic Functions)

Tool	Description
search_contributions(project)	Search contributions by project name
search_articles(keyword)	Search industry articles by keyword, category, or publication
get_expertise(domain)	Check expertise in a technical domain
get_eb1a_evidence(criterion)	Retrieve EB-1A extraordinary ability evidence
get_github_activity(repo, limit)	Live GitHub PR data via API
get_github_stats()	Live GitHub profile statistics
get_profile_summary()	One-page comprehensive summary

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Quick Start

Prerequisites

• Python 3.11+
• uv (recommended) or pip

Install & Run

# Clone
git clone https://github.com/pmady/pavan-profile-mcp.git
cd pavan-profile-mcp

# Option A: uv (recommended)
uv sync
uv run server.py

# Option B: pip
pip install -e .
python server.py

Environment Variables (Optional)

# For higher GitHub API rate limits (optional — works without it)
export GITHUB_TOKEN="ghp_your_token_here"

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Connect to Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "pavan_profile": {
      "command": "uv",
      "args": ["--directory", "/path/to/pavan-profile-mcp", "run", "server.py"]
    }
  }
}

Restart Claude Desktop. You'll see the tools appear in the MCP panel.

Example Prompts

• "What are Pavan's contributions to Dragonfly?"
• "Show me his published articles on AI infrastructure"
• "What EB-1A evidence does Pavan have for original contributions?"
• "Get his latest GitHub activity"
• "Does he have expertise in GPU scheduling?"

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Connect to Other Clients

Cursor / Windsurf

Add to your MCP config:

{
  "pavan_profile": {
    "command": "uv",
    "args": ["--directory", "/path/to/pavan-profile-mcp", "run", "server.py"]
  }
}

Render (Public Hosting)

One-Click Deploy:

This server deploys on Render with HTTP transport for remote access.

Live Production Server: https://pavan-profile-mcp.onrender.com/mcp

Connect any MCP client to the remote endpoint:

{
  "mcpServers": {
    "pavan_profile": {
      "url": "https://pavan-profile-mcp.onrender.com/mcp"
    }
  }
}

Manual deployment:

1. Fork this repo
2. Go to Render Dashboard
3. Click "New" → "Blueprint"
4. Connect your forked repo
5. Render auto-detects render.yaml and deploys
6. Your MCP endpoint will be at https://<your-service-name>.onrender.com/mcp

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Architecture

AI Agent (Claude / Gemini / Copilot)
        │
        ▼
┌─────────────────────────────┐
│   MCP Protocol (stdio/SSE)   │
├─────────────────────────────┤
│   FastMCP Server            │
│                             │
│   Resources:                │
│   ├── profile://about       │
│   ├── profile://certs       │
│   ├── profile://articles    │
│   └── profile://oss-summary │
│                             │
│   Tools:                    │
│   ├── search_contributions  │
│   ├── search_articles       │
│   ├── get_expertise         │
│   ├── get_eb1a_evidence     │
│   ├── get_github_activity ──┼──► GitHub API (live)
│   ├── get_github_stats    ──┼──► GitHub API (live)
│   └── get_profile_summary   │
│                             │
│   Data: data/profile.json   │
└─────────────────────────────┘

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Project Structure

pavan-profile-mcp/
├── server.py              # MCP server — all resources and tools
├── data/
│   └── profile.json       # Structured profile data (certs, articles, PRs)
├── Dockerfile             # Railway/Render deployment
├── pyproject.toml         # Python project config
├── SKILL.md               # Smithery skill definition
├── smithery.yaml          # Smithery.ai config
├── claude_desktop_config.example.json
├── README.md
└── LICENSE

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About the Author

Pavan Madduri — Senior DevOps/Platform Engineer

• CNCF Golden Kubestronaut (all 15 CNCF certifications + LFCS)
• Published author on CNCF Blog, IEEE ComSoc, CloudNativeNow, PlatformEngineering.com
• 26 PRs across 15 CNCF & ASWF projects (Dragonfly, Volcano, KEDA, Kubernetes, TiKV, OpenColorIO, and more)
• Dragonfly Community Member (CNCF Incubating)

GitHub · LinkedIn · Blog

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License

MIT