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rangarajan19/README.md

Rangarajan G: building AI agents you can trust

I build AI agents and the tooling that keeps them safe and measurable.
MCP · tool-use guardrails · agent evaluation · API security testing · open source

Portfolio LinkedIn Open to collaboration India

👋 About

Agentic AI engineer working on LLM orchestration, MCP tooling and AI-driven test automation. By day I build MCP tools and multi-agent pipelines for enterprise PLM workflows (Google ADK, Jira MCP, Playwright + Gemini self-healing tests). In my own time I build open-source agent tooling with one rule: the LLM steers, deterministic code and guardrails decide.

🚀 Featured projects

🛡️ agentkit-mcp

Python tests license

MCP-first agent framework with guardrails at the tool layer: dry-run, human approval, argument rules and allow-lists.

  • Own agent loop with tracing and a step limit
  • Gemini + free OpenRouter models, with retry and fallback
  • Issue-triage and web-research example agents
  • 47 automated tests in CI; README states what is not verified yet

🧪 agentic-api-testing

Python LangGraph license

Chat-driven API testing: a local LLM (LangGraph + Ollama) routes requests, deterministic pytest checks do the testing.

  • "Run negative tests for payments", "create defects for the failures"
  • The model can never invent a pass
  • FastAPI backend, Streamlit UI, Docker Compose
  • Runs on a 4 GB GPU with llama3.2:3b

🤝 Open-source contributions

Project Merged contribution
HelpCode-ai/anythingmcp #698: adapter:new scaffolder so new connector adapters start from a template (closes #585)
agentevals-dev/agentevals #224: CI fix so autofixable ruff violations fail the build instead of passing silently

🧰 Tech I work with

Agents and LLMs
MCP LangGraph Google ADK Gemini Ollama OpenRouter

Engineering and testing
Python TypeScript FastAPI Playwright pytest Docker GitHub Actions

🔎 Currently exploring

  • 📏 Measuring agent accuracy across models, not just demoing them
  • 🔐 Agent safety: prompt injection and tool permissions
  • 🐛 Fixing bugs and improving tooling in projects I use

Feedback and collaboration welcome. Reach me on LinkedIn.

Popular repositories Loading

  1. agentic-api-testing agentic-api-testing Public

    Chat-driven API testing: a local LLM agent (LangGraph + Ollama) routes requests, deterministic pytest checks do the testing.

    Python

  2. agentevals agentevals Public

    Forked from agentevals-dev/agentevals

    agentevals is a framework-agnostic evaluations solution based on OpenTelemetry traces

    Python

  3. anythingmcp anythingmcp Public

    Forked from HelpCode-ai/anythingmcp

    🔌 #1 MCP Gateway on GitHub — Connect Claude, ChatGPT, Copilot and any AI client to 200+ ready-to-use connectors, existing MCP servers, and any REST, SOAP, GraphQL or SQL system. Self-hosted, no-cod…

    TypeScript

  4. agentkit-mcp agentkit-mcp Public

    MCP-first agent framework with tool-layer guardrails (dry-run, approval, allow-lists). Gemini free tier. Includes issue triage and research agents.

    Python

  5. rangarajan19 rangarajan19 Public

    Profile README

  6. portfolio portfolio Public

    Portfolio site — Agentic AI Engineer

    JavaScript