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rangarajan19/README.md

Hi, I'm Rangarajan πŸ‘‹

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

LinkedIn India


πŸš€ What I'm building

A small MCP-first agent framework where every tool comes from an MCP server, with guardrails at the tool layer: dry-run, human approval, argument rules and tool allow-lists.

  • Own agent loop with tracing and a step limit; tool errors go back to the model so it can recover
  • Works with Gemini and free OpenRouter models, with automatic retry and model fallback
  • Ships two example agents: issue triage (GitHub MCP server plus its own MCP server) and a web research agent
  • Tested with 47 automated tests running in CI, and honest about what is and isn't verified in its README

Chat-driven API testing: a local LLM agent (LangGraph + Ollama) routes requests, while deterministic pytest checks do the actual testing, so the LLM steers and the assertions stay reliable.


🀝 Open-source contributions

Project Merged contribution
HelpCode-ai/anythingmcp #698: added an 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

🧰 Tools I work with

Python MCP LangGraph Ollama Gemini OpenRouter pytest GitHub Actions

πŸ”Ž 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.

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