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@vrknetha
vrknetha
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Ravi Kiran Vemula vrknetha

VP of Engineering @ CAW | Driving Enterprise AI Transformation | Building Self-Hosted Agentic Development Solution | MCP Contributor

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vrknetha/README.md
Header Wave

RAVI KIRAN

VP of Engineering @ CAW | MCP Ecosystem Builder | AI Agent Architect

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🔥 Featured Open Source Projects

Creating tools that bridge AI ecosystems and give LLMs real capabilities

FireCrawl MCP Server

FireCrawl MCP Server
Stars

Led the initial implementation of this powerful web scraping tool for AI assistants. Enables Claude, Cursor, and other LLMs to browse the web, extract content, and perform batch operations.

LangChainJS-MCP-Adapters

LangChainJS MCP Adapters
Stars

Adapters for integrating MCP tools with LangChain.js applications, supporting both stdio and SSE transports with custom headers for authentication.

More Coming Soon!

Currently Building:
- Self-hosted agentic development solutions
- AI-powered code review tools
- Test generation agents
- MCP ecosystem extensions


👨‍💻 About Me

I'm on a mission to transform enterprise development with AI. By day, I lead AI innovation at CAW, architecting intelligent systems for code review and test generation. By night, I contribute to the Model Context Protocol (MCP) ecosystem, building bridges that connect AI assistants to real-world capabilities.

My passion lies in creating tools that make AI practical and accessible. I believe the future of software development is AI-assisted, but it's only as good as the tools we build today.

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🛠️ My Tech Arsenal

Tools and technologies I work with to build intelligent systems

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TypeScriptJavaScriptPythonNode.js

AI & ML

LangChainClaudeOpenAIAI SDKMCP

Web & Cloud

ReactAWSDocker

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🚀 Current Initiatives

Building the future of AI-assisted development

Code Review

AI Code Review Agent

Building an autonomous system that reviews code like a senior developer, providing intelligent feedback and suggestions.

Test Generation

Smart Test Generation

Developing agents that understand business logic to automatically generate comprehensive test suites with minimal human input.

MCP Ecosystem

MCP Ecosystem Building

Contributing to the Model Context Protocol standard and creating libraries that bridge different AI frameworks.

Self-Hosted AI

Enterprise AI Transformation

Leading initiatives to develop self-hosted, secure AI infrastructure for enterprise applications.

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📝 AI Development Insights

I write about AI development, testing strategies, and enterprise tools onMedium

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🤝 Let's Connect

I'm always interested in collaborating on innovative AI projects and discussing the future of development

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  1. aisdk-mcp-bridgeaisdk-mcp-bridgePublic

    Bridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.

    TypeScript 11

  2. langchain-ai/langchainjs-mcp-adapterslangchain-ai/langchainjs-mcp-adaptersPublic

    Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.

    TypeScript 55 6

  3. modelcontextprotocol/serversmodelcontextprotocol/serversPublic

    Model Context Protocol Servers

    JavaScript 24.9k 2.5k

  4. mendableai/firecrawl-mcp-servermendableai/firecrawl-mcp-serverPublic

    Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

    JavaScript 1.8k 155


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