"Improving React Native Development Experience" matching MCP servers:

Provides accurate meeting transcription with speaker diarization and multilingual support, allowing users to submit audio URLs, poll transcription status, get transcripts, and summarize via MCP tools in their IDE.

An MCP-native document research agent that provides search, summarization, and citation tools for iterative multi-step research, ending in validated structured JSON reports.

Detects AI-generated content and transforms robotic text into natural, human-like writing while improving grammar, readability, and preserving key terminology.

Enables transformation of raw multi-source enterprise findings into comprehensive, structured executive briefings with auto-generated executive summaries, risk registers, decision matrices, and appendix citations. It runs as a native MCP server with zero external dependencies.

Enables AI assistants to save, load, and search conversation context with AI-powered summarization and auto-tagging. Demonstrates semantic intent patterns and hexagonal architecture for maintainable AI-assisted development.

Enables users to turn their current Codex/ChatGPT conversation into a source-backed personal newspaper: they pick public sources, exclusions, language, timezone and interests through native settings, then request an edition that the conversation reads and cites. The server stores and renders validated editions locally with source links, preserving the previous edition when generation fails.

Exposes Karthikeyan K's portfolio (profile, skills, experience, etc.) as MCP tools, resources, and prompts, with optional Gemini-powered AI tools for job matching and portfolio analysis.

AI-powered text formatting and summarization tools for development workflows. Zero-install Streamable HTTP transport — no binary, no npm required.

Provides real-time web research and URL summarization capabilities using Gemini 2.5 Flash with native Google Search grounding. It enables users to perform factual searches and summarize web content directly within MCP-compatible clients like Claude Desktop.

Enables parsing of raw resume text into structured JSON format with organized sections for skills, experience, education, and projects. Uses Google's Gemini AI model to extract and categorize resume information from unstructured text input.

An AI-powered meeting assistant that combines FastAPI backend with React frontend to generate high-quality meeting summaries and provide Q&A functionality using OpenAI and Selenium.

An MCP server that adds real-time web research to Claude Desktop using Gemini 2.5 Flash with native Google Search grounding.