"Improving React Native Development Experience" matching MCP servers:

An MCP server that runs parallel AI agents to analyze React components for performance issues, including unnecessary re-renders, memoization errors, bundle size problems, and profiling concerns.

A Django-native MCP application and tool registration framework inspired by Celery, providing async tool definitions, autodiscovery, and stdio/Streamable HTTP serving built on the official MCP Python SDK.

Enables AI agents to interact with the app via MCP tools and resources, supporting self-improvement through goal-setting and metrics tracking on Cloudflare Workers.

Enables AI agents to generate game-ready 3D assets from reference images with PBR textures, and to retexture meshes the user already owns, while recording full provenance for every generated file.

Enables a ReAct agent to discover and execute registered tools over JSON-RPC, retrieving real data to produce traceable, evidence-backed answers for student academic queries.

Enables AI assistants to search, download, and generate visual content using Freepik APIs, including icon search, image generation, and resource management.

Official MCP server for FormaCV, enabling AI-powered CV formatting, anonymization, tailoring, and ATS push-back from AI agents like Claude Desktop and Cursor.

Hands local video files to Gemini's native video understanding for detailed, timestamped descriptions, and also supports image/media viewing with frame extraction.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Demonstrates agent-native platform onboarding with human-in-the-loop API key provisioning, plus live usage and rate-limit queries via Anthropic Admin APIs.

Provides tools to retrieve the GodPrompt universal system prompt and its components (core skill, protocols, gates, anti-patterns) for AI software development, plus task classification. Designed for progressive context usage.

Enables Claude Code and other AI agents to understand videos and images via Qwen3.7-Plus, supporting native video analysis, image understanding, and convenience tools like summarization and OCR.

Model Context Protocol server for AI Canvas. Search, inspect, and install open-source React and Tailwind components from the aicanvas.me registry directly in your AI editor.

Multi-model vision understanding MCP server that provides unified image analysis for AI assistants without native vision, supporting models like GLM-4.6V, DeepSeek-OCR, Qwen3-VL-Flash, and more.

MCP bridge for Kimi Code native AgentSwarm with inference through ai&. Supports authenticated Streamable HTTP MCP and Docker deployment.

An AI-native MCP server for Saudi e-invoicing that generates ZATCA-compliant invoices, QR codes, and XML from natural language, with validation and Phase 2 signing capabilities.

Enables LLM chat UIs that lack native image generation to create images inline through a Venice AI API endpoint.

EU-native web scraping for AI agents & developers. scrape web pages into markdown, screenshots, metadata, and links, map sites, run asynchronous scrape jobs, and check usage, with EU-hosted, GDPR-aligned processing.

MCP server for ImageAPI AI that lets AI assistants generate high-resolution images, refine prompts for free, and inspect account credits directly in development workflows and chat sessions.

Give your AI agent access to the curated StackFiesta catalog of AI tools for game development.

MCP-native LLM observability. Query your Spanlens traces, stats, cost anomalies, and savings from Cursor, Claude Desktop, or any MCP client. Open source (MIT).

AI-native quantitative trading signal engine for crypto and TradFi perpetuals. Multi-factor composite BUY/SELL/HOLD signals, cross-venue funding rate arbitrage scanning, and market regime detection powered by Hyperliquid data.

An MCP server that recommends UI components and utility methods from private code repositories using AI to enhance code reuse and development efficiency.

DCL Trust Oracle is a deterministic AI audit layer, natively integrated with MCP, that evaluates LLM and agent outputs against configurable policies before and after action. Every verdict is written to a tamper-evident, hash-chained audit log storing only cryptographic metadata — never raw content — enabling privacy-first forensic review.

Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.

Enables MCP clients like Codex CLI and Claude Code to delegate tasks to a local DeepSeek Harness (dsh), with native Web transport for visible progress, model selection, and persistent long-running jobs, plus an ACP-compatible transport.

Protects AI agents from prompt injection and destructive actions while enabling self-improving prompts through a security pipeline.

Open-source TypeScript/Python → Swift compiler for Apple platforms. AI agents write 5–15× less code to generate App Intents, SwiftUI views, WidgetKit widgets, and full apps. MCP server with 6 tools for scaffolding, compiling, validating, and browsing templates.

AI development observability platform. It silently captures structured data from vibe coding sessions via MCP and codifies deviation patterns into project rules to make AI write better code. 100% local and zero runtime dependencies.

Local MCP server that uses a local Ollama model to rewrite rough prompt drafts into structured, optimized prompts for paid APIs, saving tokens and improving output quality.