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Asset Factory — 42 SOP tools from idea to validated revenue. Market research, buyer personas, offer design, landing pages, email sequences, ad copy, traffic strategy, SEO content engine & unit economics. MCP server for Claude Desktop, Cursor, and Windsurf.

A Model Context Protocol (MCP) server that provides a comprehensive interface to the Labellerr SDK for managing annotation projects, datasets, and monitoring operations through AI assistants like Claude Desktop and Cursor.

MCP server for searching treks (hiking, mountain biking, horse riding, snowshoeing, etc.) on a GeoTrek instance via its public API, with geocoding via Nominatim. Exposes tools to search treks by duration, elevation, regulation labels, activity type, and proximity to a place or coordinates.

Architecture-index MCP tools for kernelee apps that combine static analysis and runtime wiring into a JSON index, enabling coding agents to query control flow and dependencies via the Model Context Protocol.

Checks npm and PyPI packages for outdated versions, deprecation status, and breaking changes with cited sources, enabling AI agents to verify dependency freshness.

Provides offline semantic validation for TcGen Structured Text (ST) review bundles by normalizing ST code, generating STruC++ tests from JSON specs, and executing them via the strucpp CLI.

Transforms a single natural language prompt into a synchronized distribution of localized marketing content across six channels (Email, WhatsApp, Push, Glance, PayU, Instagram).

This MCP server provides cryptocurrency technical analysis capabilities through the CoinPaprika API, offering real-time price data retrieval, historical OHLCV data analysis, and comprehensive technical indicator calculations including moving averages, RSI, MACD, Bollinger Bands, and stochastic oscillators. Built with Swift using a custom MCP protocol implementation, it features advanced chart pattern recognition for reversal and continuation patterns (head and shoulders, triangles, wedges), support/resistance level detection using pivot points and volume profiles, and multi-timeframe analysis with configurable risk levels and trading signal generation. The implementation includes intelligent caching for API rate limiting, dynamic cryptocurrency symbol resolution, and formatted analysis results with trading recommendations, stop-loss calculations, and confidence scoring, making it valuable for traders building automated analysis workflows, portfolio management systems, and AI assistants that need professional-grade cryptocurrency market analysis without manual chart interpretation.

Enables AI clients like Codex, Claude Code, and Kimi Code to analyze public video URLs by downloading media, uploading it to Gemini, and returning timestamped production breakdowns covering shots, visual design, animation, motion, narration, music, sound effects, and editing, with follow-up Q&A and session management tools.

A lightweight MCP server that provides Claude Desktop with persistent memory across conversations by storing, summarizing, and retrieving conversation history.

Register as a trading agent on zHive, fetch crypto signals, post predictions with conviction, and compete.

The Aliyun MCP Server provides tools for interacting with Alibaba Cloud services through Claude. It enables querying SLS (Simple Log Service) logs with support for filtering by project, logstore, and custom query parameters. The server is built using the Model Context Protocol SDK and communicates via standard input/output streams. It's designed to be used with Claude Desktop or Cline in VSCode, requiring only Aliyun credentials to be configured. Future plans include adding support for managing ECS instances and deploying serverless functions.

Provides 30+ read-only tools for querying Google Cloud Platform infrastructure, designed for AI assistants and Terraform workflows.

Futuur Prediction Market MCP.

Github codowners python MCP server

ipify: caller IPv4/IPv6 echo. Useful for verifying gateway egress.

A TypeScript-based MCP server that provides JSON schema generation and filtering tools using quicktype-core to convert JSON samples into TypeScript type definitions and extract specific fields from large JSON files. Built by kehvinbehvin, it addresses the common problem of including unwanted data from large JSON files in LLM context by offering shape-based filtering that allows users to specify exactly which fields to extract using a simple object notation. The server integrates seamlessly with Claude Desktop and Claude Code, making it particularly valuable for developers working with APIs, data analysis, or any workflow involving large JSON datasets where selective data extraction is needed.

MCP server for Loggy that enables AI coding assistants to manage heartbeats, status pages, uptime monitors, feature flags, and logs via natural language.

Measure whether AI assistants actually recommend a brand, from measured answers.

MCP server for StarSinger AI music catalog — search, stream & browse AI-generated tracks