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A minimal MCP server template with tools for string reversal and basic arithmetic operations.

Enables accessing and managing files from configured folders with filtering and size limits, allowing listing, reading, and searching files via MCP tools and resources.

Enables Claude to access and manage a persistent, human-readable knowledge graph of neurons, with semantic search, memory consolidation, and local ownership.

Production-ready MCP server template for consuming X402-protected APIs with gasless micropayments. Enables AI agents like Claude to make micropayment-based API calls seamlessly using EIP-712 signatures and USDC transfers.

Proof-of-concept MCP server built around select Census Bureau APIs

Enables uploading files to Notion with complete workflow support including file upload, automatic page attachment, and download URL generation. Supports files up to 20MB with custom naming and metadata handling.

Provides integration with Android device preferences through ADB connectivity, enabling developers to read, modify, add, and delete SharedPreferences and DataStore preference files on connected Android devices. Built by Charles Muchene with TypeScript and the Model Context Protocol SDK, the implementation offers seven specialized tools including device discovery, app enumeration, preference file listing, and complete CRUD operations on preference data with support for multiple data types (string, integer, boolean, float, double, long). Features Docker containerization with host ADB server connectivity and comprehensive error handling, making it valuable for Android developers debugging app preferences, QA engineers automating preference testing workflows, and development teams building tools that need programmatic access to Android app configuration data without manual device interaction.

Enables viewing Minecraft Bedrock JSON UI screens without a device, by reading resource packs and rendering the layout.

Turns the 2026 CLCP orientation corpus into a searchable, citation-preserving reference source for TPLCP report work.

Deterministic context selection for AI coding agents. Local memory that compounds across sessions.

MCP server for HikerAPI — 105+ Instagram API tools auto-generated from the OpenAPI spec. Use from Claude Code, Claude Desktop, Cursor, OpenAI Codex, Zed, Windsurf.

Enables AI assistants to explore player profiles, ratings, game archives, leaderboards, clubs, and puzzles via the Chess.com API.

Provides sandboxed file system access with advanced pattern matching and content manipulation capabilities. Features checksum-based file integrity verification, multi-mount directory support, and specialized tools for Obsidian/Markdown workflows including wikilink, tag, and task pattern recognition. Supports line-based and pattern-based file editing with dry-run previews, comprehensive search across directories with regex and fuzzy matching modes, and built-in safety mechanisms to prevent directory traversal attacks.

Enables language models to query Goatcounter web analytics data, including pageviews, visitor statistics, referrers, browsers, and operating systems through a standardized tool interface with automatic rate limit handling.

Anakin agent skills and MCP server for Claude, Codex, Cursor, Copilot, Gemini CLI, Antigravity and Grok

Enables cross-stack impact analysis for Java/TypeScript projects with OpenAPI linkage, showing what breaks when renaming a symbol.

Consumer-side MCP server for Webless storefront operations, enabling catalog browsing, product search, and order lookup via tools.

A Model Context Protocol server implementation that runs on Cloudflare Workers with OAuth login, allowing Claude and other AI models to access tools via the MCP standard.

This MCP server provides tools for developers to query, create, and manage test data for the EasyAirClaim application, including customers and flight delay claims. It is intended for development and testing only, with full database access and no authentication.

This Python MCP server extracts and analyzes Python code structures, focusing on import/export relationships between files. It intelligently navigates codebases to identify related files, prioritizes the most relevant code sections to stay within token limits, and automatically includes README files for better context. The implementation features a CodeGrapher class that builds a comprehensive graph of code references, making it ideal for AI assistants that need to understand Python projects holistically without exceeding context windows.