A demonstration MCP server built with FastMCP v2.0 that provides basic mathematical calculations and greeting functionality. Features Docker containerization, comprehensive testing, and CI/CD automation for learning MCP development patterns.
example-mcp-server-streamable-http-stateless
An educational example demonstrating how to build MCP servers in Python using FastMCP, showing how to expose tools, resources, and prompts to AI clients.
A simple example of a Model Context Protocol Server implementation
Enables users to create and interact with hand-drawn sketches and architecture diagrams directly within chat interfaces using Excalidraw. It leverages the Model Context Protocol to provide interactive HTML visualizations with smooth viewport control and fullscreen editing capabilities.
Enables reading and writing of values, formulas, and formatting in Microsoft Excel files including .xlsx and .xlsm formats. It supports sheet management, table creation, and provides Windows-exclusive features like live editing and screen capture.
A Model Context Protocol server that provides tools for reading, updating, filtering, and visualizing Excel data through a simple API.
Control Excel with Natural Language through AI assistants like GitHub Copilot, Claude, and ChatGPT. This MCP server enables AI-powered Excel automation for Power Query, DAX measures, VBA macros, PivotTables, and more.
Enables currency conversion between 161+ currencies using real-time exchange rates from ExchangeRate-API. Provides a simple tool to convert amounts between different currencies with error handling for invalid inputs and API issues.
Enables AI agents to interact with the Execute.run bot API for managing Shell balances, transferring funds, and executing LLM requests. It provides tools for identity verification, transaction tracking, and performing compute tasks through the Execute.run platform.
Enables extraction of EXIF metadata from JPG and PNG images using publicly accessible URLs or Base64 encoded data. Provides camera information, technical parameters, and image details for photo analysis.
Provides unified development tools including code analysis, debugging, refactoring, documentation, testing, and project automation through multiple LLM providers (KIMI, GLM, OpenRouter). Features agentic audit capabilities with multi-model consensus for finding issues and generating direct fixes.
Test implementation of mcp server in Elixir
Provides tools for natural language expense management, including automated categorization using embeddings and real-time transaction tracking. It enables users to create expenses, generate spending summaries, and analyze subscriptions through the Model Context Protocol.
MCP servers for interacting with Algolia
Enables AI to perform peer review of its own code changes by displaying annotated diffs with inline comments in a VS Code/Cursor panel. The AI can analyze its modifications and provide explanations directly alongside the changed code, similar to human code review workflows.
Integrates the Exploit-DB database with AI assistants to enable searching for exploits, shellcodes, and proof-of-concept code during penetration testing workflows. It allows users to perform keyword searches and direct CVE-to-exploit mappings to retrieve technical security data.
Enables LLM tools to control iOS Simulator, manage Expo/Metro development servers, capture screenshots and videos, stream logs, and execute UI automation tests via Detox for React Native/Expo applications.
A Model Context Protocol server designed to streamline Expo and React Native development for AI assistants like Cursor and Claude. It provides a comprehensive suite of tools for project initialization, EAS builds, OTA updates, and development server management.
Enables AI assistants to view and analyze screenshots from React Native/Expo applications for AI-powered mobile UI development. Integrates with Claude, Cursor, VS Code and other MCP-compatible editors.


