mcp\_command-line\_tool
mcp-commit-story is a Model Context Protocol (MCP) server designed to capture and generate engineering journal entries within a code repository. The journal captures technical progress, decision-making context, and emotional tone, with the goal of producing content that can later be reused for storytelling (e.g., blog posts, conference talks).
A Model Context Protocol server implementation that enables real-time data communication between web pages and client applications through WebSocket connections.
A dual-protocol MCP server that supports both modern Streamable HTTP and legacy HTTP+SSE protocols, providing backward compatibility for clients while offering advanced features like session resumability.
Provides a complete end-to-end MCP server implementation with file system tools, web scraping capabilities, and system information access. Includes ready-to-use configuration files and integration examples for Claude Desktop, ChatGPT, and other AI models.
An MCP server that enables sending data to webhooks via HTTP POST for both local and remote team environments. It provides a tool for relaying task descriptions, custom metadata, and automated notifications to external services.
Provides tools for searching Sam's Club products, locating warehouse clubs, and accessing membership information using realistic mock data. It enables AI assistants to interact with product catalogs and store services for development and testing purposes.
Provides an interface to Claude's contemplation loop, enabling continuous background cognitive processing that maintains thoughts, recognizes patterns, and develops insights between conversations.
Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.
A static MCP server that helps AI models maintain tool context across chat sessions, preventing loss of important information and keeping conversations smooth and uninterrupted.
A comprehensive learning project providing hands-on experience with Model Context Protocol (MCP) server development, featuring calculator and text utility tools for integration with Claude Desktop.
Contains the business logic and MCP server ports.
Enables interaction with Users and Products through a CRUD service REST API, providing tools for listing, creating, reading, updating, and deleting records via HTTP transport.
An MCP server that enables AI assistants to load, query, and analyze local CSV files using tools for filtering, aggregation, and grouping. It provides capabilities to describe schemas, calculate statistics, and sample data directly from CSV files.
A comprehensive MCP server with 30+ custom tools organized into categories: date/time operations, file management, system information, text processing, and web operations. Enables async communication with robust error handling and flexible CLI integration.
Provides access to Danish energy data from Energinet, including real-time electricity spot prices, CO2 emissions, and production mix. It enables users to monitor grid status and identify the most cost-effective hours for energy-intensive tasks.
Renders 45+ interactive chart types, dashboards, and KPI widgets directly inside AI conversations. Supports drill-down, live API polling, 20 themes, and one-click export to PNG, PowerPoint, and A4 documents.
Provides current local datetime information with timezone support. Serves as a minimal blueprint for building simple, single-purpose MCP servers.
Startup engineering acceleration signals for VC investors. Tracks commit velocity, contributor growth, and repo expansion across 20 sectors via public GitHub data. No API key required.
A VSCode extension that enables AI agents to programmatically control VSCode's debugging features through the Model Context Protocol (MCP).

