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A read-only MCP server providing structured code planning and review tools (techlead.plan and techlead.review) with multi-provider routing and cost estimation.

An MCP server that provides access to Tekuila restaurant menus with AI-powered health recommendations and meal planning. It enables users to retrieve daily or weekly menus and receive intelligent nutritional analysis through clients like Claude Desktop and Cursor.

Enables AI agents to interact with the Teladoc telehealth platform to search for providers, book virtual appointments, and manage prescriptions. It also supports secure messaging and access to past visit history through the Model Context Protocol.

Provides real-time LNP/WLNP (Wireless Local Number Portability) and LRN auditing. Features specialized congestion logic for 2026 global events. Essential for routing agents managing wireless and wireline transit.

A TypeScript MCP server template with Zod validation, dual transport (stdio/HTTP), and modular architecture for building MCP-compatible tools, resources, and prompts.

A production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.

A minimal, well-structured starter template for building Model Context Protocol (MCP) servers using Python and the FastMCP framework. It includes boilerplate for tools, testing setup, and modern Python packaging to accelerate server development.

Code graph context engine that parses codebases with tree-sitter (170+ languages), builds structural dependency graphs, and provides 24 MCP tools for code intelligence. One prepare_context call gives your AI agent the right files for any task. Includes focus, blast radius, hotspots, dead code detection, and hybrid search.

A Model Context Protocol (MCP) server that provides AI agents with comprehensive temporal awareness and time calculation capabilities.

Calendar MCP server with atomic booking, conflict prevention, deterministic RRULE expansion, and TOON token compression for AI agents.

Provides mathematical operations (expression evaluation, arithmetic, advanced calculations) through MCP, backed by Temporal workflows for reliability and durability. Demonstrates integration between Model Context Protocol tools and Temporal's Nexus RPC framework with full observability.

Provides intelligent code context aggregation using NLP-based ranking (BM25, TF-IDF, embeddings) and automatically injects guiding principles (coding standards, architecture rules) into every prompt to maintain consistency across AI conversations.

Provides secure access to Tennis Warehouse product data, enabling users to search for tennis equipment (racquets, bags, shoes), check product availability, find deals, and browse categories through natural language queries while protecting internal API details.

Connects to the Tentahead API to facilitate campsite searching and group trip planning for Illinois state parks. It provides live availability, weather forecasts, safety alerts, and EV charging data to streamline outdoor adventure planning.

Memory for AI coding agents. Persistent code graph + AI architecture diagrams. 32 MCP tools

A VSCode and Cursor extension that captures real-time terminal output and exposes it to AI assistants via the Model Context Protocol. It enables agents to proactively monitor logs, command execution, and errors without requiring manual copy-pasting from the user.

A secure and pluggable MCP server to run terminal commands on your local machine or cloud server — remotely, safely, and with LLMs or agentic clients.

Enables execution of shell commands through a terminal tool with working directory support and timeout protection. Also provides access to MCP documentation as a resource.

Enables safe execution of terminal commands across different shells (bash, cmd, PowerShell) with configurable timeouts, working directories, and resource limits for command-line operations through AI assistants.

Enables Claude Desktop to read terminal command output by capturing commands prefixed with 'cap' to a log file. Eliminates the need to copy-paste terminal errors and output when asking Claude for help.