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Integrates Google's OR-Tools constraint programming solver with Large Language Models using the Model Context Protocol for AI models.
Parses Swagger/OpenAPI documents and generates TypeScript types and API client code.
Enables MCP clients to perform a variety of Unity Editor actions, streamlining workflow and enhancing development.
Manages email configurations and facilitates sending and reading emails, designed for integration with Claude Desktop.
Navigate the Model Context Protocol ecosystem with this curated collection of resources, tools, and services.
Controls the Teenage Engineering EP-133 K.O. II sampler via MIDI using the Model Context Protocol.
Connects the ChatGPT macOS app to MCP servers.
Parses and analyzes HAR (HTTP Archive) files to allow AI assistants to inspect network traffic.
Helps AI assistants maintain persistent project context through structured markdown files.
Automatically generates Cypress Page Object classes and comprehensive test suites for any web page.
Integrates Sourcegraph's code search capabilities into an AI-enhanced Model Context Protocol server.
Enables AI agents to access Israel's comprehensive pharmaceutical database from the Ministry of Health, providing evidence-based medication guidance and therapeutic recommendations.
Exposes the official FedRAMP/docs repository through a Model Context Protocol (MCP) server, enabling queryable access with FRMR-aware tooling.
Establishes a bi-directional protocol bridge between Claude 4.5 Sonnet and GLM-4.6, enabling real-time architectural consultation for system design and technical decision-making.
Encapsulates the Exa Pool API as a toolkit for AI assistants, providing a lightweight Model Context Protocol server.
Analyzes spatial transcriptomics data through natural language conversation, enabling researchers to interact with their data without writing code.
Provides fuzzy search and browsing capabilities for Apple Messages (iMessage/SMS) from the command line, an MCP server, or an AI plugin.
Enables AI agents to evaluate Common Lisp code within a persistent, stateful REPL session over the Model Context Protocol.
Empowers AI coding assistants with semantic code search and contextual knowledge across all your repositories.
Enables AI agents to compose complex MCP tool workflows using Unix-style pipelines that execute server-side.
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