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Filters text data with a powerful rules engine to protect data and enforce policies when using Large Language Models.
Provides a monorepo of three distinct Model Context Protocol (MCP) server implementations for various runtime environments and use cases.
Provides remote management of Kubernetes clusters via the Model Context Protocol (MCP), enabling natural language control for AI platforms and applications.
Exposes project-specific `llms.txt` files as resources for AI context enhancement via the Model Context Protocol.
Automates the reading, creation, and modification of Microsoft Word documents programmatically through a Model Context Protocol (MCP) server.
Enables LLMs to interact with web browsers through a server using SSE transport for executing tasks and retrieving results.
Implements a Model Context Protocol server featuring a simple notes system with creation, listing, and summarization capabilities.
Facilitates testing Model Context Protocol (MCP) Servers using Chainlit.
Provides an enhanced Model Context Protocol memory server with advanced features for knowledge graph storage, search, and export.
Integrates the Google Gemini CLI with AI assistants to enable powerful analysis of large files and codebases.
Enables AI assistants to interact with the Flow blockchain using a standardized Model Context Protocol (MCP) interface.
Enables semantic search over internal documentation using a local server with Retrieval-Augmented Generation (RAG).
Interfaces with the Perplexity AI API using the Model Context Protocol to provide advanced question answering capabilities.
Enables interaction with the Bitbucket Server API for pull request management through the Model Context Protocol.
Connects your LLM to advanced Semgrep static analysis for zero-overhead, memory-safe code security.
Provides automated refactoring and code analysis capabilities for TypeScript projects.
Integrates Magic: The Gathering card data into Claude Desktop for interactive queries and comprehensive information retrieval.
Integrates Jenkins CI/CD functionality with Model Context Protocol (MCP) tools, enabling programmatic access for automated workflows and AI assistants.
Deploys an unauthenticated remote server for Model Context Protocol applications on Cloudflare Workers.
Provides driver-level keyboard and mouse input control for Windows applications via a standalone Model Context Protocol (MCP) server.
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