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Enables programmatic access to the IACR Cryptology ePrint Archive for efficient retrieval of cryptographic research papers.
Query APIs for national park overviews, trails, alerts, events, and weather forecasts, making park data accessible to LLMs.
Enables AI assistants to query and analyze Prometheus metrics through standardized Model Context Protocol (MCP) interfaces.
Generates and edits images with Google Gemini AI, offering diverse aspect ratios, context image guidance, and watermark capabilities.
Integrates a Kubernetes MCP server with an AI-powered UI plugin, deployable via Docker Compose.
Provides lightning-fast, language-agnostic code analysis, instant symbol lookups, reference tracking, and semantic code search for large codebases.
Provides an efficient Model Context Protocol (MCP) server for context sharing and structured data management among Claude Code sub-agents.
Implements a Python-based server for Retrieval-Augmented Generation (RAG) workflows, managing context, tool invocation, and model output for clients like Claude Desktop.
Collects, analyzes, and visualizes historical ATP tennis rankings data, offering a web interface, CLI tools, and AI integration.
Provides a comprehensive document parsing solution, supporting various office formats, OCR, and AI-driven semantic search for integration with AI assistants.
Enables AI assistants to manage K3s Kubernetes clusters through natural language commands.
Manages complex, multi-step AI agent workflows as a persistent state machine, preventing context drift.
Provides runtime defense for AI agents by intercepting prompts and LLM responses through a pipeline of inline defenses and output scanners.
Establishes local-first persistent memory for AI agents, enabling them to store, recall, and consolidate knowledge across interactions without cloud dependencies.
Exposes Azure AI Foundry agents, workflows, and Azure AI Search capabilities as Model Context Protocol (MCP) tools.
Provides AI assistants with a persistent memory and identity layer to enhance conversational context across multiple platforms.
Facilitates autonomous experimentation by providing a domain-agnostic Model Context Protocol server for AI agents to drive metric-driven optimization with reproducible history.
Exposes ATLAS AMI and PMG cross-section database as tools for Large Language Models.
Crawls China National Knowledge Infrastructure (CNKI) for academic papers, providing retrieval and content extraction capabilities for AI assistants.
Provides an MCP-native memory layer for coding agents to transform real-time coding sessions into reusable engineering knowledge.
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