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Integrates FindMine's product styling AI with Large Language Models via the Model Context Protocol.
Implements the Model Context Protocol (MCP) in Go, enabling integration between LLM applications, external data sources, and tools.
Enables connecting to Greenplum data from applications like Claude Desktop using CData JDBC Drivers.
Provides read-only access to Datasette databases for AI assistants via the Model Context Protocol.
Provides comprehensive sound playback capabilities for macOS, enabling AI assistants and other MCP clients to play system sounds, text-to-speech, and custom audio files.
Enables AI assistants to query Izmir's public transportation data and analytics via a Model Context Protocol (MCP) server.
Transforms your Notion content into an AI-powered personal memory system by building a smart knowledge graph and enabling intelligent content retrieval.
Establishes and manages a Milvus vector database, including data ingestion, search functionalities, and integration into AI workflows.
Enhances red team operations by integrating artificial intelligence capabilities into the Sliver C2 framework.
Transform images using natural language prompts and powerful augmentation techniques via the MCP protocol.
Provides a unified interface to query public French legal APIs, offering access to legislation, jurisprudence, and official documents for integration with large language models.
Enables AI agents to efficiently fetch, track, and act on Bybit cryptocurrency exchange announcements.
Provides breakpoint-based Python debugging capabilities via API and CLI, designed for integration with AI assistants and development tools.
Generates over 28 diverse visual charts and performs data analysis using the powerful AntV visualization library.
Prevents LLM hallucination in data pipelines by separating tedious collection from intelligent, local validation and analysis.
Enhances AI development workflows by providing an on-demand marketplace of battle-tested agents, skills, and Model Context Protocols for Claude.
Augments Large Language Models with specialized capabilities for managing reusable skills, extracting system prompts, and resolving package versions.
Provides a security-hardened prompt engineering framework deployed as a server on Cloudflare Workers, focusing on robust guardrails and structured prompt composition.
Empowers AI assistants with direct access to comprehensive Indian stock market data for research and analysis.
Facilitates a high-performance, private, and local Retrieval-Augmented Generation (RAG) system specifically optimized for scientific research.
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