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Exposes Apache HBase data as a read-only Model Context Protocol (MCP) server for querying via Large Language Models.
Facilitates access to Bloomberg API market data through a local server.
Provides real-time weather forecasts, alerts, and historical data search capabilities via the National Weather Service API.
Facilitates AI agents' access to BaSB workspaces via the Model Context Protocol.
Unifies AI and automation capabilities into a command center for multi-provider chat, workflow chaining, and seamless integration with external services.
Empowers car search and sales processes with an intelligent AI-driven web application capable of understanding natural language requests.
Provides a lightweight vector store with TF-IDF search capabilities for various document types.
Connects AI assistants and Large Language Models to GitHub, Confluence, and Databricks environments via the Model Context Protocol.
Provides AI assistants with natural language tools to query personal glucose data from a health-data-storage API.
Analyzes tabular data, detects anomalies, and generates interpretive summaries using a local LLM.
Provides IPFS-secured, verifiable, and sovereign storage for AI agents.
Deploys an authentication-free remote AI agent server on Cloudflare Workers for seamless integration of custom tools.
Deploys an authentication-less Model Context Protocol (MCP) server on Cloudflare Workers for remote tool access.
Provides a unified Docker package containing 14 diverse Model Context Protocol servers for AI model integration.
Analyzes food descriptions to provide estimated nutritional information using OpenAI's models.
Manages local files and cloud backups intelligently, organizing folders, removing duplicates, and integrating with Google Drive for automated storage.
Transforms local and distributed hardware into a single, OpenAI-compatible LLM gateway, enabling secure, production-grade access to diverse language models.
Provides persistent memory, fast search, and intelligent file editing capabilities for Claude Code.
Facilitates document review with an interactive in-browser editor and LLM-powered tools, dynamically generating its user interface at runtime using the Model Context Protocol.
Empowers AI assistants to securely connect with external tools and data sources, extending their capabilities.
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