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Manages long-term agent memory and serves as a Python template for building Model Context Protocol servers.
Generates personalized music playlists and recommendations by analyzing user listening patterns with AI-powered insights.
Provides a robust Model Context Protocol agent for integrating web search capabilities into AI applications and research workflows.
Enables programmatic and intelligent interaction with Medium's content ecosystem for context-aware retrieval.
Functions as a versatile AI agent and an MCP server, extending Large Language Models and development environments with advanced capabilities and tool integrations.
Provides comprehensive documentation and insights for AWS AgentCore to GenAI tools, enabling the development of production-ready AI agents.
Enables Large Language Models to securely browse, interact with, and manage local file systems.
Integrates scientific simulation documentation for tools like PyBaMM and Cantera with AI assistants via the Model Context Protocol.
Provides a Model Context Protocol server integrated with the Tavily API for robust web search functionalities.
Provides seamless access to over 249 production-ready APIs through the Model Context Protocol, enabling AI assistants and MCP-compatible clients to interact with a vast ecosystem of data and functionality.
Connect AI chat assistants like Claude Desktop to the Zomato food ordering system, enabling exploration of restaurants, menu browsing, and food orders.
Provides a robust AI backend for retrieval-augmented generation (RAG) chat, enabling users to interact with their documents or engage in general conversations.
Indexes codebases into PostgreSQL using pgvector embeddings via Ollama to enable local-first hybrid semantic code search.
Establishes an AI agent server with a corresponding REST API for seamless interaction and management.
Connects AI agents to a comprehensive platform for quantum computing jobs, research papers, and researcher profiles.
Empowers AI assistants to interact with IBM ODM Decision Center, automating business rule, decision table, and ruleflow management.
Provides large language models with a concise Markdown digest of GitHub repositories, including file trees and key file contents, even for projects without a README.
Offers a pluggable and observable modular RAG service framework, exposing tool interfaces via MCP for direct integration with AI assistants like Copilot and Claude.
Validates BibTeX entries against public scholarly sources, ranks matching candidates, and recommends the optimal citation.
Enables AI agents to perform simulated crypto trading with real-time Upbit prices, offering comprehensive performance tracking and autonomous operation.
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