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Enables querying real-time weather information and accessing internet usage data using the Model Context Protocol.
Manages long-term agent memory and serves as a Python template for building Model Context Protocol servers.
Integrates Atlassian Bitbucket Server/Data Center with AI systems through a Model Context Protocol (MCP) server.
Enables read-only access to Google Spanner data for AI clients like Claude Desktop through CData JDBC Drivers.
Connects Large Language Models (LLMs) like Claude Desktop to Oracle Eloqua data via a Model Context Protocol (MCP) interface.
Enables programmatic and intelligent interaction with Medium's content ecosystem for context-aware retrieval.
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.
Provides intelligent memory management capabilities using Qdrant vector database for semantic search and storage.
Integrates scientific simulation documentation for tools like PyBaMM and Cantera with AI assistants via the Model Context Protocol.
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.
Provides a robust AI backend for retrieval-augmented generation (RAG) chat, enabling users to interact with their documents or engage in general conversations.
Empower AI assistants to autonomously build, validate, and deploy multi-agent solutions from any AI environment.
Establishes an AI agent server with a corresponding REST API for seamless interaction and management.
Transforms raw YouTube content into viral-optimized video clips using AI-powered search, motion-based highlight detection, and automated editing.
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.
Provides energy market intelligence for the US energy sector, including regulatory filings, real-time ISO prices, and market data.
Enables AI agents to perform simulated crypto trading with real-time Upbit prices, offering comprehensive performance tracking and autonomous operation.
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