OpenAI Agents
Exposes OpenAI's agent capabilities for web search, file search, and computer actions through specialized agents and a multi-agent orchestrator that…
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Exposes OpenAI's agent capabilities for web search, file search, and computer actions through specialized agents and a multi-agent orchestrator that…
Connects AI systems to Qdrant vector databases for semantic search using OpenAI embeddings, enabling contextual document retrieval and knowledge base querying.
Integrates with OpenAI's GPT-4o model to provide text analysis, summarization, and generation capabilities through a simple API for scenarios requiring complex…
Interact directly with Couchbase databases on Capella clusters. Query buckets, perform CRUD operations, execute N1QL queries, and manage data seamlessly…
Leverages the CrewAI framework in combination with OpenAI API to orchestrate multi-agent workflows for automated research, data analysis, and problem-solving…
Aggregates multiple MCP servers into a single unified interface, reducing system resource usage and simplifying configuration management with dynamic reloading…
Provides AI systems with access to documentation from llms.txt files by fetching and parsing content from specified URLs, enabling seamless documentation…
Integrates multiple language models via the unified Unichat tool, enabling seamless interaction across OpenAI, MistralAI, Anthropic, xAI, and Google AI…
Provides a documentation search tool that retrieves the latest Python library documentation from LangChain, LlamaIndex, and OpenAI through targeted Google…
A unified interface for various chat AI models including OpenAI, MistralAI, Anthropic, and Google AI, requiring vendor API keys.
Enables semantic documentation search and retrieval using vector databases, allowing for URL extraction, source management, and indexing queues with support…
Built for Zed to enable semantic searching of PDF documents using a Qdrant vector database and OpenAI embeddings.
Bridges Microsoft's AutoGen framework with external tools, enabling autonomous agents to execute code, perform research, and collaborate in multi-agent…
Enables multiple LLMs to share and analyze each other's responses to the same prompt, facilitating collaborative problem-solving and multi-perspective analysis…
Built for Cursor, integrates screenshot capture, web page structure analysis, and code review capabilities for automated UI testing, web scraping, and code…
Enhances coding capabilities by providing context-aware suggestions and documentation integration through code analysis, technology detection, and intelligent…
Integrates with Google Drive to automatically classify documents using customizable rubrics, extracting content from various file types and updating document…
Bridges Large Language Models with JetBrains IDEs to enable intelligent code completion, automated refactoring, and context-aware documentation generation.
Transforms complex n8n workflow JSON files into clear markdown summaries, extracting nodes, connections, and functionality while generating conceptual Python…
Guides LLMs through structured software development workflows with feature clarification, PRD generation, and phase-based tracking using a hybrid document…
Integrates code analysis using a Neo4j graph database to enable structural insights, quality metrics, and natural language querying of codebases.
This MCP server, developed by AllAboutAI-YT, implements a simple notes system to demonstrate core MCP concepts. It provides resources for text notes with URIs…
Provides a unified interface to Arize Phoenix's capabilities for managing prompts, exploring datasets, and running experiments across different LLM providers
Retrieve and process documentation using vector search to provide context for AI assistants.