Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provides unified access to multiple Indian stock brokers through Claude AI, enabling seamless trading operations and advanced technical analysis.
Extends the functionality of the Memory server by enabling custom memory locations and timestamping of interactions.
Implements Retrieval-Augmented Generation (RAG) with a focus on comparison tasks, as demonstrated by the included example comparing PydanticAI and LangGraph.
Integrates a Model Context Protocol (MCP) server with PSG College of Technology's e-campus portal, providing AI assistants access to student academic data.
Provides a specialized MCP server to assist AI assistants in thoroughly testing other MCP server implementations.
Monitor and interact with Arbitrum Nitro nodes and chains using natural language queries.
Interacts with Model Context Protocol (MCP) servers through a FastAPI-based API.
Integrates Things 3 and Apple Notes with AI assistants using the Model Context Protocol (MCP).
Integrates with Phabricator and Phorge APIs to enable advanced automation and interaction capabilities.
Enables AI assistants to dynamically generate technology-specific prompts and comprehensive templates for PRD, codebase, and bug analysis.
Provides an interface for interacting with the Harvest time-tracking API.
Integrates Google PageSpeed Insights API with Claude to provide web page performance analysis.
Enables Large Language Models to interact with Supabase databases for CRUD operations.
Transform Markdown documentation into an intelligent orchestration layer for AI agents, enabling task-driven workflows and intelligent context injection.
Generates data pipeline code for any Airbyte Connector using a single natural language prompt.
Analyzes WeGene genetic testing reports using LLMs.
Summarizes the latest advancements in artificial intelligence in a concise, time-efficient manner for busy individuals.
Provides AI assistants with secure, read-only access and safe modification capabilities for Google Keep notes, lists, and todos.
Provides intelligent assistance and answers questions about Mastra.ai within Discord.
Empowers AI assistants to navigate, search, and edit files of any size, bypassing LLM context window limitations.
Provides large language models with persistent, intelligent semantic memory across conversations.
Integrates Verodat's data management capabilities with AI systems like Claude Desktop using the Model Context Protocol.
Enables LLMs to interact with X.com through OAuth 2.0, supporting post-related operations.
Integrates Confluence with AI assistants, enabling natural language interactions with documentation.
Exposes Jellyseerr API functionality as tools for LLM clients via the Model Context Protocol.
Bridges AI agents with Offorte's proposal engine to create and send proposals using AI via the Model Context Protocol (MCP).
Executes Google searches and extracts results by bypassing anti-bot mechanisms, offering both command-line and real-time search capabilities for AI assistants.
Optimizes HSY Blominmäki wastewater pumping through multi-agent forecasts, a FastAPI orchestration backend, a React operator dashboard, and digital-twin tooling.
Enables analysis of JSON-formatted log files through an MCP client.
Enables LLM agents to interact with and manage Okta organizations through its Admin Management APIs.
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