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Offers over 40 statistical analysis tools for AI assistants, encompassing descriptive statistics, hypothesis testing, and regression analysis through an MCP server.
Provides an MCP server to access and analyze Canadian statistical data from Statistics Canada.
Extends the capabilities of AI assistants by providing integrations and functionalities via the Model Context Protocol.
Facilitates AI agent interaction with a food delivery application's data and actions through the Model Context Protocol.
Enables integration with the Azure DevOps REST API through an MCP server.
Provides an enhanced knowledge graph memory system for AI models like Claude, enabling persistent recall with advanced data management and semantic search capabilities.
Provides a starting point for creating an MCP server with string reversal capabilities.
Empowers AI assistants with secure and programmatic access to the Microsoft Graph API for managing Azure AD resources and user data.
Provides a cookiecutter template to quickly bootstrap a Python-based server.
Enables AI agents to seamlessly interact with your existing APIs.
Unifies interaction with multiple payment providers (like Stripe and Paystack) through a single, self-hosted API for AI agents and enterprise systems.
Enables interaction with the TON Blockchain, facilitating operations like sending transactions and checking balances.
Analyze external assets to extract detailed information based on various AI-driven analysis types.
Checks domain availability and pricing using the GoDaddy OTE API, providing normalized results for seamless integration.
Audits JSON Web Tokens using a suite of advanced security tools via an MCP server.
Generates high-quality images and performs transformations using multiple AI providers such as Google (Imagen & Gemini), ZHIPU AI CogView-4, or Alibaba Bailian, accessible via MCP-compatible applications.
Facilitates comprehensive interaction with the Groww Trading API, enabling order placement, portfolio management, and market data access.
Implements an agentic application using Quarkus, the Model Context Protocol, LangChain4j, and multiple MCP servers.
Provides tools for querying Brazilian Postal Code (CEP) information using the ViaCEP API.
Chains MCP servers and Ruby code to create custom solutions.
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