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Provides a Model Context Protocol (MCP) server for accessing financial data and executing trading operations using Angle One's trading APIs.
Enables AI models to search the web and retrieve up-to-date information using the Tavily API.
Integrates AI capabilities with the n8n automation platform through workflow configurations.
Connects Claude Desktop to Salesforce data using CData JDBC Drivers.
Automates interactions with services and APIs for web browsing, financial data retrieval, and more through AI agents.
Connects Large Language Models to live Zoho Books data for natural language querying.
Provides a secure, self-hosted MCP server with an intuitive web UI for managing context resources.
Enables AI-powered image generation and editing using natural language through the Model Context Protocol.
Enables AI assistants to securely access and interact with the YNAB API via an MCP server.
Connects Large Language Models to various real-world applications through a modular server framework.
Provides tools and agents for solving linear and mixed-integer programming problems, translating natural language to LP JSON, and diagnosing infeasibility.
Implements a Model Context Protocol (MCP) server, enabling AI assistants to securely interact with external tools and data sources.
Integrates Google services like Gmail, Calendar, Drive, Sheets, and Keep with an intelligent multi-provider LLM fallback system for enhanced productivity.
Tag and classify CSV data rows using large language models with parallel processing capabilities across multiple providers.
Retrieves relevant text chunks from PDF documents using a hybrid search approach for integration with AI agents.
Accesses Canada's Open Government data for comprehensive dataset discovery and provides specialized querying for national transportation infrastructure information.
Generate high-quality images with AI-powered customization and automatic prompt generation for integrated environments.
Integrate reMarkable Cloud functionalities with AI agents for document browsing, reading, and handwriting recognition.
Enables agent-based simulations for large language models with customizable behaviors.
Exposes context resolution functionalities to AI agents via the Model Context Protocol over JSON-RPC 2.0 stdio transport.
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