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Integrates with the Ticketmaster API to provide real-time event data for AI agents.
Enables AI models to access Tracxn's database of companies, investors, transactions, and market intelligence via a Model Control Protocol (MCP) server implementation.
Builds AI-native risk intelligence systems.
Query APIs for national park overviews, trails, alerts, events, and weather forecasts, making park data accessible to LLMs.
Provides weather-related data and tools for AI assistants.
Enables cryptocurrency data queries through a Model Context Protocol server, interacting with the CoinGecko API.
Generates in-depth research reports on specified topics using the Google Gemini AI API.
Enables interaction with Git repositories and automation via Large Language Models.
Enables AI models to interact with the Polarsteps API for fetching travel data, trip information, and user profiles.
Facilitates AI agent interaction with a food delivery application's data and actions through the Model Context Protocol.
Transforms The Build Podcast into a searchable AI-powered knowledge base, enabling discovery of business ideas and product strategies through natural language queries.
Automate GitHub operations and interact with the platform using LLM-compatible tools.
Provides an MCP server for AI agents to interact with GitLab, offering extensive tools for repository, issue, merge request, and pipeline management.
Access real-time bus and train information across over 10 Malaysian cities, including live arrivals, vehicle tracking, and route details from major transit providers.
Connects internal AI platforms, accessible via webhooks, to OpenWebUI and other Model Context Protocol (MCP) clients.
Empowers AI assistants to create and deploy sophisticated AI-moderated interviews and surveys with shareable links.
Empower AI agents with real email and SMS capabilities through production-ready code examples.
Provides comprehensive access to a vast array of French public administration and socio-economic data through a Model Context Protocol server.
Enables querying of robot MCAP recordings with SQL directly through Large Language Models.
Provides intelligent memory management for AI assistants, enabling persistent knowledge bases across various development tools with confidence tracking and relationship mapping.
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