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Illustrates the differences between LLM function calling and the Model Context Protocol (MCP) by controlling Home Assistant lights.
Interacts with a Playbooks Rules API to manage and retrieve rules.
Generates presentations from outlines and provides an outline generation service, designed for use with cappt.cc.
Extracts symbol outlines from a codebase to provide LLM coding agents with necessary context.
Automate YApi interface management by enabling large language models (LLMs) to interact with your YApi platform through natural language.
Integrates Wiki.js instances with the Model Context Protocol, enabling large language models like Claude to interact with documentation.
Provides an unofficial Model Context Protocol server for accessing Open Targets platform data, facilitating gene-drug-disease associations research.
Provides an MCP server for HomeyPro home automation systems, enabling paginated access and comprehensive control over devices, zones, and flows.
Facilitates seamless interaction with the Camunda 7 Community Edition Engine for workflow automation and process management.
Provides comprehensive blockchain services for the XRP Ledger ecosystem, enabling AI agents to interact with XRPL networks through a unified interface.
Manages Datomic database connections and operations, including support for in-memory instances.
Provides AI assistants with access to query and retrieve topic-specific knowledge from recursively crawled web pages and integrated data sources.
Connects to PostgreSQL databases, executes read-only SQL queries, and provides detailed table information through MCP-compatible clients.
Orchestrate ephemeral environments on the Shipyard platform directly from your terminal or through AI agents.
Enables AI agents to engage users through interactive, native popup dialogs for input and confirmation.
Transforms any text into classified, structured semantic units, acting as a cognitive primitive for AI agents.
Empower end-users to run powerful, AI-guided workflows as a local-first desktop application with reproducible environments.
Reduces LLM token usage by semantically compressing prompts while preserving meaning and core constraints.
Programmatically build, launch, and manage Meta ad campaigns via a clean REST API and Model Context Protocol (MCP) server for AI agents.
Empowers AI agents with comprehensive user research capabilities, from study design to insight reporting.
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