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Integrates VOICEVOX speech synthesis and speaker management capabilities via an MCP server.
Provides AI assistants with access to comprehensive bird data via the AviBase dataset.
Integrates Large Language Models with real-world APIs using the Model Context Protocol for standardized AI-API interactions.
Streamlines common healthcare data pulls and analytics for value-based care, quality measures, and financial metrics.
Provides real-time stock market data, historical information, and company financials using public Yahoo Finance data without an API key.
Provides a high-performance Model Context Protocol (MCP) server for the USPTO Patent Trial and Appeal Board (PTAB) Open Data Portal API, featuring context reduction, hybrid document extraction, and seamless cross-MCP integration for comprehensive patent lifecycle analysis.
Provides access to comprehensive Dutch weather data through the KNMI API via a Model Context Protocol server.
Enhances large language model reasoning, memory, and orchestration through a standardized context engineering protocol.
Demonstrates secure format-preserving encryption (FF3 FPE) and multi-mode authentication for sensitive data within LLM interactions.
Refines AI-generated content to sound more natural and human-like.
Bridges Shogi AI engines with HTTP API and Model Context Protocol for integration with AI agents.
Provides mathematically scored financial context and sanitized data to AI agents, preventing hallucinations by focusing on daily closed market data.
Bridges Large Language Models to external tools and APIs through custom Model Context Protocol (MCP) server implementations.
Orchestrates multiple specialized agents to draft articles and conduct web research using a custom communication protocol and an MCP-inspired architecture.
Transforms unstructured documents into a searchable knowledge base, enabling AI-powered question answering.
Integrates Claude AI with Blender, enabling direct AI control and manipulation of 3D models and scenes.
Enables read-only access to jrnl (command-line journal) entries through a Model Context Protocol (MCP) server.
Provides an anonymized integration layer for e-SUS PEC APS data with Large Language Models.
Manages tasks using natural language commands interpreted by a Large Language Model.
Enables AI assistants to interact with and analyze time-series data stored in TimescaleDB databases via the Model Context Protocol.
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