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Enables AI agents to interact with multiple EVM-compatible networks via a unified interface.
Accesses the Marginalia Search engine, focusing on independent and non-commercial web content.
Retrieves weather alerts and forecasts using the National Weather Service API.
Connects Dynamics 365 data to Claude Desktop using CData JDBC drivers through a read-only interface.
Enables access to Jira data from Claude Desktop through CData JDBC Drivers, leveraging the Model Context Protocol (MCP).
Exposes Parquet data as a Model Context Protocol (MCP) server, enabling LLMs to query it using natural language.
Deploys a Model Context Protocol (MCP) server for integration with AI models like Microsoft Copilot Studio.
Indexes and semantically searches Markdown documents using vector embeddings and a self-contained vector database.
Provides a Model Context Protocol (MCP) server to access mxHERO's high-performance multi-account email search service for AI solutions.
Exposes an API as tools to large language model clients using the Model Context Protocol (MCP).
Integrate Zerion's cryptocurrency portfolio management, DeFi, NFT, and market data API with AI assistants via the Model Context Protocol.
Orchestrates an end-to-end Model Context Protocol tooling system, featuring a FastMCP server and STDIO-based client with JSON-RPC, enabling multi-step tool chaining powered by Vertex AI Gemini.
Provides a high-performance, fault-tolerant vector database leveraging Erlang/OTP's Actor model for concurrent operations and distributed clustering.
Empower LLM agents with direct, intelligent access to enterprise documents through a local, recursive language model knowledge base.
Enables AI agents to search and count economic units in Mexico using INEGI's DENUE API.
Provides long-term, persistent memory to AI agents, enabling them to recall past conversations and knowledge across sessions.
Indexes local code repositories, parses their structure, and serves the codebase context to AI agents via the Model Context Protocol.
Provides a unified web server for speech-to-text transcription and text-to-speech synthesis, including speaker diarization.
Provides real-time Wikipedia page view trends to detect information-demand spikes and breaking topic momentum for AI agents.
Establishes a verifiable trust layer for AI agents to check claims against cryptographic evidence before taking action.
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