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Enables AI assistants to interact with Apache Solr for search, indexing, and management tasks.
Enables natural language interaction with biological databases such as Protein Data Bank and ChEMBL.
Enables AI assistants to send and receive emails by providing IMAP and SMTP functionality through the Model Context Protocol.
Orchestrates data governance policies for LLM-based applications within the Model Context Protocol (MCP) ecosystem.
Enables AI assistants to interact with GraphQL APIs through standardized tools.
Provides a convenient interface for interacting with the Bybit cryptocurrency exchange API.
Enables easy FOFA data querying through a Model Control Protocol (MCP) based API server.
Enables AI models and MCP clients to access, analyze, and derive insights from meetings across Google Meet, Zoom, and Microsoft Teams.
Enables language models to search and retrieve Wikipedia articles programmatically.
Empowers users to create AI voice assistants capable of controlling thousands of tools.
Enables seamless execution of commands, Python code, web content fetching, and reusable task management.
Transcribes audio files using OpenAI's Whisper API within an MCP server environment.
Provides LLMs with comprehensive, searchable context on the Model Context Protocol (MCP) specification.
Enables querying and analysis of Intercom conversations within LLM-powered workflows.
Executes Strands agents through the Model Context Protocol (MCP).
Enables developers to integrate Apifox API definitions with Cursor IDE for AI-assisted code implementation.
Transcribes audio files to text using a speech recognition API.
Bypasses limitations in MCP clients by providing a server wrapper that enables full Model Context Protocol support.
Aggregates multiple search APIs via the Model Context Protocol (MCP) for enhanced research capabilities.
Scrape web pages and extract targeted content using CSS selectors through the Model Context Protocol.
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