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Enables BioStudies search integration within Claude Desktop using the Model Context Protocol.
Provides a foundation for building AI-powered applications communicating with MCP-compatible clients via Server-Sent Events.
Provides an MCP interface for enumerating and retrieving status information from YoLink smart devices.
Connects large language models to Oracle Cloud Infrastructure, enabling direct interaction with cloud resources.
Provides access to simplified `tldr` command-line documentation as an MCP server.
Connects AI assistants to personal lifelog data for seamless reading, searching, and analysis of recorded conversations and activities.
Orchestrates smart contract security audits by integrating industry-standard analysis tools and custom pattern checks via the Model Context Protocol.
Provides secure, read-only access to Amazon Redshift data warehouses for AI assistants and LLMs.
Enables AI assistants to query Jira issues and perform searches using natural language through a Model Context Protocol (MCP) server.
Manages Microsoft SQL Server tasks efficiently with 20 specialized tools for schema discovery, data operations, and administration.
Exposes Hound's powerful regex-based code search to AI agents like Claude Code for efficient code exploration.
Enables AI agents to visit and interact with Droid Bar, the first social hub designed for artificial intelligence.
Provides comprehensive exercise-to-muscle mapping data for AI clients, detailing primary, secondary, and stabilizer muscle activation.
Connects AI agents to Gmail, providing robust email operations while handling authentication, token management, and API rate limits.
Scores, enforces policy, locks configuration, and audits every AI prompt before it reaches any LLM.
Provides 36 specialized tools for ServiceNow platform introspection, debugging, change intelligence, investigations, and documentation generation, enabling AI agents to interact directly with an instance.
Integrates Discord communication capabilities by acting as an MCP server for sending and retrieving messages.
Enables LLM-driven control of Digilent WaveForms test instruments, allowing AI assistants to capture oscilloscope waveforms, generate signals, and perform logic analysis programmatically.
Empowers AI coding assistants with persistent memory, ensuring development sessions continuously build upon previous interactions and knowledge.
Connects agentic coding tools to live Java runtime behavior by exposing bytecode-level signals from a running JVM for advanced inspection and debugging workflows.
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