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Enables interaction with LogSeq through its API.
Build Model Context Protocol (MCP) servers with embedded LLM reasoning capabilities.
Enables AI assistants like Claude to perform web searches using the Exa AI Search API.
Facilitates testing of MCP Server implementations.
Enables language models (LLMs) to access external data, tools, and custom systems via a .NET-based Model Context Protocol (MCP) server.
Integrates with Google Cloud services to provide context and tools for interacting with various Google Cloud resources.
Provides a production-grade A/B testing framework with three levels of scientific rigor for comparing large language model (LLM) outputs.
Provides a clean, reusable TypeScript boilerplate for building Model Context Protocol servers.
Provides a Model Context Protocol (MCP) server for checking domain availability using the Namecheap API.
Provides comprehensive telemetry and usage analytics for Claude Code sessions, tracking token usage, costs, and session patterns.
Offers a standardized interface to comprehensive documentation, guides, and interactive development workflows for the Model Context Protocol.
Integrates Zoho CRM with Claude.ai, allowing natural language queries for CRM data interaction.
Transforms raw text into structured relationships, enabling AI assistants to explore, navigate, and populate complex ontologies with high semantic fidelity.
Facilitates gasless ERC-20 token deployment and transfers on the Base network leveraging CDP Paymaster technology.
Equips AI agents with robust email sending and receiving capabilities via the Model Context Protocol.
Generates, edits, and manages BPMN 2.0 diagrams from natural language descriptions using large language models.
Integrates SPINES book collections, reading lists, and bookshelf recognition with AI assistants through the Model Context Protocol.
Provides a high-performance Rust server to look up AI coding standards and guidelines across over 290 rules in 20+ languages via the Model Context Protocol.
Provides a comprehensive suite of code quality checks for AI agents, covering style, naming conventions, complexity, dead code, and import analysis.
Enables AI tools to discover, monitor, and manage connected USB hardware on macOS, providing context about devices, serial ports, and maker boards.
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