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Provides a Model Context Protocol server for managing and summarizing text notes.
Provides an MCP server implementation to access policies via a GraphQL API, enabling contextual awareness for language models.
Enables interaction with Shopify product data from Claude Desktop.
Manages Changerawr projects, changelogs, and tags through natural language commands via AI assistants.
Provides an AI assistant with comprehensive access to the tscircuit electronics component registry for search, browsing, and analysis.
Bridges Ethereum JSON-RPC queries from Geth nodes to the Model Context Protocol (MCP) ecosystem.
Provides real-time cross-chain bridge metrics for analyzing liquidity, transaction flows, and performance across blockchain networks.
Integrates AI assistants with the Trade Me API, facilitating interaction with New Zealand's largest online marketplace.
Provides an AI-ready server for traditional Chinese and other divination systems, supporting multiple protocols.
Streamlines LLM interactions through a token-efficient Domain Specific Language, dramatically reducing token usage.
Automatically detects and suggests fixes for security vulnerabilities in code, including AI-generated code and Infrastructure as Code.
Transforms how AI assistants interact with Asana, enabling efficient AI-powered project management through advanced batch operations and direct task assignment.
Provides a validation-first methodology for ethical and secure application development through human-AI co-evolution and systematic multi-model AI orchestration.
Provide AI coding agents full access to remote machines over SSH for managing multiple connections and operations.
Enables terminal-based AI agents to interact with any website through a live browser session using an optimized context protocol.
Aggregates tools from multiple Model Context Protocol (MCP) servers, providing unified access and powerful search capabilities for AI agents like Claude Desktop.
Provides a standardized interface to interact with Frappe REST API endpoints.
Orchestrates local agentic AI systems by connecting a FastMCP Python server with a LangGraph orchestrator and Ollama.
Provides AI coding assistants with crucial architectural context and rationale for code decisions, acting as an intelligent memory for your codebase.
Provides native control and introspection for iOS Simulators, enabling AI assistants to interact with and debug iOS applications without interference.
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