"AURA API documentation and integration guide" matching MCP servers:

An MCP server that enables Alexa+ to autonomously orchestrate multi-step household tasks by decomposing goals into parallel tool calls — cross-session memory and dietary/allergy auditing, culinary planning with wine pairings, Amazon Fresh cart assembly with human-in-the-loop purchase approval, smart-home ambiance and climate control, and calendar scheduling. It pairs AWS Bedrock multi-agent reasoning with Streamable HTTP transport and interactive generative UI cards, carousels, and live IoT sliders.

Persistent cognitive memory for AI agents. Sub-millisecond recall, fully offline, encrypted. 8 tools: recall, recall_structured, store, store_code, store_decision, search, insights, consolidate.

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

Enables an Alexa-style assistant to plan and execute multi-step smart home routines, remember user preferences across sessions, and render interactive UI cards on screen via Streamable HTTP MCP tools. Uses AWS Bedrock for reasoning with a built-in offline intent fallback.

Orchestrates AI agents through structured markdown documents, enabling multi-agent workflows with automatic context injection and workflow management.

It gives AI agents one tool to access the Omega-API judge, which evaluates conversational turns and returns a decision and gate action (release, clarify, suppress, or none) to guide the agent's response.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Manage and monitor Hadoop clusters via Apache Ambari API, enabling service operations, configuration changes, status checks, and request tracking through a unified MCP interface for simplified administration. * Guide: https://call518.medium.com/llm-based-ambari-control-via-mcp-8668a2b5ffb9

A guide for implementing Model Context Protocol (MCP) servers that provide AI models with external tools like web search, text manipulation, and mathematical operations.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables Claude and ChatGPT to interact with AdEx AURA API for DeFi portfolio analysis, yield opportunity scanning, and automated trading strategy execution across multiple EVM chains. Includes risk management guardrails and on-chain payment verification.

Provides a deterministic failure-decision API for MCP clients, returning one of six actions (RETRY_NOW, WAIT, REPAIR_REQUEST, VERIFY_FIRST, ESCALATE, ABORT) based on failure context to guide safe next steps.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

A Model Context Protocol server that enables AI assistants to interact with the Deriv trading API, providing access to active trading symbols and account balance information.

This server provides a Model Context Protocol interface for the FusionAuth API, enabling users to manage users, applications, and authentication configurations through natural language. It supports over 300 tools for various operations, including creating, searching, and retrieving data from a FusionAuth instance.

Enables AI agents to access real-time market data, manage Moomoo trading accounts, and execute trades via the Moomoo platform.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

An MCP server that enables users to manage Google's Jules AI coding agent sessions directly from MCP-compatible clients. It supports creating sessions, approving execution plans, and interacting with session activity to streamline autonomous coding workflows.

A lightweight MCP server for managing DNS records, purging cache, and interacting with the Cloudflare API through natural language commands.

Exposes Bruno API collections as Model Context Protocol (MCP) tools, allowing AI agents and MCP clients to interact with your API collections.