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

Enables generating markdown API documentation from OpenAPI JSON or route definitions, with a health-check tool.

Enables AI assistants to securely access local machine capabilities such as file operations, shell commands, Skills, and Pi Tools through a controlled MCP interface with token authorization and multiple tunnel options.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

A persistent-memory MCP server for AI agents with an honest health endpoint that survives its store dying.

Provides tools to cache answers, run local compute, and retrieve stats, reducing LLM calls by answering prompts for free when possible.

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.

Give your AI agents instant access to Keboola API documentation. Search endpoints, get parameter details, and generate curl examples—all through MCP tools.

An MCP server that generates a personalized 'aura card' with a reading, color palette, and artwork based on a user's description and optional photo, costing 0.5 USDT per call via x402.

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.

Enables full-text search and paginated retrieval of indexed documentation (PDFs, Markdown, text) through MCP tools, with filtering by category and file.

A unified MCP connector for Bangladeshi couriers, enabling parcel booking and tracking across multiple services through a single interface.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

Enables any MCP client to search, read, and install free Aura components, agent skills, images/clips, and DESIGN.md systems straight from the public catalogue over stdio, with no account, OAuth, or API key needed. It also returns install plans, token starters, starter kits, and trending/category data so agents can assemble landing pages and UI sections in a few calls.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

Analyzes codebases to automatically generate README, API docs, architecture diagrams, and CHANGELOG.

A Model Context Protocol server that fetches detailed API documentation from a local platform using a document ID. It enables language models to retrieve specific endpoint specifications to assist with tasks like code generation and API integration.

Automatically analyzes Python codebases and generates professional documentation including README, API docs, and setup guides.

Search and retrieve Agent2Agent (A2A) protocol documentation using full-text search and section filtering.

MCP server for Claude Code that generates a documentation skeleton from Git repository changes, outputting a Markdown file with placeholders for AI analysis.

Enables mortgage risk assessment and underwriting by calculating DTI, LTV, credit risk, income stability, and asset sufficiency, and by aggregating these factors into a loan recommendation with conditions and compensating factors.