"Information about Aura Courier MCP server" matching MCP servers:

Aura Courier MCP

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

Enables AI agents to make purchases within user-defined budgets and spending limits using verified identities and PayPal-backed payments, while shops receive signed proof of what was allowed.

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.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Enables AI agents to create disposable email inboxes and automatically extract OTPs, magic links, and verification codes from incoming emails.

Community MCP wrapper for TCS Courier public APIs, enabling courier service interactions through natural language.

Enables AI agents on browserless or SSH-accessed machines to reach the Autolane service through a local stdio server that links once via a phone-based device grant.

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

Enables AI agents to interact with the Courier notification API, allowing them to send messages, manage profiles, debug deliveries, configure lists, and more through 60 tools.

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

Enables an Alexa+-style assistant to run household routines with cross-session memory of members, allergies, budgets, curfews and past decisions, autonomously re-planning when new observations contradict the original plan. It also serves card and carousel UI resources for screen detail and gates any spending behind an explicit spoken confirmation.

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.

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.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

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.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

Enables AI agents to run private computations on encrypted data using fully homomorphic encryption, supporting operations such as addition, mean, comparison, concatenation, and scientific functions without exposing plaintext inputs.

Enables Claude and ChatGPT to interact with AURA API for real-time DeFi portfolio analysis, swap execution, yield opportunities, and automated trading strategies across 200+ blockchain networks. Includes natural language swap parsing, cross-chain portfolio tracking, AI strategy automation, and risk management through guard engines.

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.

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 real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

Enables users to generate complete product-image sets from a single photo for platforms such as Amazon, Etsy, Shopify, TikTok Shop, and social ads, with options for language and image-pack customization. It also supports checking listing images against marketplace image rules before upload.

This MCP server enables users to analyze personal reading and media streams by computing Shannon entropy, detecting Jaccard redundancy and echo chambers, and ranking content sources by decibel SNR to produce pruning recommendations and high-signal curation.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.