Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.

MCP service for Airbnb listing search and details query

An MCP server that provides read and write access to the Airtable database, supporting LLMs to view the database schema and manipulate records

AiryLark MCP is a professional - level translation service interface. It uses a three - phase process to ensure translation quality, supports multi - language translation and domain term recognition, and is suitable for professional scenarios such as technical documents and academic papers.

This project is an MCP server based on the AviationStack API. It provides query tools for real-time and future flight data, aircraft types, and detailed information, facilitating the integration of aviation data into applications.

A Node.js - based Airtable MCP server that provides functions for programmatically managing Airtable bases, tables, fields, and records, and supports operations through MCP clients such as Claude Desktop.

An MCP protocol server implemented for Apache Airflow, providing a standardized interface to interact with Airflow

An MCP server based on TypeScript for generating commit messages from git staged files, supporting the Gitflow workflow and branch management.

The AQICN MCP Server is a service that provides global air quality data, supporting real-time air quality information queries by city name or geographical coordinates.

The Aviationstack MCP server is a service based on the Model Context Protocol, providing tools for interacting with the AviationStack API to obtain aviation data such as real-time flights, future flights, and aircraft types.

The Binalyze AIR MCP Server is a Node.js server implementing the Model Context Protocol (MCP), providing natural - language interaction capabilities for the Binalyze AIR digital forensics and incident response platform. It supports various functions such as asset management, evidence collection, endpoint operations, and policy management, authenticates through API tokens, and can be integrated with MCP clients such as Claude and Cursor.

The GeoFS MCP server is a model context protocol server designed for the GeoFS flight simulator, which allows AI models to control the aircraft and obtain real-time flight data through HTTP and WebSocket interfaces.

An enterprise HR token airdrop system based on the Solana blockchain, providing functions such as wallet management, token creation, and liquidity management, supporting role allocation and email notification.

The configuration and dependency project directory of the Airtable MCP Server, supporting interaction with Airtable bases through Cursor, including listing, searching, creating, and updating records.

An MCP server for controlling Airflow through the Airflow API

A production-level Airtable MCP server based on OAuth 2.0 authentication, providing complete Airtable API coverage and a standardized MCP interface, supporting AI assistants to interact with Airtable.

A TypeScript-based MCP server for generating commit messages from git staged files, supporting conventional commit formats and Gitflow workflow management.

An MCP service that obtains current and past 24 - hour data from air quality monitoring stations in various locations across Taiwan

An enterprise HR token airdrop tool based on the Solana blockchain, supporting role - based allocation and email notifications

Airtable MCP is a tool for directly operating Airtable data using natural language, supporting functions such as querying, creating, updating, and deleting records.

Unofficial AirNow MCP server, which integrates LLMs with the AirNow air quality API through the Model Context Protocol, providing functions for querying real - time, forecast, and historical air quality data.

Airtable MCP is a service that connects AI tools with Airtable, supporting querying, creating, updating, and deleting records through natural language. It includes functions such as basic management, table operations, schema operations, record filtering, and data migration.

The Airtop MCP Server is a toolset that provides browser automation services, supporting functions such as session creation, window management, and page query. It can be integrated and used through the Claude application.

An MCP server based on Flightradar24 that provides an access interface for flight tracking data, including functions for querying flight, airport, airline, and aircraft information.

This is an MCP service for Airbnb listing search and detail query, providing structured data and direct links, working without an API key and complying with robots.txt rules.

The Airbrake MCP Server is used to query errors, manage deployments, and obtain project statistics.

An MCP service for obtaining current and past 24 - hour data of air quality monitoring stations across Taiwan

An MCP server for searching and retrieving Airbnb listing details, providing direct links and structured data.

Real-time flight tracking service that provides real-time flight data for AI assistants, supporting searching, tracking, and analyzing aircraft activities.

An MCP server for controlling Dyson air purifiers and fans, supporting functions such as getting device status, adjusting wind speed, setting oscillation mode, and checking air quality.

A TypeScript-based MCP server focused on asset generation services

Fast - PyAirbyte is a tool that quickly generates Airbyte data pipelines through natural language, supports over 600 connectors, and simplifies ETL process development.

An Apache Airflow MCP server supporting Bearer token authentication, providing seamless integration with Astronomer Cloud and standalone Airflow instances, and implementing full encapsulation of the Airflow REST API functions.

An MCP service for obtaining current and past 24 - hour data from air quality monitoring stations in various locations in Taiwan

MCPilot is an AI chatbot that integrates real-time tools (such as DuckDuckGo, Airbnb, and weather APIs), providing context-aware real-time queries and task assistance through the Gradio front-end and GROQ backend.

An example application based on the MCP protocol for checking Airbyte connection status

Airbnb search and listing information desktop extension, providing advanced search filtering functions and detailed listing information retrieval. It supports various query conditions such as location search, date filtering, and price range, and complies with the robots.txt protocol to ensure compliant use.

This project demonstrates how to integrate the Airbnb MCP server with LangChain and Groq through a browser interface, providing detailed setup steps from scratch and a quick start guide using an existing repository.

An MCP server integrated with Apache Airflow, providing DAG management, monitoring, and operation functions

This project is an MCP server based on Node.js and Express.js, used to interact with the OpenWeather API to obtain air pollution data based on latitude and longitude or city and country, and implement secure API key management.