{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_je2hs767fb3v","handle":"iflow-mcp-pradumnasaraf-aviationstack-mcp","url":"https://wellknown.network/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-pradumnasaraf-aviationstack-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-pradumnasaraf-aviationstack-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_pradumnasaraf_aviationstack-mcp","summary":"An MCP server using the AviationStack API to fetch real-time flight data including airline flights, airport schedules, future flights and aircraft types","description":"## Aviationstack MCP Server\n\nThis project is an **MCP (Model Context Protocol) server** that provides a set of tools to interact with the [AviationStack API](https://aviationstack.com/). It exposes endpoints for retrieving real-time and future flight data, aircraft types, and airplane details, making it easy to integrate aviation data into your applications.\n\nYou can also find the Aviationstack MCP server in these well-known MCP server repositories for easy access:\n\n- [modelcontextprotocol/servers](https://github.com/modelcontextprotocol/servers?tab=readme-ov-file#-community-servers)\n- [punkpeye/awesome-mcp-servers](https://github.com/punkpeye/awesome-mcp-servers?tab=readme-ov-file#-travel--transportation)\n- [glama](https://glama.ai/mcp/servers/@Pradumnasaraf/aviationstack-mcp)\n\n### Demo\n\nhttps://github.com/user-attachments/assets/9325fcce-8ecc-4b01-8923-4ccb2f6968f4\n\n### Features\n\n- **Get flights for a specific airline**\n- **Retrieve arrival and departure schedules for airports**\n- **Fetch future flight schedules**\n- **Get random aircraft types**\n- **Get detailed info on random airplanes**\n- **Get detailed info on random countries**\n- **Get detailed info on random cities**\n\nAll endpoints are implemented as MCP tools and are ready to be used in an MCP-compatible environment.\n\n### Prerequisites\n\n- Aviationstack API Key (You can get a FREE API Key from [Aviationstack](https://aviationstack.com/signup/free))\n- Python 3.13 or newer\n- uv package manager installed\n\n### Available Tools\n\n| Tool | Description | Parameters |\n|------|-------------|------------|\n| `flights_with_airline(airline_name: str, number_of_flights: int)` | Get a random sample of flights for a specific airline. | - **`airline_name`**: Name of the airline (e.g., \"Delta Air Lines\")<br> - **`number_of_flights`**: Number of flights to return |\n| `flight_arrival_departure_schedule(airport_iata_code: str, schedule_type: str, airline_name: str, number_of_flights: int)` | Get arrival or departure schedules for …","publisher":null,"homepage":"https://github.com/pradumnasaraf/aviationstack-mcp","repository":"https://github.com/pradumnasaraf/aviationstack-mcp","version":"1.4.0","license":null,"protocols":["mcp"],"tags":["ai","llm","mcp","model-context-protocol","server"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_pradumnasaraf_aviationstack-mcp","type":"package_pypi","auth":null,"probeable":false,"listed":true}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"commerce.travel","name":"Travel & Booking","confidence":0.791,"provenance":"derived"}],"categories":["commerce"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_pradumnasaraf_aviationstack-mcp","registry":"pypi","observedAt":"2026-11-09T10:23:22.894Z","publishedAt":"2026-01-19T04:22:51.477767Z","latestVersion":"1.4.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_pradumnasaraf_aviationstack-mcp","url":"https://pypi.org/project/iflow-mcp_pradumnasaraf_aviationstack-mcp/","firstSeenAt":"2026-09-09T20:25:09.683Z","fetchedAt":"2026-11-09T10:21:50.696Z","normalizedAt":"2026-11-09T10:21:50.696Z"}]},"firstSeenAt":"2026-09-09T20:25:09.683Z","updatedAt":"2026-11-09T10:23:22.894Z"}