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MeteoSource MCP Server for Cursor 5 tools — connect in under 2 minutes

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Vinkius supports streamable HTTP and SSE.

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Classic Setup·json
{
  "mcpServers": {
    "meteosource": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
MeteoSource
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About MeteoSource MCP Server

Empower your AI agent to orchestrate your entire meteorological research and weather auditing workflow with MeteoSource, the comprehensive source for hyper-local weather data. By connecting the MeteoSource API to your agent, you transform complex forecast searches into a natural conversation. Your agent can instantly search for monitored places, audit daily and hourly forecasts, and retrieve timezone metadata without you ever touching a weather portal. Whether you are planning outdoor events or conducting regional climate audits, your agent acts as a real-time meteorological consultant, ensuring your data is always precise and localized.

Cursor's Agent mode turns MeteoSource into an in-editor superpower. Ask Cursor to generate code using live data from MeteoSource and it fetches, processes, and writes. all in a single agentic loop. 5 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

  • Place Auditing — Search for thousands of global locations and retrieve high-resolution place IDs and geographic metadata.
  • Forecast Oversight — Audit comprehensive point forecasts, including current conditions, daily summaries, and hourly breakdowns.
  • Geographic Discovery — Find the nearest monitored place by latitude and longitude to maintain strict organizational control over local data.
  • Temporal Intelligence — Query timezone information for specific places to assist in time-sensitive logistics and event planning.
  • Operational Monitoring — Check API status to ensure your meteorological research workflow is always operational.

The MeteoSource MCP Server exposes 5 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect MeteoSource to Cursor via MCP

Follow these steps to integrate the MeteoSource MCP Server with Cursor.

01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

03

Save the file

Cursor will automatically detect the new MCP server

04

Start using MeteoSource

Open Agent mode in chat and ask: "Using MeteoSource, help me...". 5 tools available

Why Use Cursor with the MeteoSource MCP Server

Cursor AI Code Editor provides unique advantages when paired with MeteoSource through the Model Context Protocol.

01

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

02

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

03

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

04

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

MeteoSource + Cursor Use Cases

Practical scenarios where Cursor combined with the MeteoSource MCP Server delivers measurable value.

01

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

02

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

03

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

04

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

MeteoSource MCP Tools for Cursor (5)

These 5 tools become available when you connect MeteoSource to Cursor via MCP:

01

check_api_status

Check if the MeteoSource service is operational

02

get_nearest_weather_place

Find the nearest monitored place by latitude and longitude

03

get_place_timezone

Get timezone information for a specific place_id

04

get_point_forecast

Get weather forecast for a specific place_id

05

search_weather_places

Search for a place by name to get its place_id for forecasts

Example Prompts for MeteoSource in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with MeteoSource immediately.

01

"Get weather forecast for 'London' using MeteoSource."

02

"Search for weather station near latitude 48.8566 and longitude 2.3522."

03

"What is the timezone for place 'tokyo'?"

Troubleshooting MeteoSource MCP Server with Cursor

Common issues when connecting MeteoSource to Cursor through the Vinkius, and how to resolve them.

01

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
02

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

MeteoSource + Cursor FAQ

Common questions about integrating MeteoSource MCP Server with Cursor.

01

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
02

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
03

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
04

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

Connect MeteoSource to Cursor

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.