MeteoSource MCP Server for Claude Code 5 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add MeteoSource as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
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# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add meteosource --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* 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.
Claude Code registers MeteoSource as an MCP server in a single terminal command. Once connected, Claude Code discovers all 5 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where MeteoSource data drives decisions without human intervention.
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 Claude Code 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 Claude Code via MCP
Follow these steps to integrate the MeteoSource MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using MeteoSource
Ask Claude: "Using MeteoSource, show me...". 5 tools are ready
Why Use Claude Code with the MeteoSource MCP Server
Claude Code provides unique advantages when paired with MeteoSource through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using MeteoSource tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
MeteoSource + Claude Code Use Cases
Practical scenarios where Claude Code combined with the MeteoSource MCP Server delivers measurable value.
CI/CD integration: embed MeteoSource tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query MeteoSource nightly and generate reports without human intervention
Shell scripting: pipe MeteoSource outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query MeteoSource status endpoints and alert on anomalies
MeteoSource MCP Tools for Claude Code (5)
These 5 tools become available when you connect MeteoSource to Claude Code via MCP:
check_api_status
Check if the MeteoSource service is operational
get_nearest_weather_place
Find the nearest monitored place by latitude and longitude
get_place_timezone
Get timezone information for a specific place_id
get_point_forecast
Get weather forecast for a specific place_id
search_weather_places
Search for a place by name to get its place_id for forecasts
Example Prompts for MeteoSource in Claude Code
Ready-to-use prompts you can give your Claude Code agent to start working with MeteoSource immediately.
"Get weather forecast for 'London' using MeteoSource."
"Search for weather station near latitude 48.8566 and longitude 2.3522."
"What is the timezone for place 'tokyo'?"
Troubleshooting MeteoSource MCP Server with Claude Code
Common issues when connecting MeteoSource to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
MeteoSource + Claude Code FAQ
Common questions about integrating MeteoSource MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect MeteoSource with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Microsoft's framework for multi-agent collaborative conversations.
Connect MeteoSource to Claude Code
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
