Visual Crossing Weather MCP — wraps the Visual Crossing Weather Timeline API
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add mcp-visualcrossing -- npx -y @pipeworx/mcp-visualcrossing{
"mcpServers": {
"mcp-visualcrossing": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-visualcrossing"]
}
}
}MCP Servers overview
# mcp-visualcrossing
Visual Crossing Weather MCP — wraps the Visual Crossing Weather Timeline API
Part of [Pipeworx](https://pipeworx.io) — an MCP gateway connecting AI agents to 1684+ live data sources.
## Tools
| Tool | Description |
|------|-------------|
| `weather_timeline` | Get daily weather for a location — works for BOTH historical weather (past dates) and forecast (future or no dates). Use this for HISTORICAL weather and "weather on a past date" questions, e.g. "what was the weather in Paris on 2023-07-04" (location: "Paris", start_date: "2023-07-04"). Pass start_date alone for a single day, or start_date + end_date for a range (weather timeline). Returns per-day temp/min/max, humidity, precipitation, wind, and conditions. Example: weather_timeline({ location: "London", start_date: "2024-01-01", end_date: "2024-01-07" }). |
| `current_conditions` | Get the live CURRENT weather conditions right now for a location — temperature, feels-like, humidity, wind, and conditions. Example: current_conditions({ location: "Tokyo" }). |
| `forecast` | Get the upcoming 15-day daily weather FORECAST for a location — per-day temp/min/max, humidity, precipitation chance, wind, and conditions. Example: forecast({ location: "Berlin" }). |
## Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
```json
{
"mcpServers": {
"visualcrossing": {
"url": "https://gateway.pipeworx.io/visualcrossing/mcp"
}
}
}
```
### What this endpoint actually serves
`tools/list` at `https://gateway.pipeworx.io/visualcrossing/mcp` returns the tools in the table
above **plus the shared Pipeworx meta-tools** — `ask_pipeworx`,
`discover_tools`, `search_within`, `remember`/`recall` and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's `initialize` response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
`ask_pipeworx`, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed
directly, instead of just this one's:
```json
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
```
Both URLs reach the same gateway and the same 1684+ data sources. The
only difference is which pack's tools are listed **directly**; `ask_pipeworx`
reaches all of them from either one.
## No MCP client? Call it over HTTP
```bash
curl -X POST https://gateway.pipeworx.io/v1/tools/weather_timeline \
-H 'Content-Type: application/json' \
-d '{"location":"Paris","start_date":"2023-07-04"}'
```
No account needed for the first calls. Inspect any tool: `GET https://gateway.pipeworx.io/v1/tools/weather_timeline`. Find one: `POST https://gateway.pipeworx.io/v1/tools/search_packs` with `{"query":"..."}`.
## Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no
gateway round-trip:
```json
{
"mcpServers": {
"visualcrossing": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-visualcrossing"]
}
}
}
```
Or run it directly to confirm it starts:
```bash
npx -y @pipeworx/mcp-visualcrossing
```
It speaks MCP over stdin/stdout and answers `initialize`/`tools/list`/`tools/call`
for **only** this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
## Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English —
this works on the pack endpoint above as well as on the full gateway:
```
ask_pipeworx({ question: "your question about Visualcrossing data" })
```
The gateway picks the right tool and fills the arguments automatically.
## More
- [Docs and guides](https://pipeworx.io/docs)
- [pipeworx.io](https://pipeworx.io)
## License
MIT
What people ask about mcp-visualcrossing
What is pipeworx-io/mcp-visualcrossing?
+
pipeworx-io/mcp-visualcrossing is mcp servers for the Claude AI ecosystem. Visual Crossing Weather MCP — wraps the Visual Crossing Weather Timeline API It has 0 GitHub stars and its last recorded update is dated 2026-09-26.
How do I install mcp-visualcrossing?
+
You can install mcp-visualcrossing by cloning the repository (https://github.com/pipeworx-io/mcp-visualcrossing) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is pipeworx-io/mcp-visualcrossing safe to use?
+
Our security agent has analyzed pipeworx-io/mcp-visualcrossing and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains pipeworx-io/mcp-visualcrossing?
+
pipeworx-io/mcp-visualcrossing is maintained by pipeworx-io. The last recorded GitHub activity is dated 2026-09-26, with 0 open issues.
Are there alternatives to mcp-visualcrossing?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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