MCP server exposing Baseline's statistically rigorous weather and climate context as agent tools.
claude mcp add baseline-mcp -- uvx baseline-mcp{
"mcpServers": {
"baseline-mcp": {
"command": "uvx",
"args": ["baseline-mcp"],
"env": {
"BASELINE_API_URL": "<baseline_api_url>",
"BASELINE_API_KEY": "<baseline_api_key>"
}
}
}
}BASELINE_API_URLBASELINE_API_KEYMCP Servers overview
# baseline-mcp
<!-- mcp-name: io.github.elninyo-ops/baseline-mcp -->
MCP server exposing Baseline as agent tools — statistically rigorous weather and climate context, not just current conditions. Thin translation layer only: no climate logic lives here, every tool call is an HTTP request to the Baseline API. See `baseline_mcp_server_plan.md` in the Baseline project for the full design, and [`METHODOLOGY.md`](./METHODOLOGY.md) for how the underlying data and rankings are computed.
## Tools
- `get_climate_context` — natural-language weather and climate questions, full context back (forecast + 35-year historical percentile ranking).
- `get_context_for_coordinates` — same, for an exact lat/lon rather than a place name.
- `get_water_year_status` — precipitation/temperature status since the start of the water year (Oct 1 US / Jan 1 elsewhere), ranked against 35 years.
- `compare_to_normal` — how unusual current or forecast conditions are at one location.
- `compare_locations` — rank precipitation or temperature across 2-10 locations (or a curated category like `colorado_ski_resorts`) in a single call.
## Installation
Requires a Baseline API key. **Self-serve signup isn't available yet** — during this early period, contact Chad McNutt (chadmcnutt@gmail.com) for a key.
```bash
pip install baseline-mcp
# or: uvx baseline-mcp
```
Then add it to your MCP client's config, with your API key:
**Claude Desktop** (`~/Library/Application Support/Claude/claude_desktop_config.json`):
```json
{
"mcpServers": {
"baseline": {
"command": "uvx",
"args": ["baseline-mcp"],
"env": {
"BASELINE_API_URL": "https://api.baseline.example",
"BASELINE_API_KEY": "your-key-here"
}
}
}
}
```
**Claude Code**: `claude mcp add baseline --env BASELINE_API_URL=https://api.baseline.example --env BASELINE_API_KEY=your-key-here -- uvx baseline-mcp`
**Cursor** (`.cursor/mcp.json` or global MCP settings): same shape as the Claude Desktop config above, under whatever key Cursor's MCP settings use for server name.
## Local development
The venv lives outside this directory (`~/.venvs/baseline-mcp`) rather than in `.venv/` here, because this project sits under iCloud-synced `~/Documents` — iCloud evicts/re-materializes files inside large venvs unpredictably, which causes intermittent `ModuleNotFoundError`s. Keep it that way.
```bash
python3 -m venv ~/.venvs/baseline-mcp
~/.venvs/baseline-mcp/bin/pip install -e .
cp .env.example .env # fill in BASELINE_API_URL and a free_api-tier BASELINE_API_KEY
```
Run against a local Baseline instance (`python3 app.py` in `../baseline`), then:
```bash
~/.venvs/baseline-mcp/bin/mcp dev src/baseline_mcp/server.py
```
## Status
All 5 tools built and tested against a live local Baseline instance, including tool-selection validation in Claude Desktop. `METHODOLOGY.md` (trust collateral) complete. See `baseline_mcp_server_plan.md` in the Baseline project for full task history. **Published to [PyPI](https://pypi.org/project/baseline-mcp/) as of 0.1.0.**
What people ask about baseline-mcp
What is elninyo-ops/baseline-mcp?
+
elninyo-ops/baseline-mcp is mcp servers for the Claude AI ecosystem. MCP server exposing Baseline's statistically rigorous weather and climate context as agent tools. It has 0 GitHub stars and was last updated today.
How do I install baseline-mcp?
+
You can install baseline-mcp by cloning the repository (https://github.com/elninyo-ops/baseline-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is elninyo-ops/baseline-mcp safe to use?
+
elninyo-ops/baseline-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains elninyo-ops/baseline-mcp?
+
elninyo-ops/baseline-mcp is maintained by elninyo-ops. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to baseline-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy baseline-mcp to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/elninyo-ops-baseline-mcp)<a href="https://claudewave.com/repo/elninyo-ops-baseline-mcp"><img src="https://claudewave.com/api/badge/elninyo-ops-baseline-mcp" alt="Featured on ClaudeWave: elninyo-ops/baseline-mcp" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
The fastest path to AI-powered full stack observability, even for lean teams.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!