baseline-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@baseline-mcpHow does today's temperature in San Francisco compare to normal?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 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 likecolorado_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.
pip install baseline-mcp
# or: uvx baseline-mcpThen add it to your MCP client's config, with your API key:
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.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 ModuleNotFoundErrors. Keep it that way.
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_KEYRun against a local Baseline instance (python3 app.py in ../baseline), then:
~/.venvs/baseline-mcp/bin/mcp dev src/baseline_mcp/server.pyStatus
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 as of 0.1.0.
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