baseline-mcp

Purpose: Giving AI agents reliable historical climate context instead of invented weather information.

Inferred · not functionally tested

Audience: AI agent developers and climate-data users

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: baselinecontext.com · github.com. These links do not verify the individual claims.

In the Frameworks & runtimes space, baseline-mcp takes a focused approach. Inferred · not functionally tested: It focuses on giving AI agents reliable historical climate context instead of invented weather information. Inferred · not functionally tested: It is built as an open-source project for AI agent developers and climate-data users. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: baseline-mcp is available on the web, the command line, and API, and it can be self-hosted.

elninyo-ops builds and maintains baseline-mcp, and it first shipped in 2026. The project is developed in the open on GitHub with 28 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include point climate lookup, 35-year records, and station cross-checking. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.