dataform-context-mcp

Purpose: Giving coding agents structured, deterministic access to Dataform pipeline lineage, schemas, and layers.

Inferred · not functionally tested

Audience: analytics engineers and developers building coding-agent workflows

Inferred · not functionally tested

Functions: agents, 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 · deployment: cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

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

dataform-context-mcp sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: It focuses on giving coding agents structured, deterministic access to Dataform pipeline lineage, schemas, and layers. Inferred · not functionally tested: It is built as an open-source project for analytics engineers and developers building coding-agent workflows. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: dataform-context-mcp is available on the command line and API, and it can be self-hosted.

It is developed by vgossiaux, and it first shipped in 2026. The project is developed in the open on GitHub with 40 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include pipeline lineage, schema access, and layer context. Inferred · not functionally tested: Catalogued interfaces include an MCP server.

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