jedify-lens 0.1.0

MCP server for data warehouse schema context generation. Works with any connected database MCP server (Snowflake, BigQuery, Postgres) to generate semantic YAML context.

jedify-lens

MCP server that connects Claude to your data warehouse and generates rich semantic context YAML for every table and column — business labels, descriptions, semantic types, and example questions. Powers the schema-context Claude skill. Standalone — no dependency on Jedify's backend.

Install

pip install jedify-lens

Or, recommended for MCP servers, run it on demand with uvx:

uvx jedify-lens

How it works

jedify-lens does not connect to your warehouse itself, so it needs no warehouse credentials. It works through whatever database MCP server you already have connected (Snowflake, BigQuery, PostgreSQL/Redshift): Claude reads your schema and sample rows through that database server, generates the semantic enrichment, and jedify-lens writes the structured YAML to disk.

Tools

• check_registration_tool — check sign-in state (call this first)
• login_tool — open the Descope sign-up / sign-in page in the browser
• save_company_context_tool(context) — save optional company/dataset context to improve enrichment
• export_context_yaml_tool(enriched_context, output_path, warehouse_type) — write the schema-context YAML file

Authentication

Sign-in uses Jedify's Descope inbound app via a public-client OAuth Authorization Code + PKCE flow — there is no client secret. The production project is baked in, so end users need no auth configuration. Developers can point at a non-prod project with the DESCOPE_BASE_URL and DESCOPE_CLIENT_ID environment variables (both are public identifiers).

License

MIT — jedify.com