Lakelogic MCP

Validate, lint, test-run and explain Open Lakehouse Contracts with LakeLogic, from any AI assistant.

Connector by LakeLogic · GitHub account verified by the MCP Registry

IndexedApache-2.0Local (stdio)

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/lakelogic-lakelogic-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Validate, lint, test-run and explain Open Lakehouse Contracts with LakeLogic, from any AI assistant.

Reviews

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Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 26, 2026.

Tools: 5 read · 2 write · 0 delete
Secrets: None asked for
Install scripts: None found
Runs as: Python package

Tools by what they do 7

Read from the source code; the running server may list different tools.

Read 5 · Look things up without changing anything.

contract_reference
explain_rule
export_odcs
lint_contract
validate_contract

Write 2 · Create, change, send or run things.

generate_test_data
run_contract

Network hosts it talks to 2

github.com · found in code
lakelogic.github.io · found in code

Files it touches

Any path the agent passes to its tools

Tools (7)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

contract_reference
Read the OLC reference for one part of a contract. Topics include anatomy (every key), quality, transformation, materialization, ingestion, security, slo, execution-order.
explain_rule
Explain one lint rule (e.g. KEY-002): what it checks, why it matters, a failing contract and the fixed contract. Use it when a lint finding is unclear.
export_odcs
Convert a contract file in this project to an Open Data Contract Standard (ODCS) document.
generate_test_data
Write synthetic test data for a contract (default test_data/<contract>.csv): right types, accepted values and ranges, with `invalid_ratio` of rows deliberately breaking the quality rules so a run shows quarantine working. Follow with run_contract.
lint_contract
Check whether a contract is a GOOD one: governance gaps such as a merge with no key, unordered deduplication, untagged personal data, a step no engine runs. Use it after validate_contract passes. Returns `clean` and findings, each with its rule code, severity and fix.
run_contract
Run a contract on a local data file (CSV/Parquet) with Polars or DuckDB: good rows, quarantined rows, and each quarantine reason with its count. Writes nothing to the contract's target. `write_outputs` saves good/bad rows under runs/.
validate_contract
Check whether a contract is LEGAL Open Lakehouse Contract (OLC): known keys, right shapes, required fields. Use it after writing or editing a contract. Give `path` (a file in this project) or `contract_yaml` (the text). Returns `valid` and, if not, each error's location and problem.

Signals

Stars: 0
Forks: 0
Open issues: 0
Weekly downloads: 220
Last commit: Oct 18, 2026 (12 days ago)
Last release: Oct 18, 2026 (12 days ago)
Last package publish: Oct 18, 2026 (12 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name: io.github.LakeLogic/lakelogic-mcp
Version: 0.1.2
Auth: No auth
Packages: pypi lakelogic-mcp
License: Apache-2.0
Repository: github.com/LakeLogic/lakelogic-mcp
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

Cite this page

Lakelogic MCP. Agent Mart. https://agentmart.dev/connectors/lakelogic-lakelogic-mcp (last updated 2026-10-24)