About lakelogic-mcp
lakelogic-mcp is a local MCP server for AI assistants working with Open Lakehouse Contracts (OLC). It uses LakeLogic to validate, lint, explain, test, and run contracts, while keeping file access within its project directory and never writing to a contract target.
Key features
- 01Validate OLC contract syntax
- 02Report governance findings and fixes
- 03Explain rules and contract structure
- 04Export Open Data Contract Standard
- 05Generate synthetic test data
- 06Run contracts locally with Polars or DuckDB
Use cases
- 01Check whether a newly written OLC contract is valid
- 02Find governance issues and understand their fixes
- 03Test a contract with intentionally invalid data
- 04Review passing and quarantined row counts
MCP support
It runs as a local stdio MCP server and exposes contract validation, linting, reference, data-generation, and execution tools to MCP clients. File access stays within the project directory where it was started.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
7Saved tool list · updated today
| Parameter | Type | Required | Description |
|---|---|---|---|
| path | any | No | |
| contract_yaml | any | No |
Details
From the project READMElakelogic-mcp
mcp-name: io.github.LakeLogic/lakelogic-mcp
A local MCP server that lets AI assistants (Claude Code, Claude Desktop, Cursor and any MCP client) check the Open Lakehouse Contracts (OLC) they write, using LakeLogic itself instead of guessing.
- Runs on your machine over stdio. No network, no account, no telemetry.
- Never touches a platform. Two tools act locally:
generate_test_datawrites a data file andrun_contractruns a contract on it with Polars or DuckDB. Nothing is written to a contract's target. - Reads and writes only inside the project folder it was started in.
Tools
| Tool | Answers |
|---|---|
validate_contract | Is this a legal OLC contract? Each error's location and problem |
lint_contract | Is it a good one? Governance findings from lakelogic lint, each with its fix |
explain_rule | Why does a lint rule exist? What it checks, why it matters, a failing and a fixed contract |
contract_reference | How is one part of a contract written? (anatomy, quality, materialization, …) |
export_odcs | The contract as an Open Data Contract Standard document |
generate_test_data | Synthetic data shaped by the contract, with a share of rows that deliberately break its rules |
run_contract | How many rows pass, how many are quarantined, and why (Polars or DuckDB, local only) |
Install
Claude Code (plugin):
/plugin marketplace add LakeLogic/lakelogic-mcp
/plugin install lakelogic-mcp@lakelogic-mcp
or directly: claude mcp add lakelogic -- uvx lakelogic-mcp
Cursor: Add to Cursor
Any other MCP client (VS Code, Claude Desktop, ...): run uvx lakelogic-mcp as a stdio server.
It is also listed in the official MCP Registry as
io.github.LakeLogic/lakelogic-mcp.
All of them need uv on your PATH.
Try it locally (development checkout)
cd C:\_Personal\_SaaS\lakelogic-mcp
uv venv .venv
uv pip install --python .venv\Scripts\python.exe "mcp>=1.2" pytest -e ..\open-lakehouse-contract -e ..\lakelogic
uv pip install --python .venv\Scripts\python.exe --no-deps -e .
.venv\Scripts\python.exe -m pytest
Register it with Claude Code
From the project whose contracts you want checked:
claude mcp add lakelogic -- C:\_Personal\_SaaS\lakelogic-mcp\.venv\Scripts\lakelogic-mcp.exe
Then ask, for example:
- "Lint the contracts in this folder and fix what you find."
- "Why is KEY-002 flagged on silver_trips.yaml?"
- "Write a silver contract for orders and check it before you show me."
Claude Desktop / Cursor
Add to the client's MCP settings (claude_desktop_config.json, or Cursor's mcp.json):
{
"mcpServers": {
"lakelogic": {
"command": "C:\\_Personal\\_SaaS\\lakelogic-mcp\\.venv\\Scripts\\lakelogic-mcp.exe",
"args": ["--root", "C:\\path\\to\\your\\contracts\\project"]
}
}
}
Once published
uvx lakelogic-mcp # Claude Code: claude mcp add lakelogic -- uvx lakelogic-mcp
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.