Which integrations are available for this server?

Implements a voting pattern for parallel development using git worktrees, allowing users to create multiple implementations of the same task across different branches, evaluate them, and select the best one for merging

How do I use MCP Worktree Voting Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Worktree Voting Server create voting worktrees to add Redis caching to the user service" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP Servers

A collection of local MCP (Model Context Protocol) servers for data engineering and development workflows. All servers run locally via uv — no cloud accounts required.

Servers

Data Engineering

Server	File	Purpose
`duckdb`	`duckdb_server.py`	Query execution, schema inspection, data import/export
`sqlmesh`	`sqlmesh_server.py`	SQL transformation — model execution, planning, lineage
`dagster`	`dagster_server.py`	Orchestration — assets, jobs, schedules, sensors, runs
`dlt`	`dlt_server.py`	Data pipelines — sources, destinations, load operations
`soda`	`soda_server.py`	Data quality contracts — verify, validate, scaffold, history

Infrastructure

Server	File	Purpose
`docker`	`docker_server.py`	Container lifecycle, logs, exec, images, Compose-aware
`worktrees`	`worktree_server.py`	Git worktree creation and management for parallel development

Related MCP server: GitHub MCP Server

Setup

All servers are registered in .mcp.json and run via:

uv run --no-project --with fastmcp --with <deps> ./mcp-servers/<server>.py

Restart Claude Code after any changes to .mcp.json.

Server Notes

duckdb

Manages multiple named DuckDB connections. Supports querying local files (CSV, Parquet, JSON) and remote files (HTTP, S3, GCS). State persisted to .duckdb_state/.

sqlmesh

Wraps the SQLMesh CLI for model management. Requires a SQLMesh project directory set via SQLMESH_STATE_DIR. Supports plan generation, model execution, audits, and lineage introspection.

dagster

Wraps the Dagster CLI for asset and job management. Requires a Dagster workspace file. Supports asset materialization, job execution, schedule/sensor triggering, and run monitoring.

dlt

Manages dlt pipelines for loading data from REST APIs, databases, and files into destinations (DuckDB, etc.). State persisted to .dlt_state/.

soda

Runs Soda Core data quality contract verifications locally (no Soda Cloud). Expects a ./soda/ directory with:

soda/
  datasources/   # datasource YAML configs
  contracts/     # contract YAML files
  results/       # scan results (auto-created)

docker

Connects to Docker via Colima on macOS (~/.colima/default/docker.sock). Includes Compose-aware tools that read com.docker.compose.* labels.

worktrees

Creates isolated git worktrees branching from origin/main for running parallel Claude sessions on independent tasks.

This server cannot be installed

F

license - not found

-

quality - not tested

C

maintenance

How are these scores calculated?

Resources

GitHub Repository

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MCP Worktree Voting Server