Dolt MCP Server

Dolt MCP Server

The Dolt MCP Server bridges AI assistants and Dolt’s version‑controlled SQL databases, enabling intelligent agents to perform full database lifecycle operations directly from conversational interfaces. By exposing a rich set of tools—ranging from schema manipulation to Git‑style branching—the server lets developers treat a database as both data and code, simplifying auditability, collaboration, and reproducibility.

Solving the “database‑in‑AI” gap

Traditional AI assistants can query static data sources, but they struggle with mutable schemas, transactional guarantees, or version histories. Dolt combines SQL with Git‑like version control, yet interacting with it still requires a database client or custom scripts. The MCP server abstracts these complexities, providing a uniform protocol that any Claude‑compatible assistant can call. This removes the need for bespoke integrations and lets teams focus on business logic rather than plumbing.

What the server does

• Database Management – Create, drop, and list databases with a single tool call.
• Table Operations – Full CRUD on tables: create, alter, drop, describe, and query.
• Version Control – Branch creation, commits, merges, and diffs mirror Git workflows, allowing data scientists to experiment safely.
• Data Operations – Insert, update, delete, and query rows are exposed as tools, giving agents the ability to manipulate data on demand.
• Remote Operations – Clone, fetch, push, and pull support distributed workflows across team members or CI pipelines.

These capabilities are delivered through the MCP tool interface, meaning a conversation can trigger a complex sequence—create a branch, run an analytics query, commit the results, and push to remote—all without leaving the chat.

Real‑world use cases

• Data Exploration – A data analyst asks an assistant to “summarize the sales table in a new branch” and receives a fresh schema with aggregated metrics, ready for review.
• Collaborative Modeling – Multiple developers can branch the same dataset, test hypotheses locally, and merge changes back into production, ensuring reproducibility.
• Automated Reporting – CI pipelines invoke the MCP server to pull the latest data, run queries, and commit results as versioned reports.
• Education & Prototyping – Students learn SQL and data engineering concepts by interacting with a live database through natural language, while the underlying version control guarantees safe experimentation.

Seamless AI workflow integration

The server offers two deployment modes: a lightweight stdio server ideal for desktop assistants and a scalable HTTP server suited for web apps or microservices. In either mode, the MCP protocol handles authentication, request routing, and response formatting automatically. Developers can configure connection details via command‑line flags or Docker environment variables, making the setup repeatable across environments.

Unique advantages

• Version‑controlled data – Treat every query result as a commit, enabling audit trails and rollback.
• Unified toolset – No separate SQL client or Git tooling; everything is accessible through a single protocol.
• Native AI compatibility – Designed from the ground up for Claude‑style assistants, eliminating bridging code.
• Cross‑platform – Works with any AI client that implements MCP, from desktop assistants to custom chatbots.

In short, the Dolt MCP Server turns a complex versioned database into an AI‑friendly resource, empowering developers and data scientists to write, test, and share data logic as naturally as they write code.