MCP Diff Server

Overview

The Tatn MCP Server Diff Typescript is a lightweight Model Context Protocol (MCP) server that supplies a single, highly focused tool: unified diff generation. In many AI‑assistant workflows—especially those that involve code review, documentation updates, or version control automation—developers need a reliable way to compare two pieces of text and highlight the precise changes. This server fills that niche by exposing a concise API that takes two strings (an old version and a new version) and returns a unified diff that includes three lines of context around each change. The underlying package guarantees accurate, line‑level comparison while keeping the output human‑readable and compatible with standard diff consumers.

What Problem Does It Solve?

When building AI assistants that interact with codebases or collaborative documents, a common requirement is to present changes in a clear, structured format. Traditional diff tools are command‑line utilities or web services that often require additional setup or lack an API for programmatic use. This MCP server removes those hurdles by offering a ready‑to‑use, language‑agnostic endpoint that any Claude or other MCP‑compliant client can call directly. It eliminates the need to invoke external processes, parse raw diff output, or manage temporary files—streamlining the assistant’s ability to generate change summaries on demand.

Core Features and Capabilities

• Unified Diff Tool: Exposes a single tool that accepts two mandatory string parameters (, ).
• Contextual Output: The diff includes three lines of surrounding context, making it easier for users to understand the changes in situ.
• Reliable Diff Engine: Built on the well‑tested npm package, ensuring consistency with industry standards and minimizing false positives.
• TypeScript Implementation: Provides type safety for developers who prefer typed APIs, reducing runtime errors and improving IDE support.
• MCP‑Ready: Fully conforms to the MCP specification, allowing seamless discovery and invocation by any compliant AI assistant or workflow orchestrator.

Use Cases & Real‑World Scenarios

• Automated Code Review Bots: A Claude agent can request the diff of a pull request’s proposed changes and then generate concise review comments or highlight potential issues.
• Documentation Versioning: When a document is updated, the assistant can produce a diff that pinpoints additions or deletions, aiding editors in tracking revisions.
• Continuous Integration Pipelines: CI tools can expose the diff to an AI assistant that analyzes whether changes affect critical sections of code, automatically tagging or blocking merges.
• Educational Tools: Tutors can use the diff output to show students exactly where their code diverges from a reference solution, facilitating targeted feedback.

Integration into AI Workflows

Developers can add this server to their Claude Desktop configuration or any MCP‑enabled environment with a simple JSON entry that points to the server’s executable. Once registered, an AI assistant can call as part of a larger prompt or workflow, passing the relevant text snippets and receiving the diff in JSON. The assistant can then embed the diff into responses, attach it to version control comments, or trigger downstream actions such as linting or test runs.

Unique Advantages

• Zero‑Dependency Deployment: The server is a single, self‑contained TypeScript package that can be run via or as a global CLI, requiring no external services.
• Standardized Output: By adhering to the unified diff format, the output is immediately usable by other tools (e.g., GitHub pull request comments, diff viewers).
• Developer‑Friendly: The clear API surface and TypeScript typings make it approachable for developers familiar with Node.js ecosystems, reducing onboarding time.

In summary, the Tatn MCP Server Diff Typescript offers a focused, high‑quality diff generation capability that plugs directly into AI assistant workflows. Its simplicity, reliability, and compliance with MCP make it an attractive choice for developers looking to add precise text comparison functionality without the overhead of external tooling.