Aider MCP WebSocket Server

Aider MCP Server – Experimental
The Aider MCP Server is a lightweight bridge that lets Claude Code delegate complex AI‑driven coding tasks to the open‑source assistant Aider. By offloading work, developers can keep Claude focused on orchestration—reviewing, refining, and merging code—while Aider handles the heavy lifting of generating or refactoring files. This separation reduces cost, improves control over model choice, and enables a more modular AI workflow that can be tailored to specific projects or teams.

The server exposes two primary capabilities. First, the tool accepts a natural‑language prompt and a list of target files, then invokes Aider with the chosen editor model (e.g., Gemini‑2.5‑Pro, Quasar‑Alpha, or Llama4). Aider performs the requested changes and returns a success status that Claude can interpret. Second, allows clients to query the server for available models that match a given substring, making it easy to discover and switch between different AI backends without leaving the MCP ecosystem.

For developers, this means a seamless integration into existing Claude Code workflows. Aider can be added as an MCP server via the command, specifying the desired model and project directory. Once registered, any Claude Code session can invoke as a tool call, letting the assistant focus on higher‑level reasoning while Aider handles code generation. The server also supports environment variable configuration, so you can inject any API key required by the underlying model—whether it’s OpenAI, Gemini, Anthropic, or a custom endpoint.

Real‑world use cases include large codebase refactoring, automated test generation, or iterative feature development where a dedicated model better understands the project’s context. Because Aider runs locally, latency is minimal and data privacy is preserved—critical for proprietary codebases. Additionally, the server’s ability to list supported models empowers teams to experiment with new AI engines on a per‑project basis, optimizing performance and cost without reconfiguring their entire development stack.

In summary, the Aider MCP Server offers developers a flexible, cost‑effective way to enrich Claude Code with powerful open‑source AI coding capabilities. By decoupling orchestration from execution, it delivers a scalable workflow that adapts to diverse models and project requirements while keeping the developer’s focus on high‑level design and review.