Aica MCP Server

Aica – AI Code Analyzer

Aica is an open‑source MCP (Model Context Protocol) server that turns a local codebase into an intelligent, conversational coding assistant. By exposing MCP resources over stdio or SSE transports, it lets any Claude‑compatible client query the server as if it were a native tool. This eliminates the need for cloud‑hosted code review services and gives developers full control over how AI interacts with their repositories.

The server solves a common pain point: existing code‑review bots are either tightly coupled to specific hosting platforms (e.g., GitHub) or closed source, limiting customization and integration. Aica is platform‑agnostic, configurable via a simple file, and can be packaged as a single binary. It supports multiple LLM providers—Anthropic, OpenAI, and Google Gemini—so teams can choose the model that best fits their workflow or budget. The configuration also allows language selection, making it useful for multilingual teams.

Key capabilities include:

• AI Coding Agent that can generate code, refactor snippets, or execute tasks based on natural‑language prompts.
• AI Code Review that automatically scans diffs, retrieves relevant code and documentation through symbol‑based or vector search, and produces summaries of changes along with commit messages.
• Pull‑request automation that creates PRs with AI‑generated titles and bodies, streamlining CI/CD pipelines.
• Slack notifications for instant collaboration feedback.
• GitHub Actions integration, enabling Aica to run as part of a CI workflow without manual setup.

Real‑world scenarios are plentiful. A solo developer can run locally to get instant feedback on a PR before pushing, while a team can integrate Aica into GitHub Actions to enforce consistent code quality checks on every merge. In an enterprise setting, the open‑source nature allows internal tooling teams to extend or rehost Aica behind a firewall, ensuring data privacy. The agent mode also supports interactive conversations, making it ideal for pair‑programming sessions or on‑the‑fly debugging.

Aica’s MCP interface means it can be plugged into any AI assistant that understands the protocol. A client sends a prompt or diff; the server returns structured actions, which the assistant can then execute—whether that’s updating a file, opening an issue, or posting to Slack. This tight coupling between language models and the repository’s state gives developers a powerful, context‑aware partner that scales from individual projects to large monorepos.