Code Analysis MCP Server

If you already use Code Analysis, the code analysis mcp server is the piece that lets your assistant work with it directly. Enables AI models to understand and analyze codebases through natural language conversations.

Available tools

The toolset is worth reading before you wire it up, because it tells you what the integration is really for:

• Amount — Fee calculations
• initialize_repository — Initialize a code repository for analysis: python initialize_repository("/path/to/repo")
• get_repo_info — Retrieve information about the initialized repository: python get_repo_info()
• get_repo_structure — Examine repository file structure: python get_repo_structure(depth=2)
• read_file — Read and analyze specific files: python read_file("src/api/models.py")

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Where it fits

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Code Analysis's toolset — Amount, initialize_repository, get_repo_info and 2 more — is a fair guide to whether it matches your workflow. It is maintained by saiprashanths; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Worth knowing first

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.