Codesurface FAQs

Question 1

How do I get started with Codesurface?

Accepted Answer

To get started, install Codesurface via `pip install codesurface`. Then, configure it in your project's `.mcp.json` file by setting the `--project` argument to your codebase directory. Restart your AI tool, and you can begin using its API lookup functions immediately.

Question 2

What is Codesurface and what does it do?

Accepted Answer

Codesurface is an MCP server that indexes your codebase's public APIs (classes, methods, fields) at startup. It provides AI agents with instant, token-efficient lookups, eliminating the need for them to read and parse entire source files.

Question 3

Which programming languages does Codesurface support?

Accepted Answer

Codesurface supports C# (.cs), Go (.go), Java (.java), Python (.py), and TypeScript/TSX (.ts, .tsx) projects, automatically detecting languages within your specified project directory.

Question 4

How does Codesurface reduce LLM token consumption for AI agents?

Accepted Answer

It significantly reduces token consumption by serving compact, structured API responses through its five distinct MCP tools. This avoids the high cost of AI agents reading and processing full source files, making interactions more efficient and cost-effective.

Question 5

What AI development tools are compatible with Codesurface?

Accepted Answer

Codesurface is compatible with any MCP-compatible AI development tools. This includes popular platforms like Claude Code, Cursor, and other AI agents that utilize the Model Context Protocol (MCP).

Codesurface

Codesurface

Key Features

Use Cases

Key Features

Use Cases