MCP Server

Your Codebase Intelligence,
Inside Every AI Tool Your Team Uses

Code Swan's MCP server is a single integration that connects your AI coding assistants to your complete system intelligence, every API, cloud resource, service dependency, architecture boundary, and ownership assignment, derived from your real codebase and always current.

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Works with Cursor, Claude, GitHub Copilot, and any MCP-compatible AI tool.

What Code Swan Puts Into Your AI's Context

Everything Code Swan discovers about your codebase becomes available to your AI tools the moment you connect the MCP server.

API Surface Map Every endpoint exposed and consumed, with caller graphs and orphan detection
Cloud Resource Topology Every cloud connection your services make, across any provider, from code alone
Service Architecture Bounded contexts, domain ownership, and dependency graphs extracted from real code
Business Semantic Search A vector search tool agents call directly to answer business-intent questions
Dependency Risk Signals High-coupling hotspots, orphaned services, and fragile chains your agents can reason about
Living Software Catalog A queryable index of every service, API, owner, and capability, always current

Three Steps. Under Five Minutes.

Code Swan is cloud-hosted. No agents, no local installs, no codebase changes.

01

Connect your codebase

Add your repository to Code Swan. A scan runs automatically and builds your complete system intelligence catalog.

02

Get your MCP server credentials

From the Code Swan dashboard, copy your MCP server URL and authentication token.

03

Add it to your AI tool

Paste your URL and token into your AI tool's MCP server settings. The integration is live instantly, no code changes, no agents, nothing to deploy.

Frequently Asked Questions

What is MCP (Model Context Protocol)?

MCP is an open protocol developed by Anthropic that allows AI coding assistants to connect to external data sources and tools. An MCP server exposes structured data and callable tools that AI assistants access during a conversation, giving them accurate context beyond their training data.

What does Code Swan's MCP server expose?

Code Swan's MCP server exposes your complete codebase intelligence as queryable resources and tools: your full API surface map, cloud resource connections, service architecture, domain ownership, and a semantic vector search for answering business-intent questions. All of it is derived from static analysis of your source code.

Which AI tools support MCP?

Any AI coding assistant that implements the Model Context Protocol can connect to Code Swan. This includes Cursor, Claude (Anthropic), GitHub Copilot (in supported configurations), and other MCP-compatible tools. The ecosystem is growing rapidly as MCP adoption increases across the industry.

How long does setup take?

Connecting Code Swan's MCP server to an AI tool takes under five minutes: add your MCP server URL and token to your tool's settings and the integration is live. The initial codebase scan, which builds the intelligence catalog, runs automatically after you connect your repository.

Does adding the MCP server require any changes to my codebase?

No. Code Swan uses static analysis and a cloud-hosted MCP server. Nothing is installed in your codebase, no agents are deployed, and no runtime changes are required.

One Integration. Complete System Awareness.

Give your team's AI tools the codebase context they need to give accurate, grounded answers, from day one, for every engineer.

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