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.
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.
How Your Agents Explore Your Code
Your AI agents explore your codebase the way a senior engineer does, top-down and with context, instead of grepping blind. They scope the repo structurally, then read only what matters.
Reads your architecture, not just your files
Every directory is annotated with what it is, who owns it, and its type, straight from your catalog. The agent knows a folder is the billing service owned by Payments, not just that files exist there. It is context a raw file listing can never carry.
Scopes top-down, the way a senior engineer would
Instead of a flat wall of paths, the agent walks a depth-controlled, paginated directory tree with hints guiding the next call. It drills down deliberately, scope before you read, rather than grepping blind.
No wasted tokens on noise
Vendored directories, lock files, and binaries are filtered out, so the agent spends its budget on your code, not node_modules. Answers come back faster and cost less.
From file to owner to blast-radius
Ownership and dependency follow-through are built into the exploration flow. The agent moves from "where does this live" to "who owns it and what depends on it" in one pass, grounded in your live catalog.
Three Steps. Under Five Minutes.
Code Swan is cloud-hosted. No agents, no local installs, no codebase changes.
Connect your codebase
Add your repository to Code Swan. A scan runs automatically and builds your complete system intelligence catalog.
Get your MCP server credentials
From the Code Swan dashboard, copy your MCP server URL and authentication token.
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.