Cartograph
Give your agent a map of the repo—ranked files, dependencies, and task-focused context—before large refactors or unfamiliar codebases.
Overview
Cartograph is a MCP server for the Build phase that analyzes repos and returns ranked files, dependency maps, and task-scoped context for coding agents.
What is this MCP server?
- Ranked file lists tuned to agent navigation
- Dependency maps for impact-aware edits
- Task-scoped context to shrink prompt noise
- npm stdio package @anthony-maio/cartograph v1.1.4
- Built for coding agents working in existing repositories
- Server version 1.1.4
- npm identifier @anthony-maio/cartograph
- stdio MCP transport
What problem does it solve?
Agents waste tokens and make risky edits when they lack a structured view of which files matter and how they depend on each other.
Who is it for?
Solo builders jumping into legacy repos, monorepos, or forked OSS where orientation time dominates the first day.
Skip if: Greenfield empty folders, non-code assets only, or teams that already enforce a rigid architecture doc with no agent access.
What do I get? / Deliverables
After registration, your agent can request repo analysis and work from ranked, task-scoped context instead of blind directory walks.
- Agent-callable repo analysis with ranked files
- Dependency-aware context for safer multi-file edits
- Task-scoped context bundles per agent request
Recommended MCP Servers
Journey fit
How it compares
Repo cartography MCP server, not a test runner, linter skill, or deployment integration.
Common Questions / FAQ
Who is Cartograph for?
Developers using AI agents who need fast repo orientation with ranked files and dependency awareness.
When should I use Cartograph?
Use at the start of build work, validate scoping, or pre-review when the agent must understand structure before editing.
How do I add Cartograph to my agent?
Install @anthony-maio/cartograph as a stdio MCP server in your client config and point it at the repository root you want analyzed.