About MCP Repo Mapper
MCP Repo Mapper scans local codebases and gives onboarding agents a deterministic view of repository structure without running code or calling an LLM. It combines language and framework detection with entry-point and Python dependency analysis.
Key features
- 01Repository file and language mapping
- 02Python dependency graph and cycle detection
- 03Framework and entry-point detection
- 04Cached repository structure resource
Use cases
- 01Map a codebase during agent onboarding
- 02Find Python dependency cycles
- 03Identify likely application entry points
MCP support
A FastMCP server exposing repository scans and related analysis as MCP tools, plus a cached JSON structure resource for MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
6Saved tool list · updated 3w ago
This tool takes no parameters.
Details
From the project READMEmcp-repo-mapper
mcp-repo-mapper is a FastMCP server for deterministic repository structure mapping. It scans a local codebase and exposes file structure, language counts, Python import dependencies, circular dependency detection, framework detection, entry point candidates, and a cached repo structure resource.
The server does not call an LLM and does not execute user code. It is intended as a grounded structure tool for codebase onboarding agents such as wayfinder.
Codebase Onboarding Stack
mcp-repo-mapper is the structure layer in a three-server MCP tool stack for Project 6 wayfinder, a codebase onboarding agent.
mcp-repo-mappermaps repository structure, languages, entry points, framework evidence, and Python dependency edges.mcp-ast-explorerprovides symbol-grounded Python definition, signature, reference, call-chain, and class-hierarchy lookups.mcp-test-runnerruns local pytest/Jest checks and coverage summaries so agent claims can be verified against execution.
In wayfinder, this server feeds the architecture-mapping step before semantic explanation or test verification begins.
Features
scan_repo(path)returns a typed repo scan with files, language breakdown, entry points, Python dependency graph, and detected frameworks.find_circular_deps(path)returns circular dependencies from the static dependency graph.language_breakdown(path)returns language counts by file count and bytes.detect_framework(path)detects FastAPI, Flask, Django, Express, and Spring using registry-based markers.find_entry_points(path)returns ranked entry point candidates such as Python mains, FastAPI apps, package start scripts, Dockerfiles, and Node indexes.repo-structure://{url_hash}returns a cached JSON scan result after a tool call has populated the cache.
Install
uv sync --extra dev
Run the server locally:
uv run mcp-repo-mapper
Development
uv run ruff check .
uv run mypy
uv run pytest
Resource Flow
Resource reads use a cache populated by tool calls:
- Call
scan_repo(path)or another scan-backed tool. - Compute the repo hash with the same path.
- Read
repo-structure://{url_hash}.
The public resource uses repo-structure://... because URL schemes cannot contain underscores.
Scope And Limitations
- Dependency graph support is currently Python-only and based on static
astparsing. - Import graph resolution only records modules that exist inside the scanned repo.
- Framework detection is heuristic marker matching, not a full build-system analysis.
- The resource cache is in-memory and process-local.
- The server scans local filesystem paths only.
License
MIT
Comments
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