Codemunch Pro
Index your repo for hybrid search, call graphs, and fast symbol retrieval so your agent navigates large codebases without rereading every file.
Overview
CodeMunch Pro is a MCP server for the Build phase that indexes repositories with 15 tools, hybrid search, call graphs, and fast retrieval across 10 languages.
What is this MCP server?
- 15 MCP tools for code intelligence and navigation
- 10 programming languages supported in the index
- Hybrid search plus call graphs and O(1) retrieval claims for hot paths
- PyPI package codemunch-pro v1.2.0 with stdio transport
- 10 supported languages
- Package version 1.2.0 on PyPI
Community signal: 2 GitHub stars.
What problem does it solve?
Large repos make your agent burn context re-reading files and still miss call chains and symbol relationships.
Who is it for?
Indie devs with multi-language monorepos who want MCP-native codebase maps during daily feature and refactor work.
Skip if: Tiny one-file prototypes where ripgrep and open files are enough, or teams that forbid local indexing daemons.
What do I get? / Deliverables
Your agent queries an indexed graph and hybrid search so navigation and refactors stay precise with fewer blind edits.
- Indexed workspace queryable via 15 MCP tools
- Call-graph and hybrid search answers in agent sessions
- Faster targeted edits with less full-file churn
Recommended MCP Servers
Journey fit
Code indexing pays off while you are actively building and refactoring, when navigation cost dominates ship or launch work. Integrations covers MCP servers that plug structured repository intelligence into the agent loop alongside git and IDEs.
How it compares
Local code-indexing MCP with 15 tools, not a hosted SaaS code search product or a single-purpose linter skill.
Common Questions / FAQ
Who is CodeMunch Pro for?
Solo builders and small teams using Claude Code, Cursor, or Codex who need structured repo search and call graphs inside MCP workflows.
When should I use CodeMunch Pro?
Use it during active build work on medium or large codebases when the agent must trace symbols, callers, and cross-language references reliably.
How do I add CodeMunch Pro to my agent?
Install codemunch-pro from PyPI, register the stdio MCP server in your client config per the GitHub README, and point it at the workspace you want indexed.