For Developers

Stop rereading files. Start shipping.

You’ve watched it happen: the agent opens three whole files to find one function, and every one of them stays in the conversation. jCodeMunch hands it the function instead.

What changes when you install it

🔥

Symbol-level retrieval, not file dumps

Agent asks "show me handle_request": gets the exact source of the symbols it asked for, not whole files. tree-sitter-parsed, byte-offset O(1) seeking.

⚡

One-command init

jcodemunch-mcp init detects your client (Claude/Cursor/Windsurf), writes config, installs hooks, indexes the project, and audits token waste in your existing setup.

🔗

Claude Code hooks

PreToolUse, PostToolUse, PreCompact, TaskCompleted, SubagentStart. They re-index a file after the agent edits it, save a checkpoint before compaction and leave you a note when a task completes.

📊

Structural queries Grep can't answer

get_blast_radius, get_call_hierarchy, find_dead_code, get_dependency_cycles, get_layer_violations, check_rename_safe. A new install starts on a six-tool front door (menu, order and route do the work), with all 90+ tools behind it. AST-grade, not regex-guess.

🌐

79 languages

Python, JS/TS, Go, Rust, Java, C/C++, PHP, C#, Ruby, Kotlin, Swift, Dart, Elixir, Erlang, SQL, Razor/Blazor, Pascal, COBOL, Zig, PowerShell … and more, 79 languages in all.

🔌

Model-agnostic

Works with Claude, GPT, Gemini, Groq Remote MCP. Local ONNX embeddings bundled: zero-config first run. AI summarizer falls through Anthropic → Gemini → OpenAI-compat → signature.

What one lookup looks like (illustrative token counts)

Without jCodeMunch
  • ✕ Agent reads middleware/auth.py (8K tokens)
  • ✕ Then routes/api.py (12K tokens)
  • ✕ Both files stay in the conversation for every later request
  • ✕ It needed one function from each
  • ✕ 40% timeouts; 72% task success with Grep/Glob/Read (one outside test, one codebase, 25 runs per arm, Sonnet 4.6, March 2026)
  • ✕ Finding the callers means another search and more files
With jCodeMunch
  • ✓ Agent calls get_symbol_source("require_auth") → 380 tokens
  • ✓ Calls get_call_hierarchy → 1.2K tokens
  • ✓ Only those results join the conversation
  • ✓ Per lookup: 96.2% fewer tokens than grep-and-read on our 15-lookup benchmark (express, fastapi and gin at pinned commits, cl100k)
  • ✓ 32% timeout rate; 80% task success (one outside test, one codebase, 25 runs per arm, Sonnet 4.6, March 2026)
  • ✓ Callers and importers come from the index, not more file reads
Run the 60-second proof → Install Free

Writing a Claude Code plugin? Give its agents jCodeMunch's tools. Want the habits that cut tokens with or without us? How to save Claude Code tokens.

Verified by practitioners

Four signals. Four buyer emotions.

Efficiency
5×

"Roughly 5× more efficient context retrieval."

Artur Skowroński · VirtusLab
Reasoning Quality
Tokens for thinking, not retrieval

"Preserves your context budget for actual reasoning."

Sion Williams
Structural Depth
Queries native tools can't answer

"Structural questions you simply can't ask Grep or Glob."

Traci Lim · Amazon Web Services
Scarcity Economics
Context is the scarce resource

"The whole game is what you choose not to put in the prompt."

Eric Grill
96.2%
fewer tokens per lookup
80%
A/B task success rate (one outside test, one codebase, 25 runs per arm, Sonnet 4.6, March 2026)
32%
timeouts (vs 40% baseline)
16,000+
tests passing