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jcodemunch-mcp
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jcodemunch-mcp

Active·★ 2.8k·NOASSERTION·Updated 2026-10-27
★ Essential★ Trending

jCodeMunch is an MCP server for code retrieval. It indexes a local folder or a GitHub repository once with tree-sitter, stores symbol metadata plus byte offsets into the original source, and then lets an agent fetch just the function, class, method or constant it needs, along with outlines and scoped context bundles. The README's pitch is that agents normally open whole files and skim thousands of irrelevant lines, and symbol-level retrieval avoids that.

The README claims 95% or more reduction in code-reading tokens, citing a benchmark of 15 tasks on 3 repositories with a 95% average. It also reports telemetry figures such as 313B+ tokens saved and 45,000+ developers. All of these are the author's own numbers that we have not verified. Other features it lists are BM25 symbol search with fuzzy matching, opt-in semantic search, `search_ast` structural queries across 70+ languages, and a compact output format called MUNCH, with a median 45.5% byte saving in one benchmark.

Install with `pip install jcodemunch-mcp` or `uvx jcodemunch-mcp`; there are one-click installs and a `jcm install <client>` helper for Claude Code, Cursor, Windsurf and Continue. The licence matters: the README says it is free for non-commercial use and commercial use needs a paid licence, listed at $79 for one developer, $349 for up to five and $1,999 organisation-wide. GitHub reports NOASSERTION for the licence, so it is not a standard open-source licence. Last push was 2026-10-13. This review is based on the README and repository data; we have not run it ourselves.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-22.

License
Not detected by GitHub
Latest release
v1.108.390 · 2026-10-21
Last commit
2026-10-22
Contributors
59
Forks
374
Open issues and PRs
1
First published
2026-02-09
PyPI package
jcodemunch-mcp 1.108.390 · 24,526 downloads last week

Source: GitHub, npm and PyPI public APIs.

#Code Retrieval#AI Token Optimization#AST Parsing#LLM Agent Tooling#Developer Tool#Context Management#Code Analysis#Multi-Agent Compatibility
$ Install
$ pip install jcodemunch-mcp && jcodemunch-mcp init
↗ Visit site★ GitHub
01

Features

01Symbol-level code retrieval for functions, classes, methods, and constants, ensuring byte-level precision.
02Achieve 95%+ reduction in AI token usage by retrieving only relevant code instead of entire files.
03Perform advanced structural code queries (e.g., find importers, blast radius, dead code detection, architectural centrality).
04Utilize one-call task orchestration (`assemble_task_context`) to gather comprehensive, token-budgeted context for complex tasks.
05Cross-language AST pattern matching to detect anti-patterns and perform structural code analysis across 70+ languages.
02

Why choose it

+Index once with tree-sitter, then fetch exact symbols instead of reading whole files
+Works with Claude Code, Cursor, VS Code, Codex CLI, Continue, Windsurf and other MCP clients
+Symbol search, structural `search_ast` queries and a compact output format
+Local index, with a `jcm install <client>` helper and a quickstart
03

Trade-offs

!Not standard open source: commercial use needs a paid licence ($79 to $1,999 tiers in the README)
!The 95% token saving and usage figures are the author's own and depend on your workflow
!Large documentation set and many features, so expect some time to learn which tools matter
!Indexing a repo is an extra step, and a stale index needs refreshing
05

Maintenance check

ActiveChecked: 2026-10-25
Last commit
2026-10-25
Commits, last 90 days
100+
Releases, last 90 days
30
Latest release
v1.108.397 (2026-10-24)
Open issues
1
Recent issues with at least one comment
2/2
Commits per week, last 12 weeks
Commits per week, last 12 weeks: 68, 78, 101, 179, 89, 52, 53, 65, 42, 110, 73, 1

Oldest week on the left; the latest four weeks are orange. Source: GitHub commit activity.

Status rule: archived on GitHub = Archived; last commit within 90 days = Active; 91 to 365 days = Slowing; older = Stale. All figures come from the GitHub API on the date shown.

04

Who it fits

Pick it if
  • Your agent spends tokens reading whole files, and you want it to fetch exact functions, classes and methods from a tree-sitter index.
  • You want structural `search_ast` queries and symbol search across many languages.
  • Your use is non-commercial, or you are ready to buy a commercial licence.
Look elsewhere if
  • You need a standard open-source licence: commercial use requires a paid licence ($79 to $1,999 tiers in the README).
  • You want library documentation rather than your own code: it indexes code.
  • You need verified savings: the 95% figure and usage numbers are the author's own.
06

How it differs

codebase-memory-mcp logovs codebase-memory-mcp★ 47.7k

codebase-memory-mcp builds a knowledge graph of your code. jCodeMunch focuses on fetching exact symbols with byte offsets, and is not free for commercial use.

Full comparison →
07

Compatibility

Python
Runtime
Verified via docs
MCP
Protocol
Verified via docs
Claude Code
Agent
Verified via docs
Cursor
IDE
Verified via docs
VS Code
IDE
Verified via docs
08

Quick start

1
$ pip install jcodemunch-mcp
2
$ jcodemunch-mcp init
09

Use cases

↳Significantly reduce AI token costs in retrieval-heavy development workflows, especially for LLM-powered agents.
↳Efficiently explore and understand large, complex, or unfamiliar codebases without brute-force file reading.
↳Assist AI agents in precise code lookup, refactoring operations, impact analysis, and code quality assessment.
↳Streamline developer onboarding to new projects by providing faster, more targeted code insights.
10

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On this page
01Features02Why choose it03Trade-offs05Maintenance check04Who it fits06How it differs07Compatibility08Quick start09Use cases10Alternatives
jgravelle /
jcodemunch-mcp
↗

MCP server that indexes code with tree-sitter so agents fetch exact symbols instead of whole files; free for non-commercial use only

2.8k374
Last commit1d ago
StatusActive
CategoryCode Assistant
Contributors59
Latest releasev1.108.390
Links
Documentation↗Discussion↗Issues↗Releases↗
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