jCodeMunch

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Find code symbols and dependencies by name, using 96.2% fewer tokens per lookup

Paid plans only

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Tracked since 2026

The Bottom Line

Updated Nov 9, 2026

Best for: Developers and engineering teams using AI coding agents to retrieve symbols from large codebases.
Price: Paid plans only. Compare plans

What is jCodeMunch?

jCodeMunch is an MCP server that indexes a codebase with tree-sitter (70+ languages) so AI coding agents fetch functions, classes and constants by name instead of reading whole files. It also answers who uses a symbol and what breaks if it changes. On our 15-lookup benchmark it returns 96.2% fewer tokens per lookup on average than grep-and-read. Runs locally; works with Claude Code, Cursor, Codex and any MCP client.

Available on: API, CLI

Data compiled by Toolradar Pricing checked Nov 9, 2026 · How we evaluate

Source jcodemunch.com

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Latest news from jCodeMunch

All jCodeMunch updates

Update Nov 10 New

jCodeMunch 1.108.429: the search hook now answers in a second

Claude Code's opt-in search hook used to take about five seconds to answer on a large repository. As of 1.108.429 it takes about one. We also changed the benchmark to count only what the agent actually receives: 96.2% fewer tokens per lookup on average than grep-and-read.

From the jCodeMunch team Read on jcodemunch.com

Posted by jCodeMunch’s team; we read each linked page before it shows here.

Key Features

Indexes codebase symbols across 79 languages with tree-sitter
Searches symbols by name or natural-language query
Retrieves individual functions instead of whole files
Shows callers and potential impact before code changes
Saves session context for recovery after compaction

Pricing Plans

Pricing checked Nov 9, 2026. Source: jcodemunch.com/buying.php, read Nov 9, 2026

jCodeMunch plans and prices, checked November 2026
Plan	Price	Details
Builder	$79 one-time	One named developer Includes every 1.x update $79 one-time
Studio	$349 one-time	Up to 5 developers at the same organization Includes every 1.x update $349 one-time
Platform	$1,999 one-time	Unlimited internal use across one organization Covers shared servers, CI, and internal tooling Includes every 1.x update +1 more Show less $1,999 one-time
Free (non-commercial use)	Free
Trio Builder (jCodeMunch + jDocMunch + jDataMunch)	$99 one-time
Trio Studio (jCodeMunch + jDocMunch + jDataMunch, up to 5 developers)	$449 one-time
Trio Platform (jCodeMunch + jDocMunch + jDataMunch, one organization)	$2,499 one-time

View full pricing

Full jCodeMunch pricing: every plan and alternatives

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jCodeMunch FAQ

How does jCodeMunch reduce token usage for AI coding agents?

jCodeMunch indexes a codebase with tree-sitter across 70+ languages, allowing AI agents to fetch functions, classes, and constants by name instead of reading entire files. On a 15-lookup benchmark, it returns 96.2% fewer tokens per lookup on average compared to grep-and-read.

Which teams benefit most from using jCodeMunch?

Teams that rely on AI coding agents like Claude Code, Cursor, or Codex benefit most, especially those working with large codebases where token efficiency and accurate symbol lookup are critical. Developers who frequently need to understand dependencies and impact of changes will find it particularly useful.

Can jCodeMunch tell me what breaks if I change a symbol?

Yes, jCodeMunch can answer who uses a symbol and what breaks if it changes, providing dependency impact analysis. This helps developers assess the ripple effects of modifications before making them.

How is jCodeMunch priced?

jCodeMunch is a paid product with no permanently free tier. Pricing details are available on the product page.

Does jCodeMunch work with any AI coding tool?

jCodeMunch runs locally and works with any MCP client, including Claude Code, Cursor, and Codex. It integrates seamlessly as an MCP server to provide efficient code symbol lookup.

What kind of code symbols can jCodeMunch find?

jCodeMunch can find functions, classes, and constants by name across a codebase indexed with tree-sitter. It supports over 70 programming languages, making it versatile for diverse development environments.

Why would a developer choose jCodeMunch over reading files directly?

jCodeMunch dramatically reduces token usage by fetching only the needed symbol definitions instead of entire files, saving 96.2% of tokens per lookup on average. This speeds up AI agent responses and reduces costs, especially in large codebases.

Source: jcodemunch.com

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