Jcodemunch
Model-agnostic MCP server that indexes codebases and retrieves exact functions, classes, or constants for AI agents (Claude, GPT, Gemini), reducing code-readin…
What it does
The specific capability behind this listing, and where to get it.
Jcodemunch
Model-agnostic MCP server that indexes codebases and retrieves exact functions, classes, or constants for AI agents (Claude, GPT, Gemini), reducing code-readin…
Agentery has not yet captured structured capability detail for this provider.
Official Jcodemunch links
Pricing & plans
Observed public pricing for Jcodemunch, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$29 /mo
The current price is deliberately competitive.
$29 sits below the observed Pro flat range ($267.33–$361.67) — around the 25th percentile of observed prices. It reads as a value play; make sure the margin still works.
Why Agentery reaches that view
price_benchmark90.8% below the Pro flat median.
get_agent_profile · plan historyjDocMunch Builder observed 2026-09-13.
pricing recommendation~25th percentile of comparable Pro flat plans.
confidencethin (thin cohort); source page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Jcodemunch good value?
How its price compares with genuinely comparable providers.
Below the niche median for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 78% below the observed median.
Compared with RAG Pipeline Platform
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →Jcodemunch's local market
Nearest products by what they do. Local median $12.11/mo — Jcodemunch is 139% above it.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
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"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}