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ontomics

MCP ServerClaude CodeCodex Memory Low risk

Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.

从代码库中提取领域知识,将LLM令牌消耗减少20倍,智能体搜索时间减少10倍——收集概念、命名约定和词汇,并使其可通过MCP查询。

How to install

Claude Code git clone https://github.com/EtienneChollet/ontomics ~/.claude/skills/ontomics

About

ontomics ontomics gives any coding agent **instant knowledge** of your codebase. One tool call instead of 19. ~20x fewer tokens. https://github.com/user-attachments/assets/01afa8a0-1bc2-4686-94d7-965fef7610c3 Visualization for the voxelmorph project -- a library for unsupervised learning in image registration Benchmark Tested with Claude Sonnet — same question, with and without ontomics. "What does 'transform' mean in this codebase?" on voxelmorph (full transcript): | | With ontomics | Without | |----------------|---------------|------------| | Tool calls | 1 | 19 | | Tokens | ~3.7k | ~76k | |…

Recommendation signals

39 Tool quality · Based on stars, downloads, maintenance, security and docs
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Meta

License
MIT
Language
Rust
GitHub stars
42
mo. downloads
–
Last push
2026-04-17
Created
2026-03-27

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:punkpeye/awesome-mcp-servers
Topics
agentic-coding, ai-coding, claude-code, codex, coding-agents, domain-knowledge, mcp, mcp-server, model-context-protocol, rust, semantic-search, tree-sitter

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