OntomicsSAFE
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.
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
[](https://registry.modelcontextprotocol.io/) [](https://glama.ai/mcp/servers/EtienneChollet/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):
"What are the main domain concepts in this codebase?" on ScribblePrompt ([full transcript](doc/benchma
2930b56868d9OBSERVED · 2026-10-08Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.
claude mcp add ontomics -- npx -y @ontomics/[email protected]
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (2 observation(s))
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (2)
curl --proto '=https' --tlsv1.2 -LsSf https://github.com/EtienneChollet/ontomics/releases/latest/download/ontomics-installer.sh | sh
Gates applied: no_behavioural_pass.
2930b56868d9full audit observations/trust-audit/mcp-server/etiennechollet__ontomics.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 2930b56868d9 | SAFE | B | 89 | first audit |
Questions
What is the Ontomics MCP server?
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.
Is Ontomics safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does Ontomics need?
No credential environment variables were found in its source, so it appears to need none.
How does Ontomics run?
It speaks stdio, so it runs as a local process your client starts. It is published on npm as @ontomics/ontomics at 0.3.1.
How current is this page?
The grade is for one exact copy of the source (2930b56868d9), read on 2026-10-08. The repository is watched and re-audited when it changes.