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EtienneChollet/ontomics

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 qu

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Our verdict

Not reviewed yet

We have not reviewed EtienneChollet/ontomics yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About EtienneChollet/ontomics

Ontomics extracts domain knowledge from codebases by analyzing concepts, naming conventions, and vocabulary, then makes them queryable via MCP. It reduces LLM token consumption by 20x and agentic search time by 10x by providing a structured ontology instead of raw code.

Best for

Developers working with large codebases who want to reduce LLM costs and speed up agentic search

Use cases

  • Pre-process a codebase to build a queryable ontology for LLM-assisted development
  • Reduce token costs when using LLMs to understand or refactor large codebases
  • Speed up agentic code search by replacing raw code scans with ontology lookups

Notes

35 stars on GitHub. Last updated 2026-04-17. Licensed MIT.

Pros

  • Written in Rust for performance and safety
  • Delivers measurable reductions in token usage and search time
  • Exposes domain knowledge via MCP for easy integration with LLM tools

Cons

  • Limited community adoption with only 35 GitHub stars
  • Requires initial setup and understanding of MCP protocol
  • Effectiveness depends on codebase structure and naming consistency

Key facts

What we have checked

Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

npm install -g @ontomics/ontomics

Tools exposed

  • query_concept
  • locate_concept
  • describe_symbol
  • trace_concept
  • list_concepts
  • list_conventions
  • list_entities
  • check_naming
  • suggest_name
  • vocabulary_health
  • ontology_diff
  • export_domain_pack
  • find_similar_logic
  • describe_logic
  • compact_context
  • describe_file
  • concept_map
  • type_flows
  • trace_type

Clients the listing names (not checked here)

Claude Code, ChatGPT

Install

Add EtienneChollet/ontomics to your client

Not verified yet

Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.

Claude Code

Config checked

Run in your terminal (runs on your computer)

claude mcp add --transport stdio etiennechollet-ontomics -- npx -y @ontomics/ontomics@0.3.1

Version 0.3.1 · From the Official MCP registry, read · Format checked against Claude Code's config docs

Claude Desktop

Config checked

Add to claude_desktop_config.json (runs on your computer)

{
  "mcpServers": {
    "etiennechollet-ontomics": {
      "command": "npx",
      "args": [
        "-y",
        "@ontomics/ontomics@0.3.1"
      ]
    }
  }
}

Version 0.3.1 · From the Official MCP registry, read · Format checked against Claude Desktop's config docs

Cursor

Config checked

Add to .cursor/mcp.json (runs on your computer)

{
  "mcpServers": {
    "etiennechollet-ontomics": {
      "command": "npx",
      "args": [
        "-y",
        "@ontomics/ontomics@0.3.1"
      ]
    }
  }
}

Version 0.3.1 · From the Official MCP registry, read · Format checked against Cursor's config docs

VS Code

Config checked

Add to .vscode/mcp.json (runs on your computer)

{
  "servers": {
    "etiennechollet-ontomics": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ontomics/ontomics@0.3.1"
      ]
    }
  }
}

Version 0.3.1 · From the Official MCP registry, read · Format checked against VS Code's config docs

Codex

Config checked

Add to ~/.codex/config.toml (runs on your computer)

[mcp_servers.etiennechollet-ontomics]
command = "npx"
args = ["-y", "@ontomics/ontomics@0.3.1"]

Version 0.3.1 · From the Official MCP registry, read · Format checked against Codex's config docs

  • ChatGPT: ChatGPT connects only to remote servers that need no API key.

Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.

Works with

What EtienneChollet/ontomics connects to

5 clients, each with how we know and when we checked.

Works withTypeHow we knowChecked
Claude CodeClientInstall recipe matches the client's documented formatRuns locally, version 0.3.1Config checkedClaude Code docs
Claude DesktopClientInstall recipe matches the client's documented formatRuns locally, version 0.3.1Config checkedClaude Desktop docs
CursorClientInstall recipe matches the client's documented formatRuns locally, version 0.3.1Config checkedCursor docs
VS CodeClientInstall recipe matches the client's documented formatRuns locally, version 0.3.1Config checkedVS Code docs
CodexClientInstall recipe matches the client's documented formatRuns locally, version 0.3.1Config checkedCodex docs

Alternatives

Alternatives to EtienneChollet/ontomics

RecordTypeHow we knowChecked
oraios/serenaThis is an alternative to itMCP serverNamed in the listingNot dated

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Sources

Where this comes from

No sources recorded yet. Each source we check is listed here with the date we checked it.

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

Pairs with

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