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Ontomics

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作者:EtienneChollet

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.

agentic-codingai-codingclaude-codecodexcoding-agentsdomain-knowledgemcpmcp-servermodel-context-protocolrustsemantic-searchtree-sitter

安装

$claude mcp add -s user ontomics -- ontomics

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工具(19 个)

check_naming

Check an identifier against project conventions; suggests the canonical form

compact_context

Assemble tiered context (concepts + logic) for a symbol, optimized for LLM consumption

concept_map

Show which modules contain which domain concepts

describe_file

Overview of a file's entities, concepts, and relationships

describe_logic

Get the behavioral description, body text, and logic cluster membership for a function

describe_symbol

Get the signature, docstring, and relationships for a function or class

export_domain_pack

Export domain knowledge as portable YAML for use in other repos

find_similar_logic

Find functions with behaviorally similar implementations, ranked by embedding similarity

list_concepts

List the top domain concepts by frequency

list_conventions

List all detected naming patterns (prefixes, suffixes, conversions)

list_entities

List code entities (classes, functions) filtered by concept, role, or kind

locate_concept

Find the key signatures, classes, and files for a concept

ontology_diff

Show new, changed, or removed domain concepts since a git ref

query_concept

Find all variants, related concepts, and occurrences of a term

suggest_name

Generate an identifier name that fits the project's vocabulary

trace_concept

Trace how a concept flows through the codebase via call chains

trace_type

Trace how a specific type propagates across files and call sites

type_flows

Show dominant types and how data flows through the codebase

vocabulary_health

Measure convention coverage, naming consistency, and cluster cohesion