knowledge-graph

Solid

Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading.

AI & Automation 496 stars 41 forks Updated 1 months ago MIT

Install

View on GitHub

Quality Score: 86/100

Stars 20%
90
Recency 20%
75
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Knowledge Graph Integration ## Overview Transform any codebase into a queryable knowledge graph using codebase-memory MCP server. Instead of reading entire files, query the graph for exactly the context you need. **Token savings:** 6-71x reduction compared to raw file reading. ## Setup ### Prerequisites - codebase-memory MCP server installed (`~/bin/codebase-memory-mcp` or via npm) - MCP config in `~/.mcp.json`: ```json { "mcpServers": { "codebase-memory": { "command": "/path/to/codebase-memory-mcp", "args": [] } } } ``` ## Core Operations ### 1. Index a Repository ``` mcp__codebase-memory__index_repository project_name: "my-project" repo_path: "/path/to/repo" ``` First index takes 30-120s depending on repo size. Subsequent updates are incremental. ### 2. Check Index Status ``` mcp__codebase-memory__index_status project_name: "my-project" ``` ### 3. Search Code ``` mcp__codebase-memory__search_code project_name: "my-project" query: "authentication middleware" ``` Returns relevant code snippets without reading entire files. ### 4. Get Architecture Overview ``` mcp__codebase-memory__get_architecture project_name: "my-project" ``` Returns high-level architecture: modules, dependencies, entry points. ### 5. Trace Call Paths ``` mcp__codebase-memory__trace_call_path project_name: "my-project" from_symbol: "handleLogin" to_symbol: "validateToken" ``` ### 6. Query Dependency Graph ``` mcp__codebase-memory__query_graph project...

Details

Author
vibeeval
Repository
vibeeval/vibecosystem
Created
2 months ago
Last Updated
1 months ago
Language
C#
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

ln-020-codegraph

Builds and queries code knowledge graph for dependency analysis, references, implementations, and architecture overview. Use when starting work on unfamiliar codebase or before refactoring.

480 Updated 3 days ago
levnikolaevich
AI & Automation Listed

graphy

Build and query a knowledge graph of any codebase via the graphy MCP server. Use whenever you need to locate a symbol, trace a call chain, find callers, audit imports, or understand module boundaries — instead of grepping or reading files blindly.

0 Updated today
DeveloperBeau
AI & Automation Listed

mission-control-codebase-knowledge-graph

Build or inspect a Mission Control codebase knowledge graph. Use for file/function/class maps, dependency relationships, architectural layers, guided tours, and searchable understanding.

1 Updated today
MN755
AI & Automation Solid

knowledge-graph

Manages persistent Knowledge Graph for specifications. Caches agent discoveries and codebase analysis to remember findings across sessions. Validates task dependencies, stores patterns, components, and APIs to avoid redundant exploration. Use when: you need to cache analysis results, remember findings, reuse previous discoveries, look up what we found, spec-to-tasks needs to persist codebase analysis, task-implementation needs to validate contracts, or any command needs to query existing patterns/components/APIs.

263 Updated 1 weeks ago
giuseppe-trisciuoglio
AI & Automation Listed

cm-codeintell

Unified code intelligence — Skeleton Index (zero-dep, <4s) + AST knowledge graph (CodeGraph) + architecture diagrams (Mermaid) + smart context builder. Pre-indexes code structure so AI agents understand any codebase instantly. 95% token compression for onboarding. 30% fewer tokens for deep analysis.

44 Updated today
tody-agent