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Turn codebases into searchable knowledge graphs with AI analysis and security scanning.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CodeAtlas AI MCP Server" yet — see the docs or source repo.
Analyze this repository and generate a knowledge graph of major modules, dependencies, and key classes and functions, then summarize each module's responsibility.
A codebase overview, module relationship graph, and concise summaries that explain the project architecture.
Scan this project for potential security issues, focusing on authentication, input validation, dependency vulnerabilities, and secret exposure, then list fixes by severity.
A prioritized list of security findings with affected locations and recommended remediations.
Using persistent semantic memory, find the code, configuration, and database models related to user access control, and explain how they connect.
Key files, relationship paths, and functional explanations for access control so changes can be made quickly.
Analyze local codebases securely with AI-powered code intelligence and automation.
Build and query a codebase knowledge graph with relationships and rationale.
Query code structure and cross-language relationships via MCP with auditable access logs.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Provide structured code context and dependency graphs for efficient codebase understanding.
Turn codebases into structural graphs for efficient AI-assisted code exploration.