Query and understand large codebases with a fast knowledge graph for AI agents.
This MCP tool has sparse documentation, but it appears to be an open-source project from an official registry, requires no secrets, and declares no remote endpoints, so overall risk is relatively low. Caution is still warranted because the system flags code execution capability, and its codebase-memory/knowledge-graph function likely implies access to local repository data.
The materials explicitly state that no keys or environment variables are required. No API tokens, account credentials, or other sensitive secrets are requested, so credential exposure risk appears low.
The materials declare no remote endpoints, and there is no stated need to connect to external APIs or cloud services. Based on the available facts, no explicit user-data egress path is shown; however, because the README is missing, actual network behavior should still be verified in source.
The objective checks flag this tool as executes-code, indicating it can execute code locally or start related processing workflows. This is a common MCP capability and not a high-risk signal by itself, but it should be run under least-privilege conditions.
From the 'Codebase Memory / codebase knowledge graph' description, the tool likely needs to read local repository contents to build indexes or graph structures, potentially accessing source code, configs, and comments. There is no evidence of permissions beyond its stated purpose, but usage should be limited to necessary directories.
Positive signals include: official registry source, open-source availability, and updates within the last year, making the code auditable in principle. Points to watch are the missing README, undeclared license, and very low community adoption (0 stars), so transparency and ecosystem validation remain limited; source and dependency review is advisable before deployment.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Codebase Memory" MCP server from askskill: Run: claude mcp add 'io-github-deusdata-codebase-memory-mcp' -- npx -y codebase-memory-mcp
Query, understand, and edit large multilingual codebases with AI knowledge graphs.
Search and navigate multiple code repositories with natural language understanding.
Help AI agents search, understand, and operate on codebases with a content-addressed graph.
Gives AI coding agents semantic code graphs for faster, more precise answers.
Build persistent code memory for cross-session analysis, search, and documentation.
Provides local persistent memory for coding agents with low-cost context retrieval.