MCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.
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Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
Babel vulnerable to arbitrary code execution when compiling specifically crafted malicious code
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
process.env. You'll be asked to provide them before it can run.MEMORYBANK_AUTO_UPDATE_DOCS— false Auto-regenerate docs when indexing codeMEMORYBANK_CHUNK_OVERLAP_TOKENS— 200 Overlap between chunks to maintain contextMEMORYBANK_EMBEDDING_DIMENSIONS— 1536 Vector dimensions (1536 or 512)MEMORYBANK_EMBEDDING_MODEL— text-embedding-3-small OpenAI embedding modelMEMORYBANK_MAX_TOKENS— 7500 Maximum tokens per chunk (limit: 8192)MEMORYBANK_REASONING_EFFORT— medium Reasoning level: low, medium, highMEMORYBANK_REASONING_MODEL— gpt-5-mini Model for generating documentation (supports reasoning)MEMORYBANK_ROUTE_MAX_ITERATIONSMEMORYBANK_STORAGE_PATH— .memorybank Directory where the vector index is storedMEMORYBANK_WORKSPACE_ROOT— process.cwd() Workspace root (usually auto-detected)OPENAI_API_KEY— REQUIRED. Your OpenAI API key[](https://m8ven.ai/mcp/gcorroto-memory-bank-mcp-1u8dfs)