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22 days ago
glama

kg-memory-mcp

An in-memory knowledge graph MCP server that gives coding agents structural and semantic recall over codebases by indexing Python source, ADR documents, and project configuration, exposing 7 tools for search, traversal, context retrieval, and natural-language Q&A.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configKG_PROJECT_ROOT"": "/path/to/your/project"
configKG_SOURCE_DIRSsrc Comma-separated source directories
configKG_ADR_DIRdocs/adr ADR directory (none to disable)
configKG_CONFIG_PATHCLAUDE.md Project config file (none to disable)
configKG_INDEX_FILE.kg-index.json Graph persistence file
configKG_ADR_PATTERN^\d{4}-.+\.md$ Regex for ADR filename matching
configKG_LLM_MODEL"": "openai/gpt-4o-mini",
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/arunmenon-kg-memory-mcp-zub055)](https://m8ven.ai/mcp/arunmenon-kg-memory-mcp-zub055)
commit: 01734876da8e1f4651c26626931873d27707b6da
code hash: 485d32fe7adc85d6d2e115fc4142f2eee69db10575bb29e24741c8fa5f4ceef9
verified: 6/21/2026, 10:31:52 AM
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