glama.json

{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "GRU-953"
  ],
  "description": "Local, token-free MCP server that converts any attachment to Markdown and digests it into a deterministic, model-free knowledge-graph memory for any AI assistant — Claude, Gemini, Cursor, VS Code, Windsurf, ChatGPT's Codex and Grok. No LLM, no embedding model, no GPU, no network — runs 100% on-device, byte-identical output, ~0 context tokens to build or recall. Incremental re-digests re-read only what changed; export, import, merge and diff memories across machines. Safe archive unpacking, optional Tesseract OCR, legacy Bengali→Unicode (incl. vetted রম্ন→রু repair), BM25 recall with document/entity-type/multi-project filters, PII suppression. 11 MCP tools.",
  "keywords": [
    "mcp",
    "memory",
    "knowledge-graph",
    "markitdown",
    "ocr",
    "deterministic",
    "offline",
    "token-free",
    "graphrag",
    "bm25",
    "bengali",
    "claude",
    "gemini",
    "cursor",
    "vscode",
    "windsurf",
    "codex",
    "grok",
    "incremental",
    "portable"
  ]
}