glama.json

{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "name": "mnemoscope",
  "displayName": "Mnemoscope",
  "description": "Predictive context-rot scoring, Ed25519-signed local write journal, and hierarchical tiering for LLM agents on Markdown vaults. 100% local; ships an MCP server and an Obsidian plugin.",
  "version": "0.2.0",
  "license": "Apache-2.0",
  "homepage": "https://github.com/toonight/Mnemoscope",
  "repository": "https://github.com/toonight/Mnemoscope",
  "tags": ["memory", "obsidian", "markdown", "claude-code", "forensics", "rot-detection", "tiered-memory"],
  "categories": ["memory", "developer-tools", "knowledge-management"],
  "author": {
    "name": "Mnemoscope contributors",
    "url": "https://github.com/toonight"
  },
  "install": {
    "type": "node",
    "command": "node",
    "args": ["packages/mcp-server/dist/index.js"]
  },
  "tools": [
    { "name": "predict_rot", "description": "Predictive context-rot risk score for a vault, with factor breakdown and top-risk notes." },
    { "name": "get_tiered_read", "description": "Working/episodic/semantic split of a vault for compacted context injection." },
    { "name": "record_journal", "description": "Append a signed, hash-chained entry to the local journal of agent operations." },
    { "name": "read_journal", "description": "Replay journal entries, optionally filtered by session." }
  ]
}