madb-mcp-server

Persistent causal memory for Claude Code — causal chains, composite-scored recall, and a built-in Memory-ROI meter.

madb-mcp-server gives Claude Code (and any MCP-compatible client) a real database backend for agent memory: causal chains, composite-scored recall, a tamper-evident integrity chain, and built-in analytics.

Install

pip install madb-mcp-server

Or run directly with uvx (no install needed):

uvx madb-mcp-server

Claude Code Setup

claude mcp add madb -- uvx madb-mcp-server

Or add to your project's .mcp.json:

{
  "mcpServers": {
    "madb": {
      "command": "uvx",
      "args": ["madb-mcp-server"],
      "env": {
        "MADB_DATA_DIR": "~/.madb/data",
        "MADB_TENANT_ID": "default"
      }
    }
  }
}

Claude Desktop Setup

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "madb": {
      "command": "uvx",
      "args": ["madb-mcp-server"],
      "env": {
        "MADB_DATA_DIR": "~/.madb/data",
        "MADB_TENANT_ID": "default"
      }
    }
  }
}

Tools (12)

Tool	Description
`remember`	Store a memory with causal links, tags, and importance scoring
`recall`	Semantic recall — vector similarity + recency + causal proximity + importance
`get_memory`	Point lookup by event_id
`forget`	Soft-delete a memory (tombstone, preserved in causal chain)
`search`	Structured query by tenant + scope
`list_recent`	Last N memories for a tenant
`save_skill`	Store a reusable skill/pattern (GC-protected, idempotent by name)
`recall_skill`	Semantic skill recall with structured output
`list_skills`	List all saved skills ranked by composite score
`stats`	Engine metrics snapshot (writes, reads, flushes, compactions, WAL state)
`trace_cause`	Walk the causal DAG forward or backward from any memory
`analytics`	MCP usage analytics — call counts, latencies, recall precision, Memory ROI

Memory ROI

MADB tracks how much value its memory provides to your Claude sessions:

Tokens served from recall — context delivered from memory instead of re-reading files
File reads avoided — estimated file re-reads saved by recalling from memory
Recall precision — hit rate and average relevance score
Write-to-read ratio — tokens recalled per token written (run the analytics tool to see your session's ratio)

Run the analytics tool at any time to see your session's Memory ROI.

Resources

URI	Description
`madb://memories/{event_id}`	Read a single memory record

Environment Variables

Variable	Default	Description
`MADB_DATA_DIR`	`~/.madb/data`	Database storage directory
`MADB_TENANT_ID`	`default`	Default tenant for tool calls
`MADB_API_KEY`	(unset)	If set, every tool call must pass a matching `api_key`
`MADB_TELEMETRY`	(on)	Set to `off` to disable anonymous usage telemetry
`MADB_SKIP_UPDATE_CHECK`	(unset)	Set to `1` to disable the daily PyPI version check

Privacy & Telemetry

Your memory content never leaves your device — all data is stored locally under MADB_DATA_DIR (~/.madb by default).

To improve the product, the server sends anonymous usage telemetry:

What is sent: an opaque random install id, the package version, the host OS/Python version, the MCP runtime (e.g. claude-code), and counts — tool-call totals, distinct tools used, recall hits, sessions.
What is never sent: memory content, queries, payloads, tenant names, file paths, usernames, or hostnames. "We measure how much, never what."
When: an activation event on first connect and a heartbeat at most once per day. Fire-and-forget; it never blocks or delays a tool call.
Opt out completely: set MADB_TELEMETRY=off.

A one-time notice is printed on first launch. On first run the server also copies a bundled Claude Skill into ~/.claude/skills (existing files are left untouched) and checks PyPI for updates (MADB_SKIP_UPDATE_CHECK=1 to disable).

How It Works

MADB is an agent-native database built in Rust with 5 novel primitives:

Causal DAG — every memory links to what caused it, forming an evidence chain
Composite-scored recall — vector similarity + recency + causal proximity + importance
Storage-layer policy — scope and retention rules enforced at the engine level
Partitioned WAL — per-tenant write-ahead log for crash safety
Time-bucketed HNSW — vector index organized by time for recency-aware search

License

Meta-Agents.AI Proprietary License v1.0. Install-and-use is permitted for end-users of the published wheels; source access, OEM embedding, and hosted-service rights are reserved for separately-negotiated agreements. Patent pending.

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madb-mcp-server 0.2.11

madb-mcp-server

Install

Claude Code Setup

Claude Desktop Setup

Tools (12)

Memory ROI

Resources

Environment Variables

Privacy & Telemetry

How It Works

License

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1 maintainer

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