# madb-mcp-server

> madb-mcp-server — spshkar84-madb-meta-agents-db. Use this tool when you need to provide AI agents with persistent memory that retains causal relationships and semantic meaning. It solves problems of knowledge retention and recall in dynamic environments, enabling agents to learn from experiences and adapt to changing situations. The madb-mcp-server takes in agent experiences and outputs recalled memories, using importance-based forgetting to optimize memory usage.

Canonical page: https://skillsregistry.net/skills/spshkar84-madb-meta-agents-db  
JSON: https://api.skillsregistry.net/v1/skills/spshkar84-madb-meta-agents-db

## Description

Provides persistent, causal memory for AI agents with semantic recall, causal tracking, and importance-based forgetting through MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dlriz0k34q)
- **Repository:** <https://github.com/spshkar84/madb-meta-agents-db>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "spshkar84-madb-meta-agents-db"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spshkar84-madb-meta-agents-db` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spshkar84-madb-meta-agents-db/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt