# yantrikdb-mcp

> yantrikdb-mcp — yantrikos-yantrikdb-mcp. Use this tool when you need to enhance AI agents with cognitive memory capabilities, solving problems related to knowledge retention and retrieval. It provides a server-based solution, accepting input from various sources and outputting relevant information to support AI decision-making. YantrikDB MCP Server integrates with git, making it ideal for use cases involving version-controlled knowledge bases and collaborative AI development.

Canonical page: https://skillsregistry.net/skills/yantrikos-yantrikdb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yantrikos-yantrikdb-mcp

## Description

Persistent cognitive memory for AI agents — drop-in MCP server for Claude Code, Cursor, Windsurf. Temporal decay, contradiction detection, knowledge graph, autonomous consolidation. Backed by the YantrikDB Rust engine. Install: pip install yantrikdb-mcp.

## Trust

- **Trust score (0–1):** 0.76
- **Circle-IR tier:** verified
- **Verification tier:** verified
- **Last scanned:** 2026-09-28
- **Dimensions:** security 98.00, supply 100.00, quality 100.00, reliability 100.00, compliance 85.00, provenance 98.00

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/yantrikos/yantrikdb-mcp)

## 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": "yantrikos-yantrikdb-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yantrikos-yantrikdb-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yantrikos-yantrikdb-mcp/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