# dakera-mcp

> dakera-mcp — dakera-ai-dakera-mcp. Use this tool when you need to provide AI agents with persistent memory, enabling them to store and recall information across interactions. The Dakera-MCP server integrates with 83 tools, supporting clients like Claude, Cursor, and Windsurf, and accepts git inputs to facilitate seamless knowledge retention. Ideal for use cases requiring continuous learning and context-aware conversations.

Canonical page: https://skillsregistry.net/skills/dakera-ai-dakera-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dakera-ai-dakera-mcp

## Description

Self-hosted MCP server for AI agent memory — 14 core tools, profile-based tiering (86+ available). 88.2% LoCoMo. Works with Claude, Cursor, Windsurf.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## 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/Dakera-AI/dakera-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": "dakera-ai-dakera-mcp"
    }
  }
}
```

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