# mcp-recall

> Use this tool when you need to enhance AI assistants with persistent memory and semantic search capabilities. It solves problems of knowledge retention and recall by storing facts as vector embeddings, allowing for efficient search and retrieval. Ideal for applications requiring contextual understanding and adaptable knowledge bases, with inputs of factual data and outputs of relevant search results and embedded knowledge.

Canonical page: https://skillsregistry.net/skills/jensimogit-mcp-recall  
JSON: https://api.skillsregistry.net/v1/skills/jensimogit-mcp-recall

## Description

A self-hosted MCP memory server that gives AI assistants persistent, semantic memory by storing facts as vector embeddings locally, supporting semantic search and swappable embedding models.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i3mr9sq0ok)
- **Repository:** <https://github.com/Jensimogit/mcp-recall>

## 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": "jensimogit-mcp-recall"
    }
  }
}
```

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