# RemembrallMCP

> Use this tool when you need to retain and recall large amounts of knowledge, leveraging hybrid search, code graph, and pgvector capabilities to solve problems related to information retrieval and knowledge management. It provides a persistent memory for AI agents, accepting input queries and returning relevant knowledge outputs. Ideal for use cases where knowledge retention and rapid recall are crucial, such as complex decision-making, data analysis, and machine learning model training.

Canonical page: https://skillsregistry.net/skills/io-github-cdnsteve-remembrallmcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-cdnsteve-remembrallmcp

## Description

Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.cdnsteve%2Fremembrallmcp)
- **Repository:** <https://github.com/cdnsteve/remembrallmcp>

## 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": "io-github-cdnsteve-remembrallmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-cdnsteve-remembrallmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-cdnsteve-remembrallmcp/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