# mcp-vl-msa-rs

> mcp-vl-msa-rs — dionanos-mcp-vl-msa-rs. Use this tool when you need to enable AI agents to recall information across sessions without relying on cloud dependencies. It solves the problem of durable memory for AI agents by indexing document chunks using BM25, allowing for efficient search and retrieval of stored information. This tool is ideal for applications requiring long-term memory and session persistence, accepting document chunks as input and returning relevant search results as output.

Canonical page: https://skillsregistry.net/skills/dionanos-mcp-vl-msa-rs  
JSON: https://api.skillsregistry.net/v1/skills/dionanos-mcp-vl-msa-rs

## Description

A searchable long-term memory server for AI agents using BM25 indexing over document chunks, enabling durable recall across sessions without cloud dependencies.

## Trust

- **Trust score (0–1):** 0.01
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ln43o3dobx)
- **Repository:** <https://github.com/DioNanos/mcp-vl-msa-rs>

## 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": "dionanos-mcp-vl-msa-rs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dionanos-mcp-vl-msa-rs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dionanos-mcp-vl-msa-rs/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