# Neuron - "Synapse"

> Use this tool when you need to enhance the memory and knowledge retention of large language models (LLMs) across conversations. Neural-Stimulus solves the problem of transient memory in LLMs by providing a persistent semantic memory that stores and links concepts using vector search. It takes in concept embeddings as input and outputs linked concepts, enabling more informed and contextually aware responses in conversational interfaces.

Canonical page: https://skillsregistry.net/skills/recla93-neuralstimulus  
JSON: https://api.skillsregistry.net/v1/skills/recla93-neuralstimulus

## Description

An MCP server that provides persistent semantic memory for LLMs by building a concept graph with vector search. It enables storing, linking, and retrieving concepts across conversations using Turso vector search and 256-dimensional embeddings.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nwlnp7jd10)
- **Repository:** <https://github.com/recla93/Neuron>

## 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": "recla93-neuralstimulus"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/recla93-neuralstimulus` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/recla93-neuralstimulus/pull`

---
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