# NeuronScope MCP Server

> NeuronScope MCP Server — rudrendupaul-neuronscope. Use this tool when you need to analyze and understand the internal workings of transformer language models, as it provides insights into attention heads, neuron activations, and component contributions. The NeuronScope MCP Server solves problems related to model interpretability, explainability, and debugging by exposing tools for tracing, statistics, and ablation. It takes in language model internals as input and outputs detailed analysis and visualizations, making it ideal for use cases where model transparency and understanding are crucial.

Canonical page: https://skillsregistry.net/skills/rudrendupaul-neuronscope  
JSON: https://api.skillsregistry.net/v1/skills/rudrendupaul-neuronscope

## Description

MCP server for analyzing transformer language model internals, exposing tools to trace attention heads and neurons responsible for predictions, get activation statistics, ablate components, and sketch circuits.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gl58df23lb)
- **Repository:** <https://github.com/RudrenduPaul/NeuronScope>

## 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": "rudrendupaul-neuronscope"
    }
  }
}
```

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