# Neuronpedia MCP Server

> Neuronpedia MCP Server — manncodes-neuronpedia-mcp. Use this tool when you need to interpret and analyze AI models, providing explanations and insights into their decision-making processes. It solves problems related to model transparency and feature understanding, offering capabilities such as explanations, activations, and vector management through the Neuronpedia API. Ideal for use cases requiring model interpretability, it takes in AI models as input and outputs explanatory results and feature analysis.

Canonical page: https://skillsregistry.net/skills/manncodes-neuronpedia-mcp  
JSON: https://api.skillsregistry.net/v1/skills/manncodes-neuronpedia-mcp

## Description

Provides access to the Neuronpedia API for AI model interpretability and feature analysis, enabling explanations, activations, steering, and vector management.

## 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:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rq5sc8bvsb)
- **Repository:** <https://github.com/manncodes/neuronpedia-mcp>

## 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": "manncodes-neuronpedia-mcp"
    }
  }
}
```

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