# ASTRA MCP Server

> Use this tool when you need to simulate complex neural networks and integrate bio-hybrid neuromorphic models into AI systems, solving problems in areas like cognitive architectures and artificial general intelligence. The ASTRA MCP Server takes in neural network configurations and outputs simulated neural activity, providing a pipeline for SNN LIF+STDP, consciousness proxies, and ethics monitoring. It is ideal for use cases requiring advanced neural modeling and simulation, such as robotics, neuroscience, and AI research.

Canonical page: https://skillsregistry.net/skills/christophejlegros-lgtm-astra-unified-researchlab-mcp-v2-1  
JSON: https://api.skillsregistry.net/v1/skills/christophejlegros-lgtm-astra-unified-researchlab-mcp-v2-1

## Description

Exposes a bio-hybrid neuromorphic simulation pipeline (SNN LIF+STDP, consciousness proxies, ethics monitor) as MCP tools, resources, and prompts to AI assistants.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k3uduviv79)
- **Repository:** <https://github.com/christophejlegros-lgtm/ASTRA-Unified-ResearchLab-MCP-v2.1>

## 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": "christophejlegros-lgtm-astra-unified-researchlab-mcp-v2-1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/christophejlegros-lgtm-astra-unified-researchlab-mcp-v2-1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/christophejlegros-lgtm-astra-unified-researchlab-mcp-v2-1/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