# Nosana MCP Agent

> Use this tool when you need to leverage a local large language model (LLM) for tasks like text generation, conversation, or data analysis without relying on API keys. The Nosana MCP Agent solves problems related to secure and decentralized access to AI capabilities, providing MCP and HTTP interfaces for seamless integration with external tools. It is ideal for use cases requiring private, keyless, and decentralized AI interactions.

Canonical page: https://skillsregistry.net/skills/sohniswatantra-nosana-mcp-agent  
JSON: https://api.skillsregistry.net/v1/skills/sohniswatantra-nosana-mcp-agent

## Description

An open-source AI agent powered by a local LLM (Qwen3.5 9B) running on decentralized GPUs via Nosana, providing MCP and HTTP interfaces to connect with external tools without API keys.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jnioyp4p62)
- **Repository:** <https://github.com/SohniSwatantra/nosana-mcp-agent>

## 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": "sohniswatantra-nosana-mcp-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sohniswatantra-nosana-mcp-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sohniswatantra-nosana-mcp-agent/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