# Soma

> Soma — ai-dinglebear-soma-rmcp. Use this tool when you need to integrate provider-backed MCP tools and resources into your workflow, as Soma provides a drop-in RMCP runtime for seamless execution of prompts, resources, and agent capabilities. It solves problems related to compatibility and integration of various MCP tools, enabling efficient workflow management. Ideal for use cases requiring flexible and scalable runtime environments for MCP applications.

Canonical page: https://skillsregistry.net/skills/ai-dinglebear-soma-rmcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-dinglebear-soma-rmcp

## Description

Drop-in RMCP runtime for provider-backed MCP tools, prompts, resources, and agent capabilities.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.4.7
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dinglebear%2Fsoma-rmcp)
- **Repository:** <https://github.com/jmagar/soma>

## 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": "ai-dinglebear-soma-rmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-soma-rmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-soma-rmcp/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