# RSpace MCP Server

> Use this tool when you need to integrate large language models (LLMs) with RSpace APIs, enabling seamless interaction and data exchange between LLM agents and RSpace services. It solves problems related to API accessibility and compatibility, providing a standardized interface for LLMs to consume RSpace data and functionality. The RSpace MCP Server takes in LLM requests and outputs relevant RSpace API responses, facilitating efficient and context-aware communication between agents and services.

Canonical page: https://skillsregistry.net/skills/richarda23-rspace-mcp  
JSON: https://api.skillsregistry.net/v1/skills/richarda23-rspace-mcp

## Description

Exposes RSpace API endpoints to LLM agents using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/xsolb22yue)
- **Repository:** <https://github.com/richarda23/rspace-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": "richarda23-rspace-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/richarda23-rspace-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/richarda23-rspace-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