# ResourceSpace MCP Server

> Use this tool when you need to manage and organize digital assets efficiently, as it provides comprehensive access to the ResourceSpace Digital Asset Management API, enabling search, collections, and administrative operations. It solves problems related to asset discovery, metadata management, and workflow automation, and accepts inputs such as API requests and query parameters. Ideal for use cases involving large-scale digital asset management, it outputs organized asset collections, metadata, and workflow prompts.

Canonical page: https://skillsregistry.net/skills/magnolia-tech-services-llc-ressourcespacemcp  
JSON: https://api.skillsregistry.net/v1/skills/magnolia-tech-services-llc-ressourcespacemcp

## Description

Provides comprehensive access to the ResourceSpace Digital Asset Management API through MCP tools, resources, and workflow prompts, enabling asset management, search, collections, metadata, and administrative operations.

## 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:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hvf902w0x5)
- **Repository:** <https://github.com/Magnolia-Tech-Services-LLC/ressourcespaceMCP>

## 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": "magnolia-tech-services-llc-ressourcespacemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/magnolia-tech-services-llc-ressourcespacemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/magnolia-tech-services-llc-ressourcespacemcp/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