modelscope-mcp
Skill4 starsChanged 8 months agoApache-2.0View on GitHub
Configure the official ModelScope MCP server from plain-language setup requests and use it for tool-based Hub discovery.
In this repository15 other files it gives its agents.
- agents/AGENTS.mdAGENTS.md
- modelscope-cliSkill
- modelscope-dataset-explorerSkill
- modelscope-datasetsSkill
- modelscope-evaluationSkill
- gradioSkill
- modelscope-jobsSkill
- modelscope-local-trainerSkill
- modelscope-local-vision-trainerSkill
- modelscope-model-trainerSkill
- modelscope-paper-publisherSkill
- modelscope-tool-builderSkill
- modelscope-trackingSkill
- modelscope-vision-trainerSkill
- transformers-jsSkill
The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 6 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this skill when the runtime supports MCP and the user wants ModelScope search or metadata access exposed as tools.
- Distinctive: line 18
Check whether MCP config already exists.
- Very specific: line 19
Add the minimal valid uvx modelscope-mcp-server config only if needed.
- Distinctive: line 20
Keep token management outside repository files.
- Distinctive: line 21
Use CLI or SDK only when MCP is unavailable.
- Distinctive: line 44
Never invent undocumented MCP tool names.
- Very specific: line 45
Never store MODELSCOPE_API_TOKEN in checked-in files.
- Distinctive: line 46
Keep the config minimal.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
ModelScope MCP
Use this skill when the runtime supports MCP and the user wants ModelScope search or metadata access exposed as tools.
Request Style
- Accept requests such as:
Set up ModelScope MCP for this client.让 agent 可以通过 MCP 搜索模型和数据集。
Workflow
- Check whether MCP config already exists.
- Add the minimal valid
uvx modelscope-mcp-serverconfig only if needed. - Keep token management outside repository files.
- Use CLI or SDK only when MCP is unavailable.
Minimal Valid Config
The expected local launch shape is:
{
"mcpServers": {
"modelscope-mcp": {
"command": "uvx",
"args": ["modelscope-mcp-server"]
}
}
}Reference
references/client_config.md
Guardrails
- Never invent undocumented MCP tool names.
- Never store
MODELSCOPE_API_TOKENin checked-in files. - Keep the config minimal.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

