modelscope.ai valid

ModelScope

ModelScope is an open-source model community, hosting tens of thousands of models and datasets across NLP, CV, speech, multimodal and other mainstream AI domains, offering exploration, inference, training, deployment and application in one place.

For agents: ModelScope: open-source AI model community with models, datasets, studios, MCP servers, agent skills and AIGC tools for NLP, CV, speech and multimodal work.

model hubopen-source modelsdatasetsmcp serversagent skillsai studios

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T06:34:15.337Z. Cached copy · Source on modelscope.ai

# ModelScope

> ModelScope is an open-source model community, hosting tens of thousands of models and datasets across NLP, CV, speech, multimodal and other mainstream AI domains, offering exploration, inference, training, deployment and application in one place.

Model, dataset, studio, paper and documentation pages all have a plain Markdown version: append `.md` to the URL (e.g. `/models/Qwen/Qwen3-8B.md`, `/papers/2505.09388.md`, `/docs/intro/quickstart.md`). Entity versions include metadata and the full body, while documentation versions preserve the original body; both omit page scripts and styles and are preferred for crawling. Model READMEs typically include YAML front matter (license, tags, pipeline_tag, base_model, etc.) that can be parsed directly for structured metadata.

## Core sections

- [Models](https://www.modelscope.ai/models): Open-source model hub, filterable by task, framework and language
- [Datasets](https://www.modelscope.ai/datasets): Public datasets with online preview and download
- [Studios](https://www.modelscope.ai/studios): Interactive online model demos and community creative apps
- [MCP Servers](https://www.modelscope.ai/mcp): Model Context Protocol server collection with hosted deployment and one-click try-out
- [Skills](https://www.modelscope.ai/skills): Reusable open-source Agent Skills marketplace
- [AgentHub](https://www.modelscope.ai/agents): Collection of AI agent applications to discover and try community agents online

## Featured zones

- [AIGC Zone](https://www.modelscope.ai/aigc): Online image, video and music generation and model training, with workflow orchestration and creative inspiration
- [AI for Science](https://www.modelscope.ai/nexa): Models and scientific datasets for research, covering physical, life, earth and social sciences

## Community & events

- [Gallery](https://www.modelscope.ai/gallery): Explore Notebooks and other community works on ModelScope, with free CPU/GPU instances for one-click online runs and quick reproduction of Notebooks and showcases
- [Events](https://www.modelscope.ai/events): AI competitions and community events with challenge details, leaderboards and featured works

## Content & docs

- [Developer Practices](https://www.modelscope.ai/spotlight): Tutorials, articles and builder practices
- [Papers](https://www.modelscope.ai/papers): Papers linked to models on the platform
- [Documentation](https://www.modelscope.ai/docs): Site features, services, and SDK/API docs for open-source frameworks
- [Documentation for AI](https://www.modelscope.ai/docs/llms.txt): Markdown navigation index for all documentation, with a full-content entry

## Programmatic access (preferred for agents)

- [ModelScope MCP Server](https://www.modelscope.ai/mcp/servers/@modelscope/modelscope-mcp-server): Official MCP server exposing model/dataset/studio/paper search and details as tools. Prefer it over scraping HTML — results are structured and always current. Discovery document: /.well-known/mc
…

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Machine-readable: GET /v1/resolve?q=modelscope.ai · GET /v1/domain/modelscope.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for modelscope.ai:
1. POST https://agentwebmap.com/v1/sites/modelscope.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://modelscope.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/modelscope.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/modelscope.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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