Question 1

What is VLM Run MCP?

Accepted Answer

It's an MCP (Model Context Protocol) server that connects VLM Run to your AI, giving the agent tools to act on your data — through a single remote link.

Question 2

Which AI clients does it work with?

Accepted Answer

Any MCP-compatible client: Claude (web, desktop and mobile), Cursor, ChatGPT with connectors, OpenClaw and other agents.

Question 3

Do I need to code?

Accepted Answer

No. Paste the remote URL into your client, authenticate once, and you're done — no packages to install, no code to write.

Question 4

Is it secure? Can the AI change my data?

Accepted Answer

Access is authorized by you and can be revoked anytime. Permissions follow what VLM Run exposes; you approve them when connecting.

Question 5

How much does it cost?

Accepted Answer

You start free and upgrade when you need more usage. Billing and limits are managed in your mcp.ai account.

Question 6

Can I cancel anytime?

Accepted Answer

Yes. Plans are monthly and can be cancelled at any time, with no lock-in.

VLM Run

工具 (11)

API 与智能体文档

常见问题

示例提示词

相关标签

VLM Run

工具 (11)

vlm_run_create_skillCreate a reusable skill from exactly one uploaded zip, prompt, or chat session.

vlm_run_discover_extraction_schemasList supported structured-extraction domains, or return the full JSON schema for one domain when domain is provided.

vlm_run_execute_agentStart a VLM Run agent execution from an existing agent name or inline configuration over multimodal inputs. Execution may consume credits and is asynchronous by default; poll the returned ID with VLM_

vlm_run_extract_structured_jsonStart structured JSON extraction from images, a document, a video, or audio using a domain, custom schema, or skill. Extraction may consume credits; document, video, and audio runs are asynchronous by

vlm_run_find_filesList uploaded files or find one by file ID or MD5 hash. In list mode, use offset and limit until has_more is false.

vlm_run_find_skillsList VLM Run skills or find one exact skill by ID, name, and optional version. In list mode, continue from next_offset while has_more is true.

vlm_run_get_runGet the current status and result of one structured-extraction prediction or agent execution; call repeatedly to poll asynchronous work.

vlm_run_list_agentsReturn agents available to the connected account for selection before execution.

vlm_run_list_artifactsList artifact metadata belonging to exactly one chat session or agent execution. Use offset and limit to traverse pages until has_more is false.

vlm_run_list_runsList structured-extraction predictions or agent executions for the connected account. Use offset and limit to traverse pages until has_more is false.

vlm_run_upload_fileUpload a local file to VLM Run for extraction, agent input, or skill creation. Retain the returned file ID for tools that consume uploaded files.