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

Is my customers' data stored on mcp.ai?

Accepted Answer

No. Whatever VLM Run returns passes through our infrastructure solely to reach the AI assistant you chose, and that content is not stored. By design we don't persist tool-call payloads: the log keeps metadata only (which tool, timestamp, status, duration, size and a hash of the arguments). Your credentials are stored encrypted and you can revoke the connection at any time. Retention periods and details are in the Privacy Policy at mcp.ai/privacy.

Question 6

Is my data used to train AI models?

Accepted Answer

No. Nothing that flows through the connector is used to train or improve AI models, nor shared with third parties for that purpose. The conversation itself, meaning your prompts and the AI's answers, is processed by the AI provider you choose (Claude, ChatGPT and the like), under their own privacy policy.

Question 7

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 8

Can I cancel anytime?

Accepted Answer

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

VLM Run

도구 (11)

API & 에이전트 문서

가이드 및 튜토리얼

Como oferecer um MCP dentro do seu produto

Cada usuário do seu app com o MCP dele

자주 묻는 질문

예시 프롬프트

관련 태그

VLM Run

도구 (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.