en How to Integrate Roboflow Universe Using MCP
Run hosted computer-vision model inference. This guide creates an MCP server from Arthur's Roboflow Universe template — tools preconfigured against https://serverless.roboflow.com — and finishes by sharing the server's MCP swagger documentation.
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Open the Secrets vault and create a secret named
ROBOFLOW_UNIVERSE_API_KEYholding your API key. Create a Roboflow workspace key and send it in the api_key query parameter. Keep private keys in Arthur MCP Secrets.Open the Secrets vault to store the Roboflow Universe credential before using the template.
Start the New secret wizard.
Name the secret ROBOFLOW_UNIVERSE_API_KEY — servers reference it by this name.
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Go to the REST API Templates gallery and search for Roboflow Universe.
Record what the credential is for so it stays recognizable.
Continue to the protected value step.
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Click Use template on the Roboflow Universe card to open the server-creation dialog.
Enter the credential value — a demo value here; use your real key when adopting the integration.
Review the generated secret reference syntax.
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Review the server name and select
ROBOFLOW_UNIVERSE_API_KEYin the credential field — the dialog only accepts vault secrets, and it lists every tool that will be created.Store the ROBOFLOW_UNIVERSE_API_KEY secret in the vault.
Open the REST API template gallery.
Search the gallery for the Roboflow Universe integration.
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Click Create server. Arthur creates the server, applies the authentication, and generates all the tools.
Open the Roboflow Universe template with its preconfigured tools.
Name the server after the integration it provides.
Pick the ROBOFLOW_UNIVERSE_API_KEY secret from the vault suggestions.
Select the stored credential.
Create the Roboflow Universe server with its preconfigured tools.
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Open the server's Tools tab to review the generated tools.
Review the tools generated from the Roboflow Universe template.
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Open the server's Connect section and click Share the MCP swagger documentation — Arthur generates the public documentation link and QR code for this server.
Open the server's Connect section, where the MCP endpoint and its documentation live.
Open the MCP swagger documentation share panel.
Show the generated swagger documentation link and QR code for this server.
The server appears with 1 preconfigured tool(s): run_object_detection. The Connect section offers the MCP swagger documentation — a shareable page with setup instructions for any AI client.
- Run a Roboflow object-detection model against a hosted image URL and return JSON predictions containing classes, confidence, and bounding boxes.
- This integration requires a credential (api-key). Get one at https://app.roboflow.com/.
- Official API documentation: https://docs.roboflow.com/deploy/serverless-hosted-api-v2/use-with-the-rest-api
- Editing a tool later never changes the template — templates are starting points, and the server is fully yours after creation.