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Build, simulate, deploy, and manage CRE workflows via Chainlink runtime.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "CRE MCP Server" yet — see the docs or source repo.
Using the CRE MCP Server, create a new CRE workflow that listens to a specific on-chain event, triggers a data processing step, and simulates the execution locally. Return each node's result and any possible errors.
A defined and simulated CRE workflow with execution steps, simulation results, and error details.
Check the deployment prerequisites for this CRE workflow and deploy it to the target environment through the CRE MCP Server. If any configuration is missing, list the gaps and suggest fixes.
A deployment status report with environment checks, deployment results, and any missing configuration items.
Using the CRE MCP Server, list all CRE workflows in the current environment, include their runtime status and last updated time, then pause a specified workflow and return the operation result.
A current workflow inventory with status summaries, plus the management action result for the specified workflow.
Fetch and analyze ERC-20 metadata, balances, and allowances across chains.
Turn any OpenAPI V3 API into an MCP server for easy integration.
Create and run custom multi-language tools dynamically for MCP clients.
Create tasks, manage knowledge, connect apps, and approve AI actions.
Deploy applications to Google Cloud Run quickly for development and operations.
Access real estate data and services for listing lookup, analysis, and automation.