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Use saved nanoodle workflow graphs as MCP tools with flexible payment options.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "nanoodle" MCP server from askskill: Run: claude mcp add 'io-github-nanoodlecom-nanoodle-mcp' -- npx -y nanoodle-mcp
A developer exposes workflow graphs already saved in nanoodle as MCP tools for an AI assistant to call, reducing repeated integration work. This lets teams reuse existing flows instead of rebuilding them.
When connecting workflow tools, teams can choose between bring-your-own-key and pay-per-call. This fits situations where users need flexibility in how access is paid for.
It exposes saved nanoodle workflow graphs as MCP tools for external use. The original description also says it supports BYOK or pay-per-call with Nano.
Based on the provided information, you need saved nanoodle workflow graphs at minimum. For installation steps, runtime requirements, or key details, see the source repository.
The description explicitly mentions two options: BYOK, or pay per call using Nano (x402). More detailed billing rules are not provided; see the source repository.
Build Nanograph datasources from Markdown or PDF and serve them via MCP or HTTP.
Use Google Nano Banana image models via MCP and get file paths.
Manage, test, validate, and version n8n workflows and credentials with AI.
Connect one MCP endpoint to multiple downstream servers with on-demand capability routing.
Build n8n automation workflows from natural language for faster integrations.
Use an AI agent to build, run, and manage n8n workflows.