patchistry/patchistry-mcp-server
by Various
Patchistry MCP server — AI agent commerce tools (list canvases, list patches, recommend builds, shipping, contact). Built with Model Context Protocol SDK. Deployable to Vercel free
MCP
patchistry/patchistry-mcp-server
Added 18 June 2026
Overview
Patchistry MCP server provides AI agents with commerce tools for listing canvases and patches, recommending builds, and handling shipping and contact. It is built with the Model Context Protocol SDK and can be deployed to Vercel's free tier.
Best for
Best for
Developers building AI agents that need to interact with Patchistry's commerce features
Use cases
- Integrate AI agents with Patchistry's product catalog and build recommendations
- Automate shipping inquiries and contact workflows via MCP
- Deploy a lightweight commerce agent server on Vercel
Notes
Patchistry MCP server provides AI agents with commerce tools for listing canvases and patches, recommending builds, and handling shipping and contact. It is built with the Model Context Protocol SDK and can be deployed to Vercel’s free tier.
0 stars on GitHub. Last updated 2026-06-15. Licensed MIT.
Use cases
- Integrate AI agents with Patchistry’s product catalog and build recommendations
- Automate shipping inquiries and contact workflows via MCP
- Deploy a lightweight commerce agent server on Vercel
Pros
- Free deployment on Vercel reduces hosting costs
- Standard MCP protocol enables easy integration with AI agents
- Focused on a specific commerce use case for Patchistry
Cons
- Zero stars and no community adoption yet
- Limited to Patchistry’s ecosystem and tools
- No documentation or examples beyond the repository description
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Free deployment on Vercel reduces hosting costs
- Standard MCP protocol enables easy integration with AI agents
- Focused on a specific commerce use case for Patchistry
Cons
- Zero stars and no community adoption yet
- Limited to Patchistry's ecosystem and tools
- No documentation or examples beyond the repository description
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