Tacobell
- Updated June 17, 2026
- markswendsen-code/mcp-tacobell
io.github.markswendsen-code/tacobell is a MCP server that lets AI agents browse the Taco Bell menu, customize orders, and place pickup.
About
io.github.markswendsen-code/tacobell is an MCP server that exposes Taco Bell menu browsing, customization, and pickup ordering to AI agents. Developers experimenting with conversational commerce, personal automation, or demo apps can install it during agent tooling setup instead of scraping mobile apps or building unofficial clients. The server ships at version 0.1.0 with stdio transport through npm, matching the Strider Labs pattern used for other consumer brand MCP packages. Treat it as a learning and productivity bridge: you validate how structured ordering flows feel when driven by an LLM, then harden auth, payment, and liability before any customer-facing launch. Credential and account requirements depend on how the implementation talks to Taco Bell services, so read the repository before production use.
- stdio MCP server @striderlabs/mcp-tacobell npm package v0.1.0
- Browse menu and customize orders via agent tool calls
- Place pickup orders without leaving the agent session
- Open-source repo markswendsen-code/mcp-tacobell on GitHub
- Useful prototype pattern for conversational food-order agents
Tacobell by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
claude mcp add tacobell -- npx -y @striderlabs/mcp-tacobellAdd your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| Package | @striderlabs/mcp-tacobell |
|---|---|
| Transport | STDIO |
| Auth | None |
| Last updated | June 17, 2026 |
| Repository | markswendsen-code/mcp-tacobell ↗ |
What it does
Let your agent browse the Taco Bell menu, customize items, and place pickup orders through MCP tools.
Who is it for?
Best when you're demoing conversational ordering or automating personal pickup runs from Claude Code or Cursor.
Skip if: Restaurant chains that need PCI-compliant, supported POS integrations instead of an experimental community MCP bridge.
What you get
Once registered, your agent gains MCP tools to explore menu items, customize orders, and submit pickup requests in one workflow.
- Stdio MCP registration for @striderlabs/mcp-tacobell
- Agent tools for menu browse, customization, and pickup placement
- Repeatable script for testing conversational order flows locally
By the numbers
- Server version 0.1.0 per MCP schema
- npm identifier @striderlabs/mcp-tacobell
- stdio transport only
Recommended MCP Servers
0piFree, 2hr expiry agent storage to cache contexts, bridge workflows, or dump data.
100Hires AI ATS & Recruitment SoftwareOfficial 100Hires MCP: AI ATS & Recruitment Software for candidates, jobs, applications, interviews.
123elec McpInterface MCP officielle du site marchand 123elec, catalogue, stock, panier, commandes.
1stayHotel booking MCP server.2
2D Assets MCPMCP server for generating advanced mock 2D PNG assets for game prototypes.43D MeshWeaverMesh spatial optimizer reducing geometric overhead in 3D assets.How it compares
Brand-specific ordering MCP, not a generic Stripe or Square payments server.
FAQ
Who is io.github.markswendsen-code/tacobell for?
Developers wiring consumer-service MCP demos or personal automation who want Taco Bell menu and pickup actions inside their agent.
When should I use io.github.markswendsen-code/tacobell?
Use it during build-phase integrations when you are testing how an agent handles menu customization and pickup order flows.
How do I add io.github.markswendsen-code/tacobell to my agent?
Install @striderlabs/mcp-tacobell, add a stdio MCP server block in your client, and configure any account or API details documented in the GitHub repository.