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Tacobell

markswendsen-code/mcp-tacobell
STDIOregistry active
Summary

This server connects Claude to the Taco Bell ordering system, letting you browse the menu, customize items, and place pickup orders through conversation. The repository is light on implementation details, but the intended workflow is clear: ask your AI to check what's available, build an order with modifications, and submit it for pickup. You'd reach for this when you want to automate fast food orders or build an agent that handles meal coordination. The package is published as @striderlabs/mcp-tacobell on npm and runs over stdio transport. Whether this actually hits real Taco Bell APIs or mocks the experience isn't documented in the visible source.

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create and run specialised agents in minutes
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
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Featured
CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
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Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Registryactive
Package@striderlabs/mcp-tacobell
TransportSTDIO
UpdatedMar 15, 2026
View on GitHub

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