foodrestaurantsreservationsbooking

@striderlabs/mcp-opentable

by @striderlabs

Let AI agents autonomously book restaurant reservations on OpenTable for you.

Agents can search by cuisine, price, and location, browse available times, and complete reservations end-to-end.

github stars

0

best for

  • / General purpose MCP workflows

capabilities

  • / Search restaurants by cuisine, price range, location
  • / Browse menu details and availability
  • / Check reservation times
  • / Place complete reservations
  • / Track reservations

what it does

Agents can search by cuisine, price, and location, browse available times, and complete reservations end-to-end.

about

OpenTable is a top use case for autonomous personal agents. This server enables agents to handle real-world restaurant bookings without human intervention.

how to install

Installation (NPM) npm install @striderlabs/mcp-opentable Or with npx directly: npx @striderlabs/mcp-opentable

readme

Live in production. Already listed on mcpservers.org, ClawHub, and Glama. Reported 187 downloads/week for Apr 10-17, 2026 with +467% growth and 85%+ task completion rate.

FAQ

What is the @striderlabs/mcp-opentable MCP server?
@striderlabs/mcp-opentable is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for @striderlabs/mcp-opentable?
This profile displays 37 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.737 reviews
  • Ishan Srinivasan· Dec 28, 2024

    We evaluated @striderlabs/mcp-opentable against two servers with overlapping tools; this profile had the clearer scope statement.

  • Ama Mehta· Dec 24, 2024

    I recommend @striderlabs/mcp-opentable for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Ganesh Mohane· Dec 20, 2024

    @striderlabs/mcp-opentable is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Shikha Mishra· Dec 16, 2024

    @striderlabs/mcp-opentable has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Kwame Taylor· Nov 19, 2024

    I recommend @striderlabs/mcp-opentable for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Jin Li· Nov 15, 2024

    We evaluated @striderlabs/mcp-opentable against two servers with overlapping tools; this profile had the clearer scope statement.

  • Yash Thakker· Nov 7, 2024

    According to our notes, @striderlabs/mcp-opentable benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Dhruvi Jain· Oct 26, 2024

    We wired @striderlabs/mcp-opentable into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Henry Agarwal· Oct 10, 2024

    @striderlabs/mcp-opentable reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Mia Flores· Oct 6, 2024

    Useful MCP listing: @striderlabs/mcp-opentable is the kind of server we cite when onboarding engineers to host + tool permissions.

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