Dice▌
by dice
Find your next technology job on Dice — search thousands of tech openings, post your resume, and connect with top employ
Search for tech jobs on Dice.com, a leading technology career platform.
github stars
★ —
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Tech professionals job hunting
- / Career research and market analysis
- / Recruiters sourcing opportunities
capabilities
- / Search tech jobs by keyword and location
- / Filter job listings with advanced criteria
- / Get detailed job descriptions and requirements
- / Access company information for job postings
- / Retrieve direct application links
what it does
Searches for technology jobs on Dice.com with keyword and location filtering. Returns job details, company information, and direct application links.
about
Dice is an official MCP server published by dice that provides AI assistants with tools and capabilities via the Model Context Protocol. Find your next technology job on Dice — search thousands of tech openings, post your resume, and connect with top employ This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
how to install
You can install Dice in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Dice is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Dice MCP server?
- Dice 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 Dice?
- This profile displays 66 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.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★66 reviews- ★★★★★James Thompson· Dec 24, 2024
We wired Dice into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Tariq Gill· Dec 16, 2024
Dice reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Nikhil Diallo· Dec 16, 2024
According to our notes, Dice benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Tariq Wang· Dec 12, 2024
Dice has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Nikhil Ramirez· Dec 8, 2024
We evaluated Dice against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Sakshi Patil· Nov 19, 2024
Dice is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★James Martinez· Nov 19, 2024
We evaluated Dice against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Tariq Robinson· Nov 15, 2024
Dice is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★James Shah· Nov 15, 2024
According to our notes, Dice benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Emma Flores· Nov 7, 2024
I recommend Dice for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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