Mcp Geraquest
Practice prompt engineering through challenges, leaderboards, and community prompts from your agent while you improve how you steer coding models.
Overview
io.github.geraservicesuk/mcp-geraquest is an MCP server for the Build phase that connects agents to PromptQuest prompt-engineering challenges, leaderboards, and community prompts.
What is this MCP server?
- Stdio MCP server (@gera-services/mcp-geraquest v0.1.0) for PromptQuest API
- AI prompt engineering challenges with leaderboard context
- Access community prompts for patterns and benchmarking ideas
- Optional GERAQUEST_API_URL (default https://api.promptquest.app)
- Gamified practice layer separate from production agent skills
- Server version 0.1.0 with stdio transport
- Default API https://api.promptquest.app
- Described features: challenges, leaderboards, community prompts
What problem does it solve?
Weak prompts in daily agent coding lead to rework, yet practice drills usually happen outside your MCP setup.
Who is it for?
Indie developers sharpening LLM prompt skills who already live in Claude Code, Cursor, or Codex with MCP enabled.
Skip if: Teams wanting formal LLM eval pipelines, red-teaming suites, or offline prompt libraries with no PromptQuest API.
What do I get? / Deliverables
Challenge and community-prompt tools run in-agent so you can iteratively improve prompting alongside real build tasks.
- MCP tools for challenges, leaderboards, and community prompt retrieval
- In-workflow prompt practice without a separate browser game tab
Recommended MCP Servers
Journey fit
Prompt craft directly affects Build-phase agent tooling quality—how reliably Claude or Cursor follows your product specs. Agent-tooling subphase covers sharpening prompts and tool-use patterns that ship inside your dev workflow.
How it compares
MCP gamified prompt-practice connector, not a production observability or SKILL.md authoring skill.
Common Questions / FAQ
Who is io.github.geraservicesuk/mcp-geraquest for?
Builders who use MCP agents daily and want PromptQuest challenges and community prompts to improve how they instruct coding models.
When should I use io.github.geraservicesuk/mcp-geraquest?
Use it during Build when you are tuning agent-tooling habits—between or alongside real feature work—not as a substitute for shipping code.
How do I add io.github.geraservicesuk/mcp-geraquest to my agent?
Install @gera-services/mcp-geraquest, add the stdio MCP server to your client config, and configure GERAQUEST_API_URL if you need a non-default PromptQuest endpoint.