Prompt Learning MCP Server
Rank #30252glama/curiositech/prompt-learning-mcp
Provides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.
Prompt Learning MCP Server is a Model Context Protocol (MCP) server published by curiositech. It ranks #30252 of 58,832 servers tracked on MCP Toplist, and its repository has 2 GitHub stars. Prompt Learning MCP Server is listed on Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Jan 17, 2026.
Ranks ahead of 28,580 of 58,832 servers on MCP Toplist.
Listed on 1 registry
curiositech
Not versioned
This server is published through a registry that does not expose explicit version metadata. The listing tracks a single rolling release.
Frequently asked questions
- What is Prompt Learning MCP Server?
- Provides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.
- Who maintains Prompt Learning MCP Server?
- Prompt Learning MCP Server is maintained by curiositech, which publishes 1 MCP server (0 total versions) tracked on MCP Toplist.
- Is Prompt Learning MCP Server an official MCP server?
- Prompt Learning MCP Server is not on the Official MCP Registry. It is listed on Glama.
- How many versions does Prompt Learning MCP Server have?
- Prompt Learning MCP Server ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for Prompt Learning MCP Server?
- The source code for Prompt Learning MCP Server is hosted at github.com/curiositech/prompt-learning-mcp.