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LumabyteCo/clarifyprompt-mcp

by Various

LumabyteCo/clarifyprompt-mcp — indexed from awesome-mcp-servers-punkpeye

L

MCP

LumabyteCo/clarifyprompt-mcp

Added 1 June 2026

Overview

LumabyteCo/clarifyprompt-mcp is a Model Context Protocol server that refines user prompts for clarity and specificity. It analyzes input prompts and suggests improvements to reduce ambiguity, helping developers craft more effective queries for language models.

Best for

Best for
Developers building MCP-based tools who need to automatically improve prompt quality before LLM calls

Use cases

  • Improve vague or ambiguous prompts before sending to an LLM
  • Automate prompt refinement in a development workflow
  • Integrate prompt clarification into a custom MCP client

How to use

Tools exposed

  • streamable-http

Tested with

Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT

Notes

LumabyteCo/clarifyprompt-mcp is a Model Context Protocol server that refines user prompts for clarity and specificity. It analyzes input prompts and suggests improvements to reduce ambiguity, helping developers craft more effective queries for language models.

5 stars on GitHub. Last updated 2026-06-01. Licensed Apache-2.0.

Use cases

  • Improve vague or ambiguous prompts before sending to an LLM
  • Automate prompt refinement in a development workflow
  • Integrate prompt clarification into a custom MCP client

Pros

  • Lightweight TypeScript implementation with minimal dependencies
  • Directly addresses a common pain point in LLM interactions
  • Easy to integrate as an MCP server in existing toolchains

Cons

  • Limited to prompt clarification only, no broader functionality
  • Small community and low star count may indicate limited testing
  • Requires an MCP-compatible client to be useful

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight TypeScript implementation with minimal dependencies
  • Directly addresses a common pain point in LLM interactions
  • Easy to integrate as an MCP server in existing toolchains

Cons

  • Limited to prompt clarification only, no broader functionality
  • Small community and low star count may indicate limited testing
  • Requires an MCP-compatible client to be useful
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