How do I install the clarifyprompt mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `LLM_API_URL`, `CLARIFYPROMPT_A2A_BASE_URL`, `CLARIFYPROMPT_HTTP_HOST`, `CLARIFYPROMPT_HTTP_PATH` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Clarifyprompt MCP Server

Context-aware MCP prompt compiler with a composable pipeline: clarify_with_user → ground_prompt OR optimize_prompt → critique_prompt, all in one call

Remote serverstreamable-http

What is the Clarifyprompt MCP Server?

Context-aware MCP prompt compiler with a composable pipeline: clarify_with_user → ground_prompt OR optimize_prompt → critique_prompt, all in one call via

What the server does

A context-aware MCP prompt compiler that transforms vague prompts into platform-optimized prompts for 60+ AI platforms across 7 categories — grounded in your workspace signals (CLAUDE.md, AGENTS.md, .cursorrules, package.json), resolved intent, and the capabilities of the target model.

Recorded tools

streamable-http — MCP Streamable HTTP over Node's built-in http (no new deps): stateful sessions (mcp-session-id), SSE streaming, a /health probe
a2a — Serve as an A2A (Agent-to-Agent) peer — agent card, JSON-RPC + SSE (see 1.12.0 above)

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
Inputs	Path
optimize_prompt
list_categories
list_platforms
list_modes
register_platform
update_platform
unregister_platform

How to install the Clarifyprompt MCP Server

{
  "mcpServers": {
    "clarifyprompt": {
      "command": "npx",
      "args": [
        "-y",
        "clarifyprompt-mcp"
      ],
      "env": {
        "LLM_API_URL": "http://localhost:11434/v1",
        "LLM_MODEL": "qwen2.5:7b"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Variable	Description	Required
LLM_API_URL	Declared in the maintainer’s client configuration.	Optional
LLM_MODEL	Declared in the maintainer’s client configuration.	Check documentation

Example prompts to try

“Use Clarifyprompt MCP to Accept.”
“Use Clarifyprompt MCP to Clarification-aware.”
“Use Clarifyprompt MCP to Fixed.”

Frequently asked questions

Context-aware MCP prompt compiler with a composable pipeline: clarify_with_user → ground_prompt OR optimize_prompt → critique_prompt, all in one call via Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.