Last updated
March 17, 2026
MCP profile
Promptheus
AI-powered prompt refinement with adaptive questioning and multi-provider support (6+ LLM backends)
AI & Machine LearningPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
AI-powered prompt refinement with adaptive questioning and multi-provider support (6+ LLM backends) This MCP server enables AI assistants like Claude to seamlessly interact with Promptheus, providing structured access to its functionality through the Model Context Protocol (MCP).
Key Capabilities:
- Integrate with AI models and services
- Manage prompts and model interactions
- Process and analyze AI-generated content
- Orchestrate multi-agent workflows
Common Use Cases:
- Building AI-powered applications
- Multi-model experimentation and comparison
- AI agent orchestration and management
- Prompt engineering and optimization
How It Works: Promptheus integrates with AI coding assistants and chat interfaces through the standardized MCP protocol. Once configured, your AI assistant can directly invoke Promptheus's tools, enabling natural language interaction with its features without manual API calls or custom integrations.
Technical Details: Server type: Package · Language: Python
Capabilities
Model listing is intentionally minimal: Promptheus does not expose your full OpenRouter account catalog.You can still specify a concrete model manually with OPENROUTER_MODEL or --model if your key has access.
Tools & Endpoints12
What Problems It Solves
- If you're already in an async application (e.g.
- FastAPI)
- call refine_prompt_async instead of the sync helper.
Why Use Promptheus?
- Automatically detects whether your task needs refinement or direct optimization
- Ask targeted questions to elicit requirements and improve outputs
- Works seamlessly in Unix pipelines and shell scripts
- Track, load, and reuse past prompts automatically
- Anonymous usage and performance metrics tracking for insights (local storage only, can be disabled)
- Beautiful UI for interactive prompt refinement and history management
Specifications
Status
live
Industry
AI & Machine Learning
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install promptheusPerformance
Usage
Quick Reference
- Name
- Promptheus
- Function
- AI-powered prompt refinement with adaptive questioning and multi-provider support (6+ LLM backends)
- Available Tools
- prompt (required): The initial prompt to refine, answers (optional): Dictionary mapping question IDs to answers {q0: "answer", q1: "answer"}, answer_mapping (optional): Maps question IDs to original question text, provider (optional): Override provider (e.g., "google", "openai"), model (optional): Override model name, {"type": "refined", "prompt": "...", "next_action": "..."}: Success with refined prompt, {"type": "clarification_needed", "questions_for_ask_user_question": [...], "answer_mapping": {...}}: Questions needed, {"type": "error", "error_type": "...", "message": "..."}: Error occurred, prompt (required): Current prompt to modify, modification (required): Description of changes (e.g., "make it shorter"), provider, model (optional): Provider/model overrides, {"type": "refined", "prompt": "..."}: Modified prompt
- Transport
- Package
- Language
- Python
- Install
- pip install promptheus
- Source
- External (Registry)
- License
- Open Source
Get started
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