result = refine_prompt("Write a technical blog post", skip_questions=True) print(result["refined_prompt"]) ```
result = refine_prompt("Write a technical blog post", skip_questions=True) print(result["refined_prompt"])
Promptheus analyzes your prompts and refines them with: - Adaptive questioning: Smart detection of what information you need to provide - Multi-provider support: Works with Google, OpenAI, Anthropic, Groq, Qwen, and more - Interactive refinement: Iteratively improve outputs through natural conversation - Session history: Automatically track and reuse past prompts - CLI and Web UI: Use from terminal or browser
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
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 |
|---|---|
| refine_prompt | Intelligent prompt refinement with optional clarification questions. |
| tweak_prompt | |
| list_models | |
| list_providers | |
| validate_environment |
{
"mcpServers": {
"promptheus": {
"command": "uvx",
"args": ["promptheus"],
"env": {
"PROMPTHEUS_TELEMETRY_ENABLED": "your-value",
"PROMPTHEUS_HISTORY_DIR": "your-value",
"GOOGLE_API_KEY": "your-value",
"ANTHROPIC_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| PROMPTHEUS_TELEMETRY_ENABLED | Configuration value read at startup. | Optional |
| PROMPTHEUS_HISTORY_DIR | Filesystem location the server is allowed to use. | Optional |
| GOOGLE_API_KEY | Credential the server authenticates with. | Yes |
| ANTHROPIC_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
CodeSeeker - Advanced code search and transformation for AI assistants. Powered by ugrep with intelligent replace capabilities.
Local codebase search for AI assistants via MCP. Requires Hawkeye and Hawkeye AI Bridge installed.
The Quickchat AI MCP server
A Model Context Protocol server