Promptheus

AI-powered prompt refinement with adaptive questioning and multi-provider support (6+ LLM backends)

What does this entry provide?

Promptheus is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Promptheus to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 67/100
Install method: pypi
Repo: abhichandra21/Promptheus
Repo updated: Dec 10, 2025

Install command

uvx promptheus==0.3.1

Install method: pypi

Review the upstream source before running this command.

GitHub project

Quality

Repo stars

Repo updated

Dec 10, 2025

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2025-12-10T06:09:02.751578Z",
      "publishedAt": "2025-12-10T06:09:02.751578Z",
      "statusChangedAt": "2025-12-10T06:09:02.751578Z"
    }
  },
  "server": {
    "name": "io.github.abhichandra21/promptheus",
    "_meta": {
      "io.modelcontextprotocol.registry/publisher-provided": {
        "tools": [
          {
            "name": "refine_prompt",
            "description": "Intelligently refine prompts with adaptive questioning workflow"
          },
          {
            "name": "tweak_prompt",
            "description": "Make surgical modifications to existing prompts"
          },
          {
            "name": "list_models",
            "description": "Discover available models for each AI provider"
          },
          {
            "name": "list_providers",
            "description": "Check provider configuration status"
          },
          {
            "name": "validate_environment",
            "description": "Validate API keys and test provider connections"
          }
        ],
        "features": [
          "Adaptive task detection (analysis vs generation)",
          "Multi-provider support (6+ AI backends)",
          "Interactive and structured question modes",
          "Session history management",
          "Privacy-preserving telemetry"
        ],
        "categories": [
          "AI Tools",
          "Developer Productivity",
          "Prompt Engineering",
          "LLM Utilities"
        ]
      }
    },
    "title": "Promptheus",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-10-17/server.schema.json",
    "version": "0.3.1",
    "packages": [
      {
        "version": "0.3.1",
        "transport": {
          "type": "stdio"
        },
        "identifier": "promptheus",
        "runtimeHint": "python",
        "registryType": "pypi",
        "environmentVariables": [
          {
            "name": "GOOGLE_API_KEY",
            "isSecret": true,
            "description": "Google Gemini API key (optional, at least one provider required)"
          },
          {
            "name": "ANTHROPIC_API_KEY",
            "isSecret": true,
            "description": "Anthropic Claude API key (optional, at least one provider required)"
          },
          {
            "name": "OPENAI_API_KEY",
            "isSecret": true,
            "description": "OpenAI API key (optional, at least one provider required)"
          },
          {
            "name": "GROQ_API_KEY",
            "isSecret": true,
            "description": "Groq API key (optional, at least one provider required)"
          },
          {
            "name": "QWEN_API_KEY",
            "isSecret": true,
            "description": "Alibaba Qwen API key (optional, at least one provider required)"
          },
          {
            "name": "GLM_API_KEY",
            "isSecret": true,
            "description": "Zhipu GLM API key (optional, at least one provider required)"
          },
          {
            "name": "PROMPTHEUS_PROVIDER",
            "description": "Override provider selection (gemini, anthropic, openai, groq, qwen, glm)"
          },
          {
            "name": "PROMPTHEUS_MODEL",
            "description": "Override model selection for the chosen provider"
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/abhichandra21/Promptheus.git",
      "source": "github"
    },
    "websiteUrl": "https://github.com/abhichandra21/Promptheus",
    "description": "AI-powered prompt refinement with adaptive questioning and multi-provider support (6+ LLM backends)"
  }
}

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