Runapi AI MCP vs Clarifyprompt MCP

A side-by-side look at the Runapi AI MCP and Clarifyprompt MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Runapi AI MCP logoRunapi AI MCPMultimedia Process · Local subprocess (stdio)Unified AI model API for 130+ models across 18 providers. Browse models, check pricing, create image/video/music/audio tasks, poll results, check balance, and call LLM endpoints. Free catalog tools work without an API key. npx @runapi.ai/mcp68GreatAuth: api key requiredClarifyprompt MCP logoClarifyprompt MCPMultimedia Process · Local subprocess (stdio)MCP server for AI prompt optimization — transforms vague prompts into platform-optimized prompts for 58+ AI platforms across 7 categories (image, video, voice, music, code, chat, document).64GoodAuth: no auth required

Verdict: choose Runapi AI MCP for multimedia process work as a local process; choose Clarifyprompt MCP for multimedia process as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Runapi AI MCP logoChoose Runapi AI MCP when

  • You need dedicated capabilities in the Multimedia Process domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You want tools like list_models, get_model_info, list_actions.
Explore Runapi AI MCP

Clarifyprompt MCP logoChoose Clarifyprompt MCP when

  • You need dedicated capabilities in the Multimedia Process domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: No auth required.
  • You want tools like optimize_prompt, list_categories, list_platforms.
Explore Clarifyprompt MCP

Feature & specification comparison

Rows where the two servers differ are marked.

SpecRunapi AI MCP logoRunapi AI MCPClarifyprompt MCP logoClarifyprompt MCP
CategoryMultimedia ProcessMultimedia Process
Quality signal68/100 · Great64/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthAPI key requiredNo auth required
PricingFreeFree
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars5613
Directory activity 6 views 0 installs 0 upvotes 5 views 0 installs 0 upvotes
Tools97

Tools & capabilities

Runapi AI MCP tools 9

  • list_modelsList RunAPI models from the embedded catalog. Optional filters: modality, service, or action.
  • get_model_infoGet supported endpoint, current runtime pricing, and input constraints for a RunAPI model slug. Add service and action when the model supports multiple endpoints.
  • list_actionsList RunAPI endpoint names grouped by output modality.
  • check_pricingReturn current runtime pricing for a RunAPI model/action pair.
  • search_promptsSearch RunAPI prompt examples by modality, category, tags, text query, model, or featured status. Free, no API key required.
  • check_balanceReturn the authenticated RunAPI account balance and spending metrics.
  • create_taskRun a RunAPI operation with a caller-generated idempotency key. Asynchronous operations can optionally poll until completion.
  • get_taskFetch the current status and latest payload for an existing RunAPI task.
  • loginAuthenticate RunAPI by opening a browser PKCE login flow and saving the API key to ~/.config/runapi/config.json.

Clarifyprompt MCP tools 7

  • optimize_promptThe main tool. Optimizes a prompt for a specific AI platform.
  • list_categoriesLists all 7 categories with platform counts (built-in and custom) and defaults.
  • list_platformsLists available platforms for a given category, including custom registered platforms. Shows which is the default and whether custom instructions are configured.
  • list_modesLists all 7 output modes with descriptions.
  • register_platformRegister a new custom AI platform for prompt optimization.
  • update_platformUpdate a custom platform or add instruction overrides to a built-in platform.
  • unregister_platformRemove a custom platform or clear instruction overrides from a built-in platform.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Runapi AI MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "runapi-ai-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@runapi.ai/mcp"
      ]
    }
  }
}

Clarifyprompt MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "lumabyteco-clarifyprompt-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "clarifyprompt-mcp"
      ]
    }
  }
}

Frequently asked questions

Runapi AI MCP is categorized under Multimedia Process and uses a local stdio subprocess. Clarifyprompt MCP belongs to Multimedia Process and uses a local stdio subprocess. Pick Runapi AI MCP for multimedia process work and Clarifyprompt MCP for multimedia process.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Runapi AI MCP is listed as free. Auth: api key required. Clarifyprompt MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add runapi-ai-mcp and lumabyteco-clarifyprompt-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Runapi AI MCP has a quality signal of 68/100 (Great) with 6 views, 0 installs and 56 GitHub stars. Clarifyprompt MCP has 64/100 (Good) with 5 views, 0 installs and 13 GitHub stars.