Get refining and trading spreads: crack spreads, basis differentials, and blending/transport margins. Use to answer questions about 3-2-1 crack, refining margins, or regional price differences.
MIT
678,874 tools. Updated 2026-10-19 22:54
"Improving and Refining Prompts for Various Uses" matching MCP tools:
- Generate three simple test prompts to verify an agent correctly selects and uses a given tool, ensuring reliable tool behavior.MIT
- Redesign and improve React UI components by refining styling, layout, and responsiveness based on specific user feedback and file context.ISC
- Creates images from text prompts using AI models, returning base64-encoded image data with MIME type for display or saving. Supports custom dimensions, styles, quality, and negative prompts.MIT
- Redesign and improve React UI components by refining styling, layout, or responsiveness based on user input. Returns updated components and implementation instructions for precise enhancements.-
- Initiate a Self-Improving Engine scan to detect and rank vulnerabilities without applying fixes, or apply safe auto-fixes and queue others for approval.MIT
Matching MCP Servers
banana-prompts-mcpofficial
FlicenseBqualityDmaintenanceEnables searching for high-quality AI art prompts from Banana Prompts by tags or keyword queries, with direct links to full prompts and images.229 npm4-- FlicenseAqualityDmaintenanceEnables AI assistants to register prompts for security verification, checking for hidden injections, data exfiltration patterns, and jailbreak attempts, then generate embed codes for displaying security badges on websites.4-
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Free copy-and-run ChatGPT prompts for online stores: 924 prompts, 43 categories + 10 tasks.
Search and read public research figure prompt templates from PaperBanana.
- Add monitoring prompts (questions for LLMs) to a brand monitoring project. Supports up to 50 prompts per request with optional tags, returning IDs for later scanning.MIT
- Queue batch ad generations from a local image folder or prompts file, up to 10 jobs per call, and resume with an offset if limits stop the run.MIT
- Upscale images with enhanced resolution, refining small details and faces for improved clarity.MIT
- Map buyer prompts worth tracking with AI search, SEO demand, trends, citations, Reddit, and YouTube data; return evidence and suggested prompts for AI visibility tracking.MIT
- Retrieve pending security findings from the Self-Improving Engine queue. View severity, detector type, fix class, and remediation for each issue flagged for human approval.MIT
- Reduce vertices in LineString or Polygon geometry to simplify shapes and decrease file size without losing essential form. Ideal for improving map rendering performance.MIT
- Assess if a trader is hot or cooling off by comparing 30-day and all-time PnL, trade count, and win rate, indicating improving, declining, or stable performance.MIT
- Monitor a city's momentum by pulling trend data on unemployment, economics, crime, permits, and 311 complaints from BLS, FRED, FBI. Get a dashboard marking each metric improving, declining, or stable.MIT
- Retrieve favorite prompts and answers to quickly access saved insights and important AI-generated analysis.MIT
- Generate a comprehensive trust boundary detection plan for architecture components, with AI-powered step-by-step prompts and guidance to support threat modeling.Apache 2.0
- Generate intent-balanced, deduplicated AEO prompts for any topic to expand your answer-engine optimization content.MIT
- List and search an organization's saved AI prompts for customer support replies. Filter by name or text to find prompts for AI classifications and responses.MIT
- Retrieve curated AI prompts tailored to a specific profession for use with ChatGPT, Claude, and other LLMs.MIT
- Configure prompts for Omilia miniapps to handle welcome messages, error responses, and user interactions. Define text for different scenarios like greetings, input errors, or system failures.MIT
- Retrieve prompts from LangSmith with options to filter by visibility and limit results for prompt management.MIT