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MIT
180,147 tools. Last updated 2026-06-05 14:58
"A tool or technique to improve prompt writing" matching MCP tools:
- Improve prompt quality by applying optimal engineering techniques like chain-of-thought reasoning based on intent analysis.MIT
- Automatically improve a registered prompt by initiating an optimization job with configurable algorithms, datasets, and scorers.MIT
- Improve existing prompts by applying targeted feedback to add missing context, clarify instructions, or adapt for different AI models while preserving original structure.
- Improve AI prompts by applying targeted feedback to enhance clarity, specificity, and model compatibility while preserving original structure and project context.
- Provides practical welding tips to improve bead quality and consistency for MIG, TIG, and Stick processes. Offers guidance on travel speed, angle, voltage settings, and proper technique for beginners and intermediate welders.
Matching MCP Servers
- AlicenseAqualityCmaintenanceRoutes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.Last updated247
- Alicense-qualityBmaintenanceEnables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.Last updated3,3361MIT
Matching MCP Connectors
Cloudflare Workers MCP server: ai-prompt-optimizer
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
- Transform raw prompts into clearer, more detailed versions with better structure to improve LLM results. Enhances AI interactions by adding context and requirements.
- Track prompt performance feedback to improve reasoning framework selection over time. Submit task IDs and execution results for optimization.
- Attach a threat intelligence galaxy cluster, such as a MITRE ATT&CK technique or threat actor, to a MISP event or attribute for enrichment.
- Rewrite any prompt to achieve a higher quality score, with side-by-side output comparisons showing the improvement.MIT
- Retrieve counts, labels, edge types, and schema of your graph database to understand its state before writing queries or after mutations.Apache 2.0
- Send a prompt to one AI backend and return the response. Smart routing selects the optimal backend based on task complexity, or specify a model directly.Apache 2.0
- Retrieve captured browser dialog messages (alert, confirm, prompt) from a buffer. Use to inspect dialog text or verify dialog appearance after an action.MIT
- Submit feedback on code review issues to mark them as fixed, dismissed, or false positives, helping improve future reviews.MIT
- Generate structured prompt templates from feature requirements or existing prompts to enable systematic testing and evaluation of AI applications.Apache 2.0
- Retrieve a specific prompt version by identifier, with optional tag or version ID filtering.Apache 2.0
- Retrieve a specific prompt template from LangSmith by providing its exact name, enabling prompt reuse and management in language model workflows.MIT
- Generate images from text prompts. Customize aspect ratio, number of images, and use prompt optimization to improve results.MIT
- Add new options to a single-select or multi-select column in a SeaTable table. Use this before writing rows that contain option values not yet defined in the column.MIT
- Rate the relevance of a stored memory to improve future recall quality. Submit positive or negative feedback to refine memory retrieval.MIT