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598,406 tools. Updated 2026-09-21 23:19

"A tool or technique to improve prompt writing" matching MCP tools:

  • Convert a TouchDesigner technique's GLSL source into a RecipeSchema draft. Read-only operation generates a recipe version without writing files or touching the TD bridge.
    MIT
  • Retrieves Google's official Prompting Guide to help write, refine, or optimize prompts. Use it when you need to craft high-quality prompts following proven best practices.
    MIT
  • Look up a MITRE ATLAS technique to identify AI/ML adversarial attacks such as prompt injection or model theft. Retrieve technique details, tactics, and related references for threat analysis and defense planning.
    MIT
  • Normalize any actor, malware, tool, or technique alias to its canonical name and stable UUID, ensuring accurate threat intelligence lookups.
    MIT
  • Get guidance on writing effective prompts for Grok Imagine video generation. Learn prompt structure, examples, and tips to improve results.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    69 npm
    1
    MIT

Matching MCP Connectors

  • Improve your prompt by submitting a draft and receiving a polished, structured version with explanations and suggested follow-up questions for further refinement.
    MIT
  • Rewrite a pasted draft to improve writing quality while preserving names, numbers, quotations, and links. Get before/after writing scores and a review warning if the target is missed.
    MIT
  • Transform raw prompts into clearer, more detailed versions with better structure to improve LLM results. Enhances AI interactions by adding context and requirements.
    MIT
  • Report whether a recommended tool worked to improve future recommendations. Provide your outcome and optional comment after trying a tool from search results.
    MIT
  • Convert an embedded TouchDesigner technique with GLSL source into a RecipeSchema draft, read-only, without writing files or touching the TD bridge.
    MIT
  • Improves prompts by optimizing few-shot examples from a user-provided dataset, applying a specified method to match target responses or improve rubric scores.
    Apache 2.0
  • Track prompt performance feedback to improve reasoning framework selection over time. Submit task IDs and execution results for optimization.
    MIT
  • Improve prompt quality by applying optimal engineering techniques like chain-of-thought reasoning based on intent analysis.
    MIT