Analyze a system prompt for context engineering issues and get top findings ranked by severity. Use for reviewing, improving, or debugging AI agent prompts.
MIT
458,064 tools. Updated 2026-08-14 21:02
"Understanding Prompts or Prompt Engineering" matching MCP tools:
- Audit tracked prompts to get intent, realistic metrics, play, and keep/cut/rewrite recommendations for each prompt.MIT
- Retrieve prompts from LangSmith with options to filter by visibility and limit results for prompt management.MIT
- Run multiple generation prompts in sequence with a shared system prompt. Captures errors inline per item, returning all results with delimiters.MIT
- List prompt categories with prompt counts to pinpoint the right category before fetching saved prompts.MIT
- Create a new prompt collection to organize prompts by app, returning its ID and slug for use as a namespace before creating prompts.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceA minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.51MIT
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.2564
Matching MCP Connectors
Free copy-and-run ChatGPT prompts for online stores: 924 prompts, 43 categories + 10 tasks.
27 engineering compliance and calculation tools for the built environment (UK, EU, UAE).
- Detects hidden prompt injection in tool descriptions: file read, exfiltration, instruction override, system prompt extraction, social engineering. Returns findings with pattern and severity.MIT
- Recommends the retrofit level for an existing prompt or SKILL.md using the intent-engineering framework's blast-radius, complexity, and autonomy criteria.MIT
- Retrieve prompt templates for common engineering reasoning workflows, enabling structured step-by-step problem solving without external LLM calls.Apache 2.0
- Enumerates MCP resources and prompts to flag broad URI patterns, sensitive paths, and social engineering risks.MIT
- Generate AI images from text prompts. Provide up to four prompts and choose an aspect ratio; each prompt yields one image.MIT
- Discover available prompt engineering techniques with acceptance statistics to enhance AI interactions through optimized method selection.MIT
- Retrieve prompts from the prompt library with optional name filter and pagination. Manage your prompt collection without using the web UI.MIT
- Transform prompts using engineering best practices to improve clarity and effectiveness for AI assistants.MIT
- Improve prompt quality by applying optimal engineering techniques like chain-of-thought reasoning based on intent analysis.MIT
- List saved prompts from your Pretty Prompt library. Search, filter by favorites, and paginate to find the prompt you need.MIT
- Transforms user requests into optimized prompts using advanced prompt engineering techniques like chain-of-thought and role-based prompting.MIT
- Fetch LangSmith prompts by visibility and limit, returning prompt metadata for collection management.MIT
- Ask clarifying questions to understand user requirements and refine prompts for Claude Code engineering.MIT
- Provide answers to clarifying questions to continue prompt engineering for Claude Code, enabling interactive refinement of optimized prompts.MIT