Audit tracked prompts to get intent, realistic metrics, play, and keep/cut/rewrite recommendations for each prompt.
MIT
749,494 tools. Updated 2026-11-06 01:33
"Servers Offering MCP Prompts as Prompt Primitives" matching MCP tools:
- Returns the RushDB system prompt for MCP clients without Prompts API support, so agents can build queries without native prompt handling.Apache 2.0
- Start a multi-agent workflow by using an annotation, selected node, or direct prompt as entry point, creating agents and opening them in the grid with initial prompts.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
- Manage versioned LLM prompts by listing, reading, or activating stored prompt versions. Activating a version deactivates others for the same task.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.251 npm4-- AlicenseBqualityDmaintenanceMCP server providing 26 visual tools for text-only LLMs, enabling description, coordinate location, OCR, annotation, cropping/zooming, anomaly scanning, and computer control with switchable VLM backends.279MIT
Matching MCP Connectors
Free copy-and-run ChatGPT prompts for online stores: 924 prompts, 43 categories + 10 tasks.
ISO 639 language tag as.
- List all prompt categories with their prompt counts to explore the library structure and discover available areas before searching or creating prompts.MIT
- List all prompts exposed by a connected MCP server, including names, descriptions, and argument schemas, to enable accurate prompt invocation.MIT
- Combine multiple existing prompts into a single prompt to create complex multi-step workflows. Use search_prompts first to find prompt names, then compose them with custom separators.MIT
- Create complex multi-step workflows by combining multiple existing prompts into a single prompt. Use search_prompts to find names, then compose.MIT
- List prompt categories with prompt counts to pinpoint the right category before fetching saved prompts.MIT
- Explore available prompt categories and their prompt counts to understand the library structure before searching or creating prompts.MIT
- Generate AI images from text prompts. Provide up to four prompts and choose an aspect ratio; each prompt yields one image.MIT
- Retrieve prompts from the prompt library with optional name filter and pagination. Manage your prompt collection without using the web UI.MIT
- List saved prompts from your Pretty Prompt library. Search, filter by favorites, and paginate to find the prompt you need.MIT
- Fetch LangSmith prompts by visibility and limit, returning prompt metadata for collection management.MIT
- Analyze prompts in your codebase to identify user-facing prompts requiring security badges and internal prompts needing audit review.-
- Lists all available prompts with metadata including name, description, and optional arguments, enabling discovery of prompt templates.-
- Delete a prompt by ID via Placetel Web API. Use this to remove obsolete or unwanted prompts from your telephony configuration.MITDestructive
- Fetch a recent in-app bug report or user feedback from SnappySnag with screenshots, visual annotations, device metadata, and AI fix prompts; filter by status to review open issues.MIT
- Update project name, monitored LLM models, and auto monitoring settings. Provide only the fields you want to change.MIT