Find any captured LLM call by searching prompts, outputs, system prompts, agent names, or user IDs.
MIT
389,466 tools. Last updated 2026-08-04 07:54
"Maintaining Consistent Behavior in System Prompts" matching MCP tools:
- Run multiple generation prompts in sequence with a shared system prompt. Captures errors inline per item, returning all results with delimiters.MIT
- Process a list of prompts in parallel batches to generate multiple images with consistent settings.MIT
- Create custom AI models by specifying a base model and customizing behavior with system prompts, templates, and other parameters.AGPL 3.0
- Retrieve community voting system statistics: overall totals, top prompts, and category distribution.MIT
- Create a new ABAP Behavior Definition (BDEF) in an SAP system. Specify the root entity, implementation type (Managed, Unmanaged, Abstract, or Projection), and package name.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceModel Context Protocol server exposing system prompt files and summaries.Last updated8GPL 3.0
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.Last updated2524
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Free copy-and-run ChatGPT prompts for online stores: 924 prompts, 43 categories + 10 tasks.
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- View system prompts for all four AI agents, showing default and custom configurations for the trading co-pilot.
- 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
- Query and filter recorded events from the append-only event log to inspect the history of agent actions and system state changes.MIT
- Search for AI personas, skills, agents, and prompts in the DollhouseMCP collection using keywords to find behavioral profiles and content types.AGPL 3.0
- Retrieve global job categories to classify jobs and map consistent taxonomy across your recruiting workflow.MIT
- Generate three simple test prompts to verify an agent correctly selects and uses a given tool, ensuring reliable tool behavior.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
- Retrieve a list of simulated user personas with specified voice, language, background sound, and behavior prompts for use in evaluation runs.MIT
- List tracked AI visibility prompts, filterable by engine such as ChatGPT, Claude, Gemini, or Perplexity, to monitor brand presence in AI responses.MIT
- Retrieve Anthropic's official prompting guide to write and optimize prompts for Claude models. Use when designing system prompts or structuring XML tags.MIT
- List the user's sidebar-pinned tasks in display order, automatically dropping deleted or unpinned entries for consistent results.MIT
- Retrieve user-defined behavior dials for rigor, verification, verbosity, and autonomy to enforce consistent responses.MIT
- Initialize project memory system by creating folder structure, generating project-specific prompts, and setting up Claude instructions for AI-driven project management.