Verify MCP server status and retrieve top example prompts for all tool categories after installation.
MIT
134,200 tools. Last updated 2026-05-24 18:23
"Example Usage of MCP Prompts" matching MCP tools:
- Generate custom voices using description prompts and preview text with MiniMax MCP JS. Save outputs to specified directories for text-to-speech applications.MIT
- List virtual keys in your Portkey org to retrieve slugs for prompts or auditing. Returns name, slug, status, usage limits, rate limits, reset state, and model config.MIT
- Execute a single AI model call to test prompts before building full workflows. Returns output, token usage, estimated provider cost, and trace URL.MIT
- Securely store a provider API key as an encrypted virtual key. Returns a unique slug for use in prompts and configurations, with optional usage and rate limits.MIT
- Create a new prompt collection to organize prompts by app. Use this to establish a namespace before creating prompts; returns collection id and slug.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceAn MCP server that retrieves current GitHub Copilot usage data, including quotas, limits, and usage statistics. It allows AI agents to monitor premium interaction status and detailed account usage via raw or formatted summaries.Last updated334MIT
- FlicenseCquality-maintenanceexample-mcp-server-stdioLast updated8
Matching MCP Connectors
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- Guide developers through building Aptos dApps by establishing mandatory consultation workflows and preventing outdated knowledge usage.Apache 2.0
- Audit token usage and estimate costs for MCP servers. Optionally filter by server name to focus on specific infrastructure.MIT
- Retrieve specific examples from LangSmith datasets using example IDs and optional version timestamps for data analysis and model evaluation.MIT
- Bulk enable or disable capabilities on an MCP integration, immediately hiding or exposing selected tools, resources, and prompts for connected users.MIT
- Retrieve prompts from LangSmith with options to filter by visibility and limit results for prompt management.MIT
- Create and push prompts to LangSmith for managing and deploying prompt templates within the observability platform.MIT
- Fetch full metadata and a copy-pasteable React usage example for any UploadKit component by name. Returns TSX code with import lines; suggests similar components if name not found.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
- Access the complete guide with all available tools and usage examples to understand how to search iMessage history and analyze conversation patterns.MIT
- Compare AI model performance by testing 1-5 models simultaneously with identical prompts. Get output text, latency, token usage, and cost estimates for informed model selection.MIT
- Run multiple generation prompts in sequence with a shared system prompt. Captures errors inline per item, returning all results with delimiters.MIT
- Execute prompts with LLMs by retrieving templates from MCP servers, filling variables, and returning structured responses with metadata for testing workflows.MIT
- Stop anonymous usage telemetry collection in Optimizely DXP MCP Server to prevent analytics and error data gathering. Telemetry is optional and helps improve server functionality.MIT
- Execute multiple CLI agent prompts in parallel using server-side asyncio, enabling concurrent task processing with controlled concurrency limits.MIT