Enkrypt AI MCP Server

Created By
enkryptaia year ago
Overview

What is Enkrypt AI MCP Server?

The Enkrypt AI MCP Server allows integration of red-teaming, prompt auditing, and AI safety analysis into any Model Context Protocol (MCP)-compatible client such as Claude Desktop or Cursor IDE.

How to use Enkrypt AI MCP Server?

To use the server, clone the repository, install dependencies, and configure it with your MCP-compatible client by providing your API key and server path.

Key features of Enkrypt AI MCP Server?

  • Real-time prompt risk analysis
  • Red-teaming via adversarial prompt generation
  • Tool-based LLM monitoring using the MCP standard
  • Seamless integration with Claude Desktop, Cursor IDE, and other MCP clients

Use cases of Enkrypt AI MCP Server?

  1. Analyzing prompts for potential risks in AI applications.
  2. Conducting red-team exercises to test AI systems against adversarial attacks.
  3. Enhancing AI safety by integrating monitoring tools into workflows.

FAQ from Enkrypt AI MCP Server?

  • How do I get an API key?

You can obtain a free API key from the Enkrypt AI settings page.

  • Is the server compatible with all MCP clients?

Yes, it is designed to work with any MCP-compatible client.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
enkryptai
Star
1
Language
Python
License
-

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@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

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