Dify Agent Mcp Sse

Created By
junjiema year ago
Overview

What is Dify Agent Mcp Sse?

Dify Agent Mcp Sse is a plugin that supports MCP (Managed Communication Protocol) tools and agent strategies, enabling function calling and reactive strategies through HTTP with Server-Sent Events (SSE) or Streamable HTTP transport.

How to use Dify Agent Mcp Sse?

To use this plugin, install it via the Dify platform's plugin management page by entering the GitHub repository address. You can configure multiple MCP servers for different transport methods.

Key features of Dify Agent Mcp Sse?

  • Supports function calling and reactive strategies.
  • Configurable MCP servers for various transport methods (SSE and Streamable HTTP).
  • Easy installation via GitHub repository.

Use cases of Dify Agent Mcp Sse?

  1. Integrating various MCP services into applications.
  2. Enabling real-time data fetching and processing through SSE.
  3. Facilitating communication between different tools and services using MCP protocol.

FAQ from Dify Agent Mcp Sse?

  • How to handle errors when installing plugins?

If you encounter a bad signature error, add FORCE_VERIFYING_SIGNATURE=false to your .env file to allow installation of unverified plugins.

  • How to install the offline version?

Use the provided scripting tool to download and repackage the Dify plugin for offline use.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
junjiem
Star
-
Language
-
License
-

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@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

5 hours ago
Mnemom

6 hours ago