MCP Server
Hosts the plugin repository and provides issue tracking for feature requests and bug reports.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP Server
Author: hjlarry
Version: 0.0.4
Type: extension
Repo: https://github.com/hjlarry/dify-plugin-mcp_server
Feature Request: issues
A Dify endpoint plugin that change a dify app to a mcp server.
To keep your data secure, use this plugin exclusively within your private network.
Get Started
1. create a simple workflow app in dify.

2. add a endpoint and select this app.

The app's input schema must define its input parameters. For a chat dify app, ensure to include a query field in the input schema, formatted as follows:
{
"name": "get_weather",
"description": "Get weather status for a place.",
"inputSchema": {
"properties": {
"place": {"title": "Place", "type": "string"}
},
"required": ["place"],
"title": "get_weatherArguments",
"type": "object"
}
}3. copy the endpoint url to your mcp client, like Cherry Studio
Option 1: Use the newest Streamable HTTP protocol (Recommended)

Option 2: Use the legacy SSE protocol

4. enjoy it!

5. To keep your data secure, you can add a Auth Bearer Token on the endpoint setting.
For example, if your Auth Bearer Token is setting to sk-abcdefgh, then the request header of MCP client must add Authorization: Bearer sk-abcdefgh
Related MCP server: MCP HTTP with SSE transport Tools
Changelog
0.0.4
Add response to the
pingmethod of MCP client, some clients use this method to check server healthAdd
Authorization: Bearertoken validatorFix some log incorrect
0.0.3
To fix sse get non-exist key get lots error logs on the plugin daemon.
Add logs to help debug problems.
Streamable http support response object and array.
0.0.2
Add a new Streamable HTTP protocol.
Update dify-plugin-sdk version.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Related MCP Connectors
MCP server for AI dialogue using various LLM models via AceDataCloud
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
MCP server for GLM chat completions using Zhipu AI models via AceDataCloud
Talk to your public-facing AI from any MCP client — Claude, ChatGPT, Cursor, Cline, Windsurf.
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