V4.9.6

New Features

1. Apps can now be called externally via MCP.
2. Support for creating tools using the MCP SSE protocol.
3. Batch execution node now supports interactive nodes, enabling human participation in each loop iteration.
4. Added workspace secondary menu with merged toolbox.
5. Added system configurations for grok3, GPT4.1, o-series, and Gemini 2.5 models.

Improvements

1. Enhanced workflow data type conversion robustness and compatibility.
2. Python sandbox code now supports large data inputs.
3. Breadcrumb component now supports configuring whether the last step is clickable.
4. Knowledge base tool call results now automatically prepend image domain names.
5. GitHub Action runner upgraded to Ubuntu 24.
6. Removed extra leading/trailing newlines when replying via Lark, WeChat Official Account, and other third-party channels.
7. Adjusted chunking strategy: large tables are now split into independent chunks instead of being merged into oversized blocks.
8. Iframe embed component now includes built-in microphone permission declaration.

Bug Fixes

1. Sub-workflows with interactive nodes not fully restoring all sub-workflow data.
2. Completion v1 API not accepting the interactive parameter, causing API call failures.
3. Consecutive tool calls causing abnormal context truncation.

Upgrade Guide

1. Back Up Your Data

2. Deploy the MCP Server Service

Docker Deployment

Add the fastgpt-mcp-server service to your docker-compose.yml file:

fastgpt-mcp-server:
  container_name: fastgpt-mcp-server
  image: ghcr.io/labring/fastgpt-mcp_server:v4.9.6
  ports:
    - 3005:3000
  networks:
    - fastgpt
  restart: always
  environment:
    - FASTGPT_ENDPOINT=http://fastgpt:3000

Sealos Deployment

In App Management, add a new fastgpt-mcp-server app with the image ghcr.io/labring/fastgpt-mcp_server:v4.9.6 and set the environment variable FASTGPT_ENDPOINT=<your FastGPT access URL>.

3. Update FastGPT Container Environment Variables

Community Edition

Add the following to your config.json configuration file: "feconfigs.mcpServerProxyEndpoint": "<fastgpt-mcp-server access URL>" (no trailing slash). For example:

{
  "feConfigs": {
    "lafEnv": "https://laf.dev",
    "mcpServerProxyEndpoint": "https://mcp.fastgpt.cn"
  }
}

Pro Edition

In the Admin panel, go to System Configuration - Basic Settings - System Parameters and set the MCP Proxy Server URL to the public access URL of your fastgpt-mcp-server.

4. Update Image Tags

• Update FastGPT image tag: v4.9.6
• Update FastGPT Pro image tag: v4.9.6
• Update Sandbox image tag: v4.9.6
• Add FastGPT MCP Server image tag: v4.9.6
• AIProxy: no update required