Fix: correct MCP server authentication header format in frontend (#9819)

- Fix MCP test connection authentication issues by updating frontend
request format
- Add variables field with authorization_token for template substitution
- Change headers to use proper Authorization Bearer format with template
variable

🤖 Generated with [Claude Code](https://claude.ai/code)

### What problem does this PR solve?

correct MCP server authentication header format in frontend
### Type of change

 * [x] Bug Fix (non-breaking change which fixes an issue)

---------

Co-authored-by: Marvion <marvionliu@wukongjx.cn>
Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
Marvion
2025-11-03 20:00:27 +08:00
committed by GitHub
parent be3ae0eda9
commit 395ce16b3c
2 changed files with 118 additions and 1 deletions

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CLAUDE.md Normal file
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@@ -0,0 +1,116 @@
# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Project Overview
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. It's a full-stack application with:
- Python backend (Flask-based API server)
- React/TypeScript frontend (built with UmiJS)
- Microservices architecture with Docker deployment
- Multiple data stores (MySQL, Elasticsearch/Infinity, Redis, MinIO)
## Architecture
### Backend (`/api/`)
- **Main Server**: `api/ragflow_server.py` - Flask application entry point
- **Apps**: Modular Flask blueprints in `api/apps/` for different functionalities:
- `kb_app.py` - Knowledge base management
- `dialog_app.py` - Chat/conversation handling
- `document_app.py` - Document processing
- `canvas_app.py` - Agent workflow canvas
- `file_app.py` - File upload/management
- **Services**: Business logic in `api/db/services/`
- **Models**: Database models in `api/db/db_models.py`
### Core Processing (`/rag/`)
- **Document Processing**: `deepdoc/` - PDF parsing, OCR, layout analysis
- **LLM Integration**: `rag/llm/` - Model abstractions for chat, embedding, reranking
- **RAG Pipeline**: `rag/flow/` - Chunking, parsing, tokenization
- **Graph RAG**: `graphrag/` - Knowledge graph construction and querying
### Agent System (`/agent/`)
- **Components**: Modular workflow components (LLM, retrieval, categorize, etc.)
- **Templates**: Pre-built agent workflows in `agent/templates/`
- **Tools**: External API integrations (Tavily, Wikipedia, SQL execution, etc.)
### Frontend (`/web/`)
- React/TypeScript with UmiJS framework
- Ant Design + shadcn/ui components
- State management with Zustand
- Tailwind CSS for styling
## Common Development Commands
### Backend Development
```bash
# Install Python dependencies
uv sync --python 3.10 --all-extras
uv run download_deps.py
pre-commit install
# Start dependent services
docker compose -f docker/docker-compose-base.yml up -d
# Run backend (requires services to be running)
source .venv/bin/activate
export PYTHONPATH=$(pwd)
bash docker/launch_backend_service.sh
# Run tests
uv run pytest
# Linting
ruff check
ruff format
```
### Frontend Development
```bash
cd web
npm install
npm run dev # Development server
npm run build # Production build
npm run lint # ESLint
npm run test # Jest tests
```
### Docker Development
```bash
# Full stack with Docker
cd docker
docker compose -f docker-compose.yml up -d
# Check server status
docker logs -f ragflow-server
# Rebuild images
docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly .
```
## Key Configuration Files
- `docker/.env` - Environment variables for Docker deployment
- `docker/service_conf.yaml.template` - Backend service configuration
- `pyproject.toml` - Python dependencies and project configuration
- `web/package.json` - Frontend dependencies and scripts
## Testing
- **Python**: pytest with markers (p1/p2/p3 priority levels)
- **Frontend**: Jest with React Testing Library
- **API Tests**: HTTP API and SDK tests in `test/` and `sdk/python/test/`
## Database Engines
RAGFlow supports switching between Elasticsearch (default) and Infinity:
- Set `DOC_ENGINE=infinity` in `docker/.env` to use Infinity
- Requires container restart: `docker compose down -v && docker compose up -d`
## Development Environment Requirements
- Python 3.10-3.12
- Node.js >=18.20.4
- Docker & Docker Compose
- uv package manager
- 16GB+ RAM, 50GB+ disk space

View File

@@ -86,7 +86,8 @@ export function EditMcpDialog({
const handleOk = async (values: z.infer<typeof FormSchema>) => {
const nextValues = {
...omit(values, 'authorization_token'),
headers: { authorization_token: values.authorization_token },
variables: { authorization_token: values.authorization_token },
headers: { Authorization: 'Bearer ${authorization_token}' },
};
if (isTriggeredBySaving) {
onOk?.(nextValues);