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Improve Slack MCP integration with retry logic and comprehensive setup guide

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- Add retry mechanism with exponential backoff for cache sync issues
- Handle 'users cache is not ready yet' errors gracefully
- Add max-retries and retry-delay CLI arguments for better control
- Create comprehensive Slack setup guide with troubleshooting
- Update README with link to detailed setup guide
- Improve error messages and user experience
This commit is contained in:
aakash
2025-10-09 19:54:38 -07:00
parent df168634c8
commit 3b94b7b8af
4 changed files with 386 additions and 17 deletions
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21
README.md
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@@ -777,7 +777,7 @@ Once your iMessage conversations are indexed, you can search with queries like:
### MCP Integration: RAG on Live Data from Any Platform
**NEW!** Connect to live data sources through the Model Context Protocol (MCP). LEANN now supports real-time RAG on platforms like Slack, Twitter, and more through standardized MCP servers.
Connect to live data sources through the Model Context Protocol (MCP). LEANN now supports real-time RAG on platforms like Slack, Twitter, and more through standardized MCP servers.
**Key Benefits:**
- **Live Data Access**: Fetch real-time data without manual exports
@@ -801,18 +801,17 @@ python -m apps.slack_rag \
--query "What did we decide about the product launch?"
```
**Setup Requirements:**
**📖 Comprehensive Setup Guide**: For detailed setup instructions, troubleshooting common issues (like "users cache is not ready yet"), and advanced configuration options, see our [**Slack Setup Guide**](docs/slack-setup-guide.md).
**Quick Setup:**
1. Install a Slack MCP server (e.g., `npm install -g slack-mcp-server`)
2. Create a Slack App and get API credentials:
- Go to [api.slack.com/apps](https://api.slack.com/apps) and create a new app
- Under "OAuth & Permissions", add these Bot Token Scopes: `channels:read`, `channels:history`, `groups:read`, `groups:history`, `im:read`, `im:history`, `mpim:read`, `mpim:history`
- Install the app to your workspace and copy the "Bot User OAuth Token" (starts with `xoxb-`)
- Under "App-Level Tokens", create a token with `connections:write` scope (starts with `xapp-`)
2. Create a Slack App and get API credentials (see detailed guide above)
3. Set environment variables:
```bash
export SLACK_BOT_TOKEN="xoxb-your-bot-token"
export SLACK_APP_TOKEN="xapp-your-app-token"
export SLACK_APP_TOKEN="xapp-your-app-token" # Optional
```
3. Test connection with `--test-connection` flag
4. Test connection with `--test-connection` flag
**Arguments:**
- `--mcp-server`: Command to start the Slack MCP server
@@ -820,6 +819,8 @@ python -m apps.slack_rag \
- `--channels`: Specific channels to index (optional)
- `--concatenate-conversations`: Group messages by channel (default: true)
- `--max-messages-per-channel`: Limit messages per channel (default: 100)
- `--max-retries`: Maximum retries for cache sync issues (default: 5)
- `--retry-delay`: Initial delay between retries in seconds (default: 2.0)
#### 🐦 Twitter Bookmarks: Your Personal Tweet Library
@@ -921,7 +922,7 @@ Want to add support for other platforms? LEANN's MCP integration is designed for
### 🚀 Claude Code Integration: Transform Your Development Workflow!
<details>
<summary><strong>NEW!! AST‑Aware Code Chunking</strong></summary>
<summary><strong>AST‑Aware Code Chunking</strong></summary>
LEANN features intelligent code chunking that preserves semantic boundaries (functions, classes, methods) for Python, Java, C#, and TypeScript, improving code understanding compared to text-based chunking.