feat: Add MCP integration support for Slack and Twitter

- Implement SlackMCPReader for connecting to Slack MCP servers
- Implement TwitterMCPReader for connecting to Twitter MCP servers
- Add SlackRAG and TwitterRAG applications with full CLI support
- Support live data fetching via Model Context Protocol (MCP)
- Add comprehensive documentation and usage examples
- Include connection testing capabilities with --test-connection flag
- Add standalone tests for core functionality
- Update README with detailed MCP integration guide
- Add Aakash Suresh to Active Contributors

Resolves #36
This commit is contained in:
aakash
2025-10-03 20:03:33 -07:00
parent 658bce47ef
commit 1fdc9dfbfa
10 changed files with 1759 additions and 2 deletions

121
README.md
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@@ -176,7 +176,7 @@ response = chat.ask("How much storage does LEANN save?", top_k=1)
## RAG on Everything!
LEANN supports RAG on various data sources including documents (`.pdf`, `.txt`, `.md`), Apple Mail, Google Search History, WeChat, ChatGPT conversations, Claude conversations, iMessage conversations, and more.
LEANN supports RAG on various data sources including documents (`.pdf`, `.txt`, `.md`), Apple Mail, Google Search History, WeChat, ChatGPT conversations, Claude conversations, iMessage conversations, and **live data from any platform through MCP (Model Context Protocol) servers** - including Slack, Twitter, and more.
@@ -774,6 +774,123 @@ Once your iMessage conversations are indexed, you can search with queries like:
</details>
### 🔌 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.
**Key Benefits:**
- 🔄 **Live Data Access**: Fetch real-time data without manual exports
- 🔌 **Standardized Protocol**: Use any MCP-compatible server
- 🚀 **Easy Extension**: Add new platforms with minimal code
- 🔒 **Secure Access**: MCP servers handle authentication
<details>
<summary><strong>💬 Slack Messages: Search Your Team Conversations</strong></summary>
Transform your Slack workspace into a searchable knowledge base! Find discussions, decisions, and shared knowledge across all your channels.
```bash
# Test MCP server connection
python -m apps.slack_rag --mcp-server "slack-mcp-server" --test-connection
# Index and search Slack messages
python -m apps.slack_rag \
--mcp-server "slack-mcp-server" \
--workspace-name "my-team" \
--channels general dev-team random \
--query "What did we decide about the product launch?"
```
**Setup Requirements:**
1. Install a Slack MCP server (e.g., `npm install -g slack-mcp-server`)
2. Configure Slack API credentials:
```bash
export SLACK_BOT_TOKEN="xoxb-your-bot-token"
export SLACK_APP_TOKEN="xapp-your-app-token"
```
3. Test connection with `--test-connection` flag
**Arguments:**
- `--mcp-server`: Command to start the Slack MCP server
- `--workspace-name`: Slack workspace name for organization
- `--channels`: Specific channels to index (optional)
- `--concatenate-conversations`: Group messages by channel (default: true)
- `--max-messages-per-channel`: Limit messages per channel (default: 100)
</details>
<details>
<summary><strong>🐦 Twitter Bookmarks: Your Personal Tweet Library</strong></summary>
Search through your Twitter bookmarks! Find that perfect article, thread, or insight you saved for later.
```bash
# Test MCP server connection
python -m apps.twitter_rag --mcp-server "twitter-mcp-server" --test-connection
# Index and search Twitter bookmarks
python -m apps.twitter_rag \
--mcp-server "twitter-mcp-server" \
--max-bookmarks 1000 \
--query "What AI articles did I bookmark about machine learning?"
```
**Setup Requirements:**
1. Install a Twitter MCP server (e.g., `npm install -g twitter-mcp-server`)
2. Configure Twitter API credentials:
```bash
export TWITTER_API_KEY="your-api-key"
export TWITTER_API_SECRET="your-api-secret"
export TWITTER_ACCESS_TOKEN="your-access-token"
export TWITTER_ACCESS_TOKEN_SECRET="your-access-token-secret"
```
3. Test connection with `--test-connection` flag
**Arguments:**
- `--mcp-server`: Command to start the Twitter MCP server
- `--username`: Filter bookmarks by username (optional)
- `--max-bookmarks`: Maximum bookmarks to fetch (default: 1000)
- `--no-tweet-content`: Exclude tweet content, only metadata
- `--no-metadata`: Exclude engagement metadata
</details>
<details>
<summary><strong>💡 Click to expand: Example queries you can try</strong></summary>
**Slack Queries:**
- "What did the team discuss about the project deadline?"
- "Find messages about the new feature launch"
- "Show me conversations about budget planning"
- "What decisions were made in the dev-team channel?"
**Twitter Queries:**
- "What AI articles did I bookmark last month?"
- "Find tweets about machine learning techniques"
- "Show me bookmarked threads about startup advice"
- "What Python tutorials did I save?"
</details>
<details>
<summary><strong>🔧 Adding New MCP Platforms</strong></summary>
Want to add support for other platforms? LEANN's MCP integration is designed for easy extension:
1. **Find or create an MCP server** for your platform
2. **Create a reader class** following the pattern in `apps/slack_data/slack_mcp_reader.py`
3. **Create a RAG application** following the pattern in `apps/slack_rag.py`
4. **Test and contribute** back to the community!
**Popular MCP servers to explore:**
- GitHub repositories and issues
- Discord messages
- Notion pages
- Google Drive documents
- And many more in the MCP ecosystem!
</details>
### 🚀 Claude Code Integration: Transform Your Development Workflow!
<details>
@@ -1047,7 +1164,7 @@ MIT License - see [LICENSE](LICENSE) for details.
Core Contributors: [Yichuan Wang](https://yichuan-w.github.io/) & [Zhifei Li](https://github.com/andylizf).
Active Contributors: [Gabriel Dehan](https://github.com/gabriel-dehan)
Active Contributors: [Gabriel Dehan](https://github.com/gabriel-dehan), [Aakash Suresh](https://github.com/ASuresh0524)
We welcome more contributors! Feel free to open issues or submit PRs.