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