# Airweave — Context Retrieval Layer for AI Agents, 50+ Integrations > Open-source context retrieval layer connecting AI agents to 50+ apps including Notion, Slack, GitHub, and Jira. Unified search API with MCP support. ## Install Merge the JSON below into your `.mcp.json`: ## Quick Use Self-hosted (Docker): ```bash git clone https://github.com/airweave-ai/airweave cd airweave ./start.sh ``` Or use the hosted version at [app.airweave.ai](https://app.airweave.ai). --- ## Intro Airweave is an open-source context retrieval layer for AI agents and RAG systems with 6,200+ GitHub stars. It connects to 50+ apps (Notion, Slack, GitHub, Jira, Salesforce, and more), continuously syncs data, and exposes everything through a unified search API. Query via Python SDK, TypeScript SDK, REST API, or MCP — making it the single infrastructure layer between your data sources and AI agents. Best for: teams building AI agents that need access to company data across multiple SaaS tools. Works with: Claude Code, any MCP client, LangChain, LlamaIndex. Setup time: under 5 minutes with Docker. --- ## Airweave — Unified Data Layer for AI ### Supported Integrations (50+) | Category | Tools | |----------|-------| | Project Management | Asana, Jira, Linear, Trello | | Knowledge | Notion, Confluence, Google Docs | | Communication | Slack, Discord, Gmail | | Code | GitHub, GitLab, Bitbucket | | CRM | Salesforce, HubSpot | | Data | Airtable, Google Sheets, Snowflake | | Storage | Google Drive, Dropbox, OneDrive | | Support | Zendesk, Intercom | ### Query Methods ```python # Python SDK from airweave import Airweave client = Airweave(api_key="your-key") results = client.search("latest sprint tickets") ``` ```typescript // TypeScript SDK import { Airweave } from '@airweave/sdk'; const client = new Airweave({ apiKey: 'your-key' }); const results = await client.search('latest sprint tickets'); ``` ### MCP Integration Add to your `.mcp.json`: ```json { "mcpServers": { "airweave": { "url": "http://localhost:8080/mcp" } } } ``` ### How It Works 1. **Connect** — Authenticate with your SaaS tools via OAuth 2. **Sync** — Airweave continuously indexes data from all connected sources 3. **Search** — Query all sources through a single unified API 4. **Retrieve** — Get relevant context for your AI agents with source attribution ### FAQ **Q: What is Airweave?** A: Airweave is an open-source context retrieval layer that connects AI agents to 50+ SaaS apps through a unified search API with continuous data syncing. **Q: Is Airweave free?** A: Yes, it's open source under the MIT license. A hosted version is also available at app.airweave.ai. **Q: How do I connect Airweave to Claude Code?** A: Self-host with Docker (`./start.sh`), then add the MCP endpoint to your `.mcp.json` configuration. --- ## Source & Thanks > Created by [airweave-ai](https://github.com/airweave-ai). Licensed under MIT. > > [airweave](https://github.com/airweave-ai/airweave) — ⭐ 6,200+ Thank you for building the bridge between enterprise data and AI agents. --- ## Quick Use Self-host (Docker): ```bash git clone https://github.com/airweave-ai/airweave cd airweave ./start.sh ``` Or use the hosted version: [app.airweave.ai](https://app.airweave.ai) --- ## Intro Airweave is an open-source context retrieval layer for AI agents with 6,200+ GitHub stars. It connects to 50+ apps (Notion, Slack, GitHub, Jira, Salesforce, and more), keeps data in sync, and exposes everything through a unified search API. Query via the Python SDK, TypeScript SDK, REST API, or MCP. --- ## Airweave — Unified Data Layer for AI ### Supported Integrations (50+) | Category | Tools | |----------|-------| | Project management | Asana, Jira, Linear, Trello | | Knowledge bases | Notion, Confluence, Google Docs | | Communication | Slack, Discord, Gmail | | Code | GitHub, GitLab, Bitbucket | --- ## Source & Thanks > Created by [airweave-ai](https://github.com/airweave-ai). Licensed under MIT. > > [airweave](https://github.com/airweave-ai/airweave) — ⭐ 6,200+ --- Source: https://tokrepo.com/en/workflows/airweave-context-retrieval-layer-ai-agents-50-integrations-1abeff10 Author: MCP Hub