
Airweave Search
io.github.airweave-aiPublished by GitHub account airweave-aiv0.9.62Updated Oct 25, 2026
MCP server for searching Airweave collections with natural language queries.
Overview
Airweave Search lets an assistant run natural-language queries against an Airweave collection, returning grounded context synced from connected apps, databases,
- What you can do
- Search an Airweave collection with natural-language queries and retrieve relevant, grounded context from synced sources in a single request.
- When to use it
- Use it when your data already lives in an Airweave collection and you want an assistant to pull grounded, up-to-date context from multiple connected sources instead of rebuilding retrieval pipelines.
- Requirements
- A remote endpoint or the local npm package airweave-mcp-search over stdio. Authentication is required: an Airweave API key via AIRWEAVE_API_KEY or the X-API-Key header, plus the target collection via AIRWEAVE_COLLECTION or the X-Collection-Readable-ID header. AIRWEAVE_BASE_URL optionally overrides the API base URL. Network access to Airweave.
Installation
In SourceWeft
- Open Airweave Search in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.airweave-ai%2Fsearch/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"airweave-search": {
"type": "http",
"url": "https://mcp.airweave.ai/mcp"
}
}
}README
Open-source context retrieval layer for AI agents and RAG systems.
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What is Airweave?
Airweave connects to your apps, tools, and databases, continuously syncs their data, and exposes it through a unified, LLM-friendly search interface. AI agents query Airweave to retrieve relevant, grounded, up-to-date context from multiple sources in a single request.
Where it fits
Airweave sits between your data sources and AI systems as shared retrieval infrastructure. It handles authentication, ingestion, syncing, indexing, and retrieval so you don't have to rebuild fragile pipelines for every agent or integration.
How it works
- Connect your apps, databases, and documents (50+ integrations)
- Airweave syncs, indexes, and exposes your data through a unified retrieval layer
- Agents query Airweave via our SDKs, REST API, MCP, or native integrations with popular agent frameworks
- Agents retrieve relevant, grounded context on demand
Quickstart
Cloud-hosted: app.airweave.ai
Self-hosted
Requires Docker and docker-compose
Supported Integrations
[Airtable] [Apollo.io] [Asana] [Attio] [Bitbucket] [Box] [cal.com] [ClickUp] [Coda] [Confluence] [Dropbox] [Intercom] [FireFlies] [Freshdesk] [Github] [Gitlab] [Gmail] [Google Calendar] [Google Docs] [Google Drive] [Hubspot] [Jira] [Linear] [Notion] [Onedrive] [PowerPoint] [Salesforce] [ServiceNow] [Sharepoint] [Slab] [Slack] [Slite] [Stripe] [Trello] [Zendesk] [Zoom]
SDKs
[SDK Documentation] [Example Notebooks]
CLI
Search collections, manage sources, and trigger syncs from your terminal:
The CLI outputs rich interactive results in your terminal and clean JSON when piped — making it work for both developers and AI agents.
Tech Stack
- Frontend: React/TypeScript with ShadCN
- Backend: FastAPI (Python)
- Databases: PostgreSQL (metadata), Vespa (vectors)
- Workers: Temporal (orchestration), Redis (pub/sub)
- Deployment: Docker Compose (dev), Kubernetes (prod)
Contributing
We welcome contributions! See our Contributing Guide.
License
Source: README.md at commit 1ebe1af
Tools
0Version history
1- v0.9.62LatestSep 16, 2026
Score
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