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Airweave Search

MCP server for searching Airweave collections with natural language queries.

Search & KnowledgePythonv0.9.62

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

  1. Connect your apps, databases, and documents (50+ integrations)
  2. Airweave syncs, indexes, and exposes your data through a unified retrieval layer
  3. Agents query Airweave via our SDKs, REST API, MCP, or native integrations with popular agent frameworks
  4. Agents retrieve relevant, grounded context on demand

Quickstart

Cloud-hosted: app.airweave.ai

Self-hosted

git clone https://github.com/airweave-ai/airweave.git
cd airweave
./start.sh

http://localhost:8080

Requires Docker and docker-compose

Supported Integrations

SDKs

pip install airweave-sdk        # Python
npm install @airweave/sdk       # TypeScript
from airweave import AirweaveSDK

client = AirweaveSDK(api_key="YOUR_API_KEY")
results = client.collections.search.instant(
    readable_id="my-collection",
    query="Find recent failed payments"
)

CLI

Search collections, manage sources, and trigger syncs from your terminal:

pip install airweave-cli
airweave auth login
airweave search "quarterly revenue figures" --collection finance-data

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

Contributing

We welcome contributions! See our Contributing Guide.

License

MIT License

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y airweave-mcp-search

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-airweave-ai-search": {
      "command": "npx",
      "args": [
        "-y",
        "airweave-mcp-search"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

airweave-mcp-searchnpm

Compatible MCP Clients

Airweave Search works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

Learn More