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PopNx MCPMCP servers for people who use AI · explained in plain words

Airweave Search

by airweave-aiversion 0.9.62i★ –iComputer or cloud
Registry nameio.github.airweave-ai/search

Install

Overview

Description from the maker (original English)

MCP server for searching Airweave collections with natural language queries.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Search & AI memory
  • You need to fill in: AIRWEAVE_API_KEY, AIRWEAVE_COLLECTION, X-API-Key, X-Collection-Readable-ID

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • You fill in yourself: AIRWEAVE_API_KEY, AIRWEAVE_COLLECTION, AIRWEAVE_BASE_URL, X-API-Key, X-Collection-Readable-ID

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "search": {
      "command": "npx",
      "args": [
        "-y",
        "airweave-mcp-search"
      ],
      "env": {
        "AIRWEAVE_API_KEY": "your-value",
        "AIRWEAVE_COLLECTION": "your-value",
        "AIRWEAVE_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http search https://mcp.airweave.ai/mcp --header 'X-API-Key: your-value' --header 'X-Collection-Readable-ID: your-value'

Or run it on your computer

claude mcp add search --env AIRWEAVE_API_KEY=your-value --env AIRWEAVE_COLLECTION=your-value --env AIRWEAVE_BASE_URL=your-value -- npx -y airweave-mcp-search

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "search": {
      "url": "https://mcp.airweave.ai/mcp",
      "headers": {
        "X-API-Key": "your-value",
        "X-Collection-Readable-ID": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "search": {
      "command": "npx",
      "args": [
        "-y",
        "airweave-mcp-search"
      ],
      "env": {
        "AIRWEAVE_API_KEY": "your-value",
        "AIRWEAVE_COLLECTION": "your-value",
        "AIRWEAVE_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "search": {
      "type": "http",
      "url": "https://mcp.airweave.ai/mcp",
      "headers": {
        "X-API-Key": "your-value",
        "X-Collection-Readable-ID": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "search": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "airweave-mcp-search"
      ],
      "env": {
        "AIRWEAVE_API_KEY": "your-value",
        "AIRWEAVE_COLLECTION": "your-value",
        "AIRWEAVE_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AIRWEAVE_API_KEY secret required env
    Your Airweave API key for authentication
  • AIRWEAVE_COLLECTION required env
    The Airweave collection to search
  • AIRWEAVE_BASE_URL env
    Airweave API base URL (defaults to https://api.airweave.ai)
  • X-API-Key secret required HTTP header
    Your Airweave API key
  • X-Collection-Readable-ID required HTTP header
    The Airweave collection readable ID to search

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account airweave-ai, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5728 servers in this category
  • Published to the registry more recently than 9% of the other 5728 servers in this category
  • Basic checks equal to or better than 100% of the other 5728 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Airweave Search safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AIRWEAVE_API_KEY, AIRWEAVE_COLLECTION, X-API-Key, X-Collection-Readable-ID

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.9.62) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Open-source context retrieval layer for AI agents and RAG systems.

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

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