Collective intelligence for browser automation agents. Site capabilities, selectors, and extraction.
Collective intelligence for browser automation agents. Site capabilities, selectors, and extraction. Exposed over MCP by the air sdk mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Collective intelligence for agents. Stop your agents from guessing how to use the web. Let them know what to do. Think; hive mind. Let's make the open agent internet.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Everything the assistant can do here goes through one of these:
browse_capabilities — 180ms median, 148ms min, 421ms p95execute_capability — 178ms median, 146ms min, 333ms p95Combined — 354ms median, 304ms min, 1010ms p95Scenario — LLM DOM Reasoning (Frontier Model)Tier — PriceFree — $0Pro — $49/moScale — $149/moPackage — InstallWhat — Howextract_url — Extract structured data from any URL — JSON-LD, RSS/Atom feeds, JSON APIs, SPAs. Meta-only results cost 0 creditsreport_outcome — Report execution results with optional browserObservations to improve collective intelligenceYou will need 2 environment variables: AIR_API_KEY, OPENAI_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. AIR SDK's toolset — browse_capabilities, execute_capability, Combined and 11 more — is a fair guide to whether it matches your workflow. It is maintained by ArcedeDev; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| browse_capabilities | 180ms median, 148ms min, 421ms p95 |
| execute_capability | 178ms median, 146ms min, 333ms p95 |
| Combined | 354ms median, 304ms min, 1010ms p95 |
| Scenario | LLM DOM Reasoning (Frontier Model) |
| Tier | Price |
| Free | $0 |
| Pro | $49/mo |
| Scale | $149/mo |
| Package | Install |
| What | How |
| extract_url | Extract structured data from any URL — JSON-LD, RSS/Atom feeds, JSON APIs, SPAs. Meta-only results cost 0 credits. |
| report_outcome | Report execution results with optional browserObservations to improve collective intelligence. |
| extract_content | Extract text and structured sections from local files or remote file URLs such as PDFs, DOCX, PPTX, XLSX, CSV, TXT, MD, HTML, and EML. |
| Benchmarks | Measured across 8 major domains, 40 cold API calls, cache disabled. LLM baseline priced at Frontier Model ($15/$75 per M tokens). AIR SDK at Scale tier ($149/mo, 250K executions). |
{
"mcpServers": {
"air-sdk": {
"command": "air-sdk",
"args": ["--mcp"],
"env": { "AIR_API_KEY": "air_xxx" }
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| AIR_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
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