Anchor Browser MCP

Live

OAUTH 2.0

AI

AI

Anchor Browser MCP lets agents drive cloud browser sessions: browse, click, and extract web data with per-user credentials.

  • Per-user credentials: each call uses the actual user's token, never a shared bot.
  • Encrypted per-tenant vault: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: pre-call scope check, 90-day SIEM-exportable audit chain.
Anchor Browser MCP
agent · Acme Q3
Run
Anchor Click in Anchor Browser MCP
S
anchorbrowsermcp_anchor_click
85ms
Anchor Browser MCP agent
Perform a click on an element in the cloud browser page. use `element` to provide a human-readable description of the ta.
Sources: Anchor Browser MCP
anchorbrowsermcpmcp
1 tool call
18:29
Message Claude...

Anchor Browser MCP tools for AI agents

CALL ANY TOOL
12 tools covering anchor.
anchorbrowsermcp_anchor_drag
Anchor drag
Perform a drag-and-drop operation between two elements in the cloud browser page. Provide human-readable descriptions for both the source (`startElement`) and target (`endElement`), along with their exact element references (`startRef`, `endRef`) obtained from a prior `anchor_snapshot` accessibility snapshot. Useful for reordering list items, moving cards between columns, or resizing elements.
Parameters
Name
Type
Required
Description
endElement
string
Required
Human-readable target element description used to obtain the permission to interact with the element
endRef
string
Required
Exact target element reference from the page snapshot
startElement
string
Required
Human-readable source element description used to obtain the permission to interact with the element
startRef
string
Required
Exact source element reference from the page snapshot
anchorbrowsermcp_anchor_tab_list
Anchor tab list
anchorbrowsermcp_anchor_type
Anchor type
anchorbrowsermcp_anchor_click
Anchor click
anchorbrowsermcp_anchor_close
Anchor close
anchorbrowsermcp_anchor_hover
Anchor hover
anchorbrowsermcp_anchor_resize
Anchor resize
anchorbrowsermcp_anchor_navigate
Anchor navigate
anchorbrowsermcp_anchor_snapshot
Anchor snapshot
anchorbrowsermcp_anchor_tab_new
Anchor tab new
anchorbrowsermcp_anchor_pdf_save
Anchor pdf save
anchorbrowsermcp_anchor_wait_for
Anchor wait for
anchorbrowsermcp_anchor_press_key
Anchor press key
anchorbrowsermcp_anchor_tab_close
Anchor tab close
anchorbrowsermcp_anchor_tab_select
Anchor tab select
anchorbrowsermcp_anchor_file_upload
Anchor file upload
anchorbrowsermcp_anchor_handle_dialog
Anchor handle dialog
anchorbrowsermcp_anchor_navigate_back
Anchor navigate back
anchorbrowsermcp_anchor_select_option
Anchor select option
anchorbrowsermcp_anchor_take_screenshot
Anchor take screenshot
anchorbrowsermcp_anchor_console_messages
Anchor console messages
anchorbrowsermcp_anchor_navigate_forward
Anchor navigate forward
anchorbrowsermcp_anchor_network_requests
Anchor network requests
anchorbrowsermcp_anchor_get_body_html
Anchor get body html
anchorbrowsermcp_anchor_generate_playwright_code
Anchor generate playwright code
Build your Agent
Same auth pattern across every framework.
Python · LlamaIndex
from langchain_mcp_adapters.client import MultiServerMCPClient
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="anchorbrowsermcp")

mcp = MultiServerMCPClient({
"anchorbrowsermcp": {
"url": "https://mcp.scalekit.com/anchorbrowsermcp",
"headers": {"Authorization": "Bearer " + token}
}
})
tools = await mcp.get_tools()
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "anchorbrowsermcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/anchorbrowsermcp
// Pass: Authorization: Bearer + token
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "anchorbrowsermcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/anchorbrowsermcp
// Pass: Authorization: Bearer + token
from google.adk.agents import LlmAgent
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="anchorbrowsermcp")
# Connect to MCP at https://mcp.scalekit.com/anchorbrowsermcp
# Pass: Authorization: Bearer + token
Try these prompts
Paste any prompt into your agent to get started.
Get started
Copy the prompt
Copied
Pause the automation until a specified text appears on the page, a specified text disappears from the page, or a given n?
Copy the prompt
Copied
Type text into an editable element in the cloud browser page?
Advanced
Copy the prompt
Copied
Take a screenshot of the current browser page or a specific element?
Copy the prompt
Copied
Switch the active browser tab to the tab at the given zero-based index?
SEE HOW AUTH WORKS
User authorises once. Every agent call after uses their token with scope enforcement.
1
Authorize
Your user connects
Anchor Browser MCP
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
Anchor Browser MCP
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
Anchor Browser MCP
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
Anchor Browser MCP
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
See the same per-user auth pattern across other connectors.
GTM and RevOps Teams
Competitive intelligence briefing agent
Scans Gong calls for competitor mentions, matches each one to its Notion battlecard, and DMs every affected rep a single Slack digest per cycle. Every call runs as the PMM who owns the briefing, never a shared bot.
GTM and RevOps Teams
Outbound prospecting agent
Searches Apollo for prospects matching your ICP, scores and ranks them, drafts personalized outreach in Gmail, and logs every send to Google Sheets. Mail goes out as the rep, not from a shared inbox.
GTM and RevOps Teams
Deal intelligence agent
Pulls recent Gong calls, scores deal risk with an LLM, cross-references the record in Attio, and DMs each owner their at-risk deals in Slack. Every read is scoped to that rep's own access.
Support and Ops Teams
Support triage agent
Fetches new Zendesk tickets, classifies them by type and urgency, searches the Notion knowledge base for an answer, and routes what it cannot resolve to Slack. Every call runs on the support agent's own delegated OAuth.
Test other agents
See the same per-user auth pattern across other connectors.
SUPPORT
Support triage agent
Classify new Zendesk tickets, search the Notion knowledge base for an answer, and route what it cannot resolve to Slack.
GTM
Competitive intelligence briefing agent
Scan Gong calls for competitor mentions, match each one to its Notion battlecard, and DM every affected rep a single Slack digest.
SALES
Outbound prospecting agent
Search Apollo for ICP matches, rank them, draft personalised Gmail outreach, and log every send to Google Sheets.
SALES
Deal intelligence agent
Score Gong call risk with an LLM, cross-reference the Attio record, and DM each owner their at-risk deals in Slack.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
01.
Shared tokens break per-user analytics
A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
One connector today. Ten tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions

Does the agent access Anchor Browser as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the Anchor Browser OAuth token stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in Anchor Browser?
Yes. Pass a tool name filter to listScopedTools so the AI agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Anchor Browser.

What happens when a user revokes Anchor Browser access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Are browser sessions isolated per user?
Yes. Each cloud browser session, click, and extraction runs under the authorizing user's Anchor Browser account. Sessions, cookies, and captured data never cross user boundaries.

Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""anchorbrowsermcp"": {
""url"": ""https://mcp.scalekit.com/anchorbrowsermcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.anchorbrowsermcp]
url = ""https://mcp.scalekit.com/anchorbrowsermcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""anchorbrowsermcp"": {
""url"": ""https://mcp.scalekit.com/anchorbrowsermcp"",
""type"": ""http""
}
}
}