mcp-webslinger
Officialwebslinger-mcp
webSlinger's MCP server exposes a user's own previously recorded and validated
browser automations - "scripts" - as MCP tools, so an agent can call
list_scripts and run_script to reliably drive a real website instead of
improvising selectors live in the moment. Each script was generated once from
a human demonstration of the task and runs deterministically on every call,
returning structured JSON output. When no script yet covers a needed task,
the agent calls request_demonstration to ask the user to record one.
About
Agents that browse the live web typically re-derive selectors on every single run, which is slow, costly in tokens, and breaks the moment a page's markup drifts - selector drift is one of the most common reliability failures in agentic web browsing. webSlinger takes a different approach: a human demonstrates a task once in their own browser, and webSlinger records that demonstration as a session map and generates a reusable automation script from it. From that point on, the MCP server lets an agent discover and run those already-generated scripts instead of browsing ad hoc. Selectors are made robust by generating them from context-related features of the page - not raw positional selectors - and by generating multiple candidate selectors per element that are cross-validated against the live page and reconciled through a voting mechanism at run time, so a script keeps working even as a page's markup shifts around it. Execution itself is deterministic: no AI drives the browser during a run; the one run-time AI fallback is a self-healing re-detection step used only when a selector fails outright.
Two things about setup are worth stating plainly rather than leaving
implicit: this server drives the user's own real, logged-in Chrome profile
through a Windows native messaging host (taskSpinner) running on their
machine, and it requires an active webSlinger account and API key. It is not
a generic, zero-setup public server that anyone can call against an
arbitrary site - it is a personal automation layer for the account holder's
own previously demonstrated tasks. When no script yet exists for a needed
task, the agent can request one: request_demonstration opens a pre-filled
briefing page in the user's Chrome so they can record it in a few minutes.
Get the full webSlinger browser extension at webslinger.ai or the Chrome Web Store - it is what records session maps and generates the scripts this server runs.
Quickstart
This is a structurally accurate, illustrative example of the tool-call
sequence - it does not depict any real user's data. The script name
checkVendorPortalStatus is a generic stand-in. For real installation and
MCP client configuration steps, see Installation and MCP server
configuration (mcp_config.json) below.
Discover available scripts:
list_scripts()Illustrative response shape:
{
"success": true,
"script_source": "user",
"scripts": [
{
"filename": "checkVendorPortalStatus.js",
"name": "Check Vendor Portal Status",
"description": "Logs into the vendor portal and reports the status of open orders.",
"inputData": [{"name": "vendorId", "type": "string", "example": "12345"}],
"outputData": [{"name": "orders", "type": "array"}],
"initialWebsite": "https://vendor-portal.example.com",
"created_date": "2026-07-10"
}
]
}Run the matching script:
run_script(
script_name="checkVendorPortalStatus.js",
input_data={"vendorId": "12345"}
)This launches the user's Chrome profile, executes the script exactly as if it had been scheduled for that moment, and blocks until the run reaches a terminal state.
Illustrative response shape on success:
{
"success": true,
"status": "completed",
"run_id": "20260710_141530_a3f9",
"output_data": {
"orders": [
{"orderId": "PO-4471", "status": "Shipped", "eta": "2026-07-22"},
{"orderId": "PO-4472", "status": "Processing", "eta": null}
]
},
"summary": "{ ... execution report summary: actions run, timing, extraction counts ... }",
"start_time": "2026-07-10T14:15:31Z",
"end_time": "2026-07-10T14:16:48Z"
}run_script always returns a JSON object with a success flag; on an
expected failure it returns success: false with a status value the agent
can branch on (for example not_configured, not_allowed,
script_not_found, busy, throttled, timeout, or failed) rather than
throwing.
No matching script yet? Ask the user to record one instead of improvising the site interaction:
request_demonstration(
target_url="https://vendor-portal.example.com/orders",
task_description="Log in and list the status of all open purchase orders.",
goals=[
"array: orders(orderId, status, eta)",
"input: vendorId - the vendor account to check"
]
)This opens a pre-filled briefing page in the user's own Chrome; the tool
returns immediately, and the agent re-checks list_scripts after the user
records and the script is generated.
The full tool list is list_scripts, describe_script, run_script,
start_run, get_run_status, get_run_report, list_runs, cancel_run,
request_demonstration, plus schedule management (create_schedule,
list_schedules, delete_schedule). Each tool's docstring in
mcp_server.py documents its exact parameters and return shape.
What's in this repository
mcp_server.py- the MCP server (stdio JSON-RPC), exposing the tools listed above.mcp_config.example.json- a template for your ownmcp_config.json(see below).
This repository is the standalone MCP server component only. It depends on
taskSpinner already being installed and registered on the machine by the
main webSlinger browser extension - the extension's installer sets up the
Windows native messaging manifest, registry entries, and the local
profileRegistry.json this server reads to know which Chrome profile and
extension copy to launch. Install the webSlinger extension from
webslinger.ai or the Chrome Web Store first; that
installer places a full taskSpinner checkout under %LOCALAPPDATA%\webSlinger\taskSpinner and performs
the one-time OS-level registration this MCP server relies on.
Installation
Install the webSlinger browser extension and run its installer at least once with Chrome open, so
profileRegistry.jsonexists and the native messaging host is registered. Launch one automation from your webSlinger account and click Enable to grant automation permissions.Clone this repository (or download it) anywhere on your machine.
Install the Python dependencies:
mcp,psutil, andpytz.Copy
mcp_config.example.jsontomcp_config.jsonin the same directory and fill in your API key (see below) - or set theWEBSLINGER_API_KEYenvironment variable instead.
Note that regardless of where you clone this repo, the MCP server reads its
config from and writes its logs/run records under
~/webSlinger/taskSpinner/ (your home directory) rather than the repo
checkout directory - this keeps runtime state stable even if you move or
re-clone the repo. Copy mcp_config.example.json there as
~/webSlinger/taskSpinner/mcp_config.json.
MCP server configuration (mcp_config.json)
The MCP server reads ~/webSlinger/taskSpinner/mcp_config.json. Copy
mcp_config.example.json and fill in your key. Minimal config:
{
"api_key": "wsk_...",
"environment": "prod"
}All fields:
Field | Required | Values / default | Purpose |
| yes* | your webSlinger API key | The credential shown on your webslinger.ai account page - the same one pasted into the extension. Its SHA-256 hash selects the Chrome profile and extension to launch (see below) and scopes schedule directories. |
| no |
| Selects the server endpoint for script listing and metadata. Must match the environment your extension is configured for, or the key-hash guard will refuse runs. |
| no | Chrome extension id | Manual override of which extension copy to launch. Normally omitted - the extension registers its own identity (see below). |
| no | positive int, default 50 | Number of run record directories retained under |
| no |
| Set |
*Alternative: set the WEBSLINGER_API_KEY environment variable, which
overrides the file's api_key. Prefer the environment variable when the
config file could be committed or shared - the JSON stores the key in
plaintext.
The file must be strict JSON: no comments, no trailing commas. A malformed
file makes the MCP server exit at startup (Claude Code reports reconnect
error -32000); validate with python -m json.tool mcp_config.json.
With no API key configured the server still starts; every tool returns
status not_configured with setup instructions.
Identity: which Chrome profile and extension runs
profileRegistry.json (written by the webSlinger extension, next to your
local taskSpinner installation) maps apiKeyHash -> {profileName, extensionId}. The extension writes this row itself - at service worker
startup and on every schedule operation - so the registered extensionId is
by construction the copy that holds that API key (store, unpacked, or
build).
Launch resolution precedence:
extension_idinmcp_config.json(manual override)the registered
extensionIdfor the configured key's hashlegacy by-name scan (only for registry rows written before extensionId registration existed; reload the extension to upgrade the row)
Every launch URL carries the requesting key's hash. The extension compares
it against its own stored key and refuses with API_KEY_MISMATCH on
disagreement, so account or environment switches fail loudly instead of
executing under the wrong account.
Tier limits and usage recording
Execution is gated and recorded per API key on every launch path:
The MCP server pre-flights an execution-check endpoint and returns status
not_allowed(with the server's message) before launching Chrome when your tier has no executions or the monthly limit is exhausted.The extension performs the same check itself before every run and fails closed on any error - this is the real enforcement point; the MCP pre-flight is a fast-fail courtesy.
After each run the extension reports usage, which increments your account's execution counter.
Registering the MCP server
Claude Code:
claude mcp add webslinger --scope user -- python /path/to/webslinger-mcp/mcp_server.pyClaude Agent SDK - entry in ClaudeAgentOptions.mcp_servers:
"webslinger": {
"command": "python",
"args": ["/path/to/webslinger-mcp/mcp_server.py"],
"env": {"WEBSLINGER_API_KEY": "wsk_..."}
}Machine requirements: this repo checkout, Python with mcp, psutil, and
pytz installed, Chrome with the webSlinger extension loaded at least once
so profileRegistry.json exists, and automation permissions granted in the
extension (launch one automation from webslinger.ai and click Enable).
Troubleshooting
Symptom | Cause / fix |
| The active extension copy is not in the native messaging manifest's |
MCP reconnect error | The server crashed at startup - almost always a malformed |
Status | No API key in |
Status | The configured key's hash has no row in |
| The extension's stored key differs from the MCP config's key - account or dev/prod environment switch. Align the two. |
Chrome opens a blocked-page tab | The launched extension id is disabled or wrong. Delete any stale |
Status | Tier gate or monthly execution limit; the message passes through the server's explanation. |
Logs: ~/webSlinger/taskSpinner/logs/taskSpinner_YYYYMMDD.log. Run records:
~/webSlinger/taskSpinner/outputData/mcpRuns/<run_id>/.
License
MIT - see LICENSE.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/webSlingerAI/webslinger-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server