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Bing Webmaster AI CLI MCP

by stufentlyversion 0.1.4i★ –iRuns on your computer
Registry nameio.github.stufently/bing-webmaster-ai-cli-mcp

Install

Overview

Description from the maker (original English)

Read Bing Webmaster data and change it, directly or through a reviewed plan.

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: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: BING_WM_API_KEY

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: BING_WM_API_KEY, BING_WM_ALLOW_WRITES

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

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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

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

{
  "mcpServers": {
    "bing-webmaster-ai-cli": {
      "command": "uvx",
      "args": [
        "bing-webmaster-ai-cli-mcp"
      ],
      "env": {
        "BING_WM_API_KEY": "your-value",
        "BING_WM_ALLOW_WRITES": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add bing-webmaster-ai-cli --env BING_WM_API_KEY=your-value --env BING_WM_ALLOW_WRITES=your-value -- uvx bing-webmaster-ai-cli-mcp

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": {
    "bing-webmaster-ai-cli": {
      "command": "uvx",
      "args": [
        "bing-webmaster-ai-cli-mcp"
      ],
      "env": {
        "BING_WM_API_KEY": "your-value",
        "BING_WM_ALLOW_WRITES": "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": {
    "bing-webmaster-ai-cli": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "bing-webmaster-ai-cli-mcp"
      ],
      "env": {
        "BING_WM_API_KEY": "your-value",
        "BING_WM_ALLOW_WRITES": "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 one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Values you fill in

  • BING_WM_API_KEY secret required env
    API key from Bing Webmaster Tools Settings > API Access
  • BING_WM_ALLOW_WRITES env
    Set to true to enable one-step writes; unset or false keeps plan-and-apply

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account stufently, 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 applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32715 servers in this category
  • Published to the registry more recently than 62% of the other 32715 servers in this category
  • Basic checks equal to or better than 100% of the other 32715 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 Bing Webmaster AI CLI MCP 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: BING_WM_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 24 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, First Sale Scout

Alternatives

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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.

bing-webmaster-ai-cli-mcp

bing-webmaster-ai-cli-mcp gives an AI agent read access to what Bing knows about your sites — traffic, indexing, crawl issues, inbound links, keywords — and a write path you choose: reviewed plan-and-apply by default, or direct writes when you opt in.

It ships a Python 3.12+ CLI and MCP server for the JSON Bing Webmaster Tools API, plus protocol-correct IndexNow submission. SOAP and POX are deliberately absent.

Choosing a write path

Read tools always execute immediately. For everything that changes Bing state, one setting picks between two paths:

export BING_WM_ALLOW_WRITES=false   # default: writes are planned and applied by a human

export BING_WM_ALLOW_WRITES=true # opt in: writes go straight through

Read-only toward Bing is the default. Without BING_WM_ALLOW_WRITES=true the server lists no tool that changes Bing, and the CLI refuses one-step writes. Here is the reason. An agent using this server also reads pages, anchor text, crawl issues and search queries written by strangers. A confirmation an agent can send is a confirmation prompt injection can send, so as long as the agent can write, a poisoned string in someone else's anchor text can reach your Bing account. With the default, nothing an agent does changes Bing until you have read the plan and run bing-wm plan apply yourself. Opt in only for an agent you trust with your Bing account.

Direct writes (BING_WM_ALLOW_WRITES=true)

The MCP server advertises one-step bing_ tools, and the CLI accepts:

$ bing-wm submit-url example.com https://example.com/new-page --json

{"applied": true, "plan_id": "…", "operation": "submit_url", "result": null}

A direct write is not idempotent: retrying one records a new plan and sends the change again. If a response is lost, read audit.jsonl or bing-wm plan list before repeating the call.

Reviewed writes (default, BING_WM_ALLOW_WRITES=false)

The server advertises bing_plan_ instead. Those tools send nothing:

$ bing-wm plan submit-url example.com https://example.com/new-page --json

{ "plan_id": "…", "summary": "submit url https://example.com/new-page for https://example.com", "apply_with": "bing-wm plan apply …" } $ bing-wm plan apply PLAN_ID Apply this plan? [y/N]: y

No MCP tool takes a plan ID, in either mode: a plan recorded for review is applied or rejected only at the CLI, by you. A direct write applies the plan it creates in the same call and never touches one somebody else recorded. The plan path stays available while direct writes are on, so an agent can still propose a change for review.

What both paths share

A direct write is the same code with the human step removed: it records the same durable plan and goes through the same apply boundary. A readable plan record, an append-only audit trail, one-shot application, expiry, Bing's own submission quota, a site denylist (BING_WM_DENIED_SITES) and restart-persistent local limits (BING_WM_MAX_WRITES_PER_DAY) apply to both.

If the applying process is killed and leaves a lock behind, the command bing-wm plan unlock PLAN_ID verifies that the recorded PID is gone before recovering it. An unfinished plan becomes unknown_outcome and cannot be applied again; the recovery is audited.

Install

BING_WM_ALLOW_WRITES=false uvx bing-webmaster-ai-cli-mcp

That one command starts the stdio MCP server. Every client block below runs the same uvx command. Create an API key in Bing Webmaster Tools under Settings → API Access and pass it as BING_WM_API_KEY. Writes are planned for review unless you also set BING_WM_ALLOW_WRITES=true — see Choosing a write path.

The package is on PyPI as bing-webmaster-ai-cli-mcp. uvx caches what it installed and may keep running that version; uvx bing-webmaster-ai-cli-mcp@latest checks PyPI again, and uvx bing-webmaster-ai-cli-mcp==0.1.4 pins one. This README follows main, so a change listed under *Unreleased* in the changelog is not in the PyPI release yet. Since 0.1.3, BING_WM_ALLOW_WRITES=false is the default and the command above and the client blocks below would behave the same without it. They still spell it out: 0.1.2 and earlier default to true, so a uvx cache still holding one of them would go back to direct writes if the setting were left out. To run main itself, use uvx --from "git+https://github.com/stufently/bing-webmaster-ai-cli-mcp.git" bing-webmaster-ai-cli-mcp.

pip (Python 3.12+) installs the same package and puts bing-wm, bing-webmaster-ai-cli-mcp and bing-webmaster-ai-cli-mcp-http on PATH — in a virtualenv, or with pipx install bing-webmaster-ai-cli-mcp:

python -m pip install bing-webmaster-ai-cli-mcp

export BING_WM_API_KEY='…' bing-wm sites list

The supported matrix is Python 3.12, 3.13, and 3.14. Development and images use the exact versions in constraints.txt; published dependencies remain compatible floors. Never put a real key in the repository. See configuration for all settings.

Example prompts

  • Why did my site lose clicks last week?
  • Which pages is Bing failing to crawl, and why?
  • Is this URL indexed, and when did Bing last fetch it?
  • Submit this new page to Bing, but let me review the change first.

Verified clients and platforms

Only what has actually been run is listed as verified. Everything else in Add the MCP server to your AI client is a documented config that nobody has checked end to end.

Client / runtimeOSHow it runsStatusEvidence
Claude Code 2.1Ubuntu 26.04 LTS, x86_64Docker image built locally from this repo, stdio, direct writes opted inVerifiedDaily use on the maintainer's host, reads and writes in the audit trail
bing-wm CLIUbuntu 26.04 LTS, x86_64Same Docker imageVerifiedMaintainer's host
Codex CLI 0.162Ubuntu 26.04 LTS, x86_64Same Docker image, stdioConfigured, not checked separatelyMaintainer's host config
Python 3.12, 3.13, 3.14Ubuntu (ubuntu-latest)Lint, tests, stdio MCP smoke testVerified in CIci.yml
Docker imageUbuntu (ubuntu-latest)Image builds and does not run as rootVerified in CIci.yml, job container
uvx bing-webmaster-ai-cli-mcp (PyPI 0.1.2)Linux x86_64Install path from Install, uv 0.13 in DockerMCP initialize answered, no client attachedMaintainer's host, 2026-10-12
Claude Desktop (.mcpb)macOS, WindowsDesktop ExtensionNot verifiedBundle is built in CI, never installed in a real Desktop
Cursor, Windsurf, ZedanyConfigs belowNot verifiedDocumented only
macOS, Windows—Any clientNot verifiedNo CI runner on these systems

Add the MCP server to your AI client

Every JSON block below runs the same uvx command as Install. BING_WM_ALLOW_WRITES is false here (the default, spelled out), so writes are planned and you apply them. Set it to true for direct writes — see Choosing a write path. Keep the key in a user-level config, not in a project file you commit. The server exposes 34 Bing read tools, one local read-only tool (bing_indexnow_key_plan), plan inspection, and one write tool per supported operation — bing_plan_ tools by default, or direct bing_ tools when BING_WM_ALLOW_WRITES=true. It exposes no plan application or rejection tool. Restart the server after changing the setting so the client refreshes its tool list.

Claude Code

Project file: .mcp.json in the project root.

{

"mcpServers": { "bing-webmaster": { "command": "uvx", "args": [ "bing-webmaster-ai-cli-mcp" ], "env": { "BING_WM_API_KEY": "your-api-key", "BING_WM_ALLOW_WRITES": "false" } } } }

Or from the terminal:

claude mcp add bing-webmaster --scope user \

--env BING_WM_API_KEY=your-api-key --env BING_WM_ALLOW_WRITES=false \ -- uvx bing-webmaster-ai-cli-mcp

Claude Desktop

File: claude_desktop_config.json — macOS ~/Library/Application Support/Claude/claude_desktop_config.json, Windows %APPDATA%\Claude\claude_desktop_config.json, Linux ~/.config/Claude/claude_desktop_config.json.

{

"mcpServers": { "bing-webmaster": { "command": "uvx", "args": [ "bing-webmaster-ai-cli-mcp" ], "env": { "BING_WM_API_KEY": "your-api-key", "BING_WM_ALLOW_WRITES": "false" } } } }

One click, without editing JSON: download the .mcpb from https://github.com/stufently/bing-webmaster-ai-cli-mcp/releases/latest and open it. Claude Desktop installs the extension and asks for the API key. Direct writes stay off unless you turn Allow direct writes on. While they are off the extension only records plans. Applying one needs the bing-wm CLI, which the extension does not put on your PATH: install it with pip as in Install, export the same key as BING_WM_API_KEY in that shell, then run bing-wm plan apply.

The release includes checksums.txt with the SHA256 of every .mcpb. Download that file into the same directory as the bundle and check it before opening the extension:

sha256sum -c --ignore-missing checksums.txt   # run next to the downloaded .mcpb

On macOS, filter the bundle's line and check it with shasum -a 256 -c -.

Releases from the next tag on also carry a GitHub build provenance attestation for each .mcpb, signed in the release workflow. Check that a bundle was built by this repository's workflow and not swapped afterwards (needs the GitHub CLI):

gh attestation verify <bundle>.mcpb --repo stufently/bing-webmaster-ai-cli-mcp
Cursor

After installing, replace the placeholder values in ~/.cursor/mcp.json. Or add the block below by hand.

File: ~/.cursor/mcp.json (every project) or .cursor/mcp.json (this project).

{

"mcpServers": { "bing-webmaster": { "command": "uvx", "args": [ "bing-webmaster-ai-cli-mcp" ], "env": { "BING_WM_API_KEY": "your-api-key", "BING_WM_ALLOW_WRITES": "false" } } } }

Windsurf

File: mcp_config.json — macOS and Linux ~/.config/devin/mcp_config.json (or $XDG_CONFIG_HOME/devin/mcp_config.json), Windows %APPDATA%\devin\mcp_config.json. Older builds read ~/.codeium/windsurf/mcp_config.json.

{

"mcpServers": { "bing-webmaster": { "command": "uvx", "args": [ "bing-webmaster-ai-cli-mcp" ], "env": { "BING_WM_API_KEY": "your-api-key", "BING_WM_ALLOW_WRITES": "false" } } } }

Zed

File: settings.json — Linux and macOS ~/.config/zed/settings.json.

{

"context_servers": { "bing-webmaster": { "command": "uvx", "args": [ "bing-webmaster-ai-cli-mcp" ], "env": { "BING_WM_API_KEY": "your-api-key", "BING_WM_ALLOW_WRITES": "false" } } } }

An optional Streamable HTTP entry point is also available once the package is on PATH (the pip install above; uvx does not install a lasting command):

export BING_WM_HTTP_BEARER_TOKEN='a-random-token-of-at-least-32-characters'

bing-webmaster-ai-cli-mcp-http

It refuses non-loopback bind add

Only the beginning is shown; read the rest in the repo

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