Give Your AI Assistant Publishing Powers, Safely

Connecting an assistant to MCP servers turns "write me a post" into "research it, make the images, voice it and put it on the site". That is the appeal, and it is also the risk. The same connection that saves you an afternoon can publish a half-checked draft, spend a month's video budget in a loop, or follow instructions hidden in a web page it was asked to summarise.

This guide is about wiring those powers so the worst realistic day is annoying rather than public. It covers servers for media (ElevenLabs, fal, Replicate), research (Firecrawl, Brave, Exa) and publishing (the WordPress MCP adapter, Webflow, Notion, Buffer), connected to Claude or ChatGPT.

The three kinds of power

Treat each server by what it can do to you, not by what it is called.

The dangerous combination is the second and third kinds in the same session: an assistant that reads untrusted pages and can also publish. Most of this guide is about keeping those two apart, or putting a human between them.

Hosted or local servers

Many vendors now run official hosted servers, and several have retired or deprecated their older local packages. From our listings: ElevenLabs archived its local Python server in August 2026 in favour of the hosted endpoint; Notion's old local server is no longer maintained; Make marks its local npm server as legacy.

Hosted servers (a URL you add as a remote connector) are easier to set up, update themselves, and usually support OAuth. You are trusting the vendor's server with the session.

Local servers (a command your client runs, usually over stdio) keep traffic on your machine and let you pin a version. They also run with your user's privileges. The MCP specification's security guidance is blunt about this: a local server is code executing on your system, and clients should show the exact command and ask before running it. Only install packages from the vendor's own docs or repo, and read the command before approving it.

A few practical notes from the official docs:

• Replicate offers both a hosted server at mcp.replicate.com and the replicate-mcp npm package. Its stable npm tag lags the alpha track, so pin the version Replicate's docs recommend rather than whatever latest resolves to.
• Firecrawl can run locally with npx -y firecrawl-mcp and FIRECRAWL_API_KEY set, or through its hosted endpoint, which has a keyless free tier.
• Brave's server runs locally with npx -y @brave/brave-search-mcp-server --transport stdio and BRAVE_API_KEY, and needs Node.js 22 or later.
• Webflow's recommended route is its remote server with OAuth; the local server needs a Webflow API token.

OAuth or API keys

Prefer OAuth where the server offers it. It ties access to a signed-in user, shows you a consent screen, and can be revoked per client. ElevenLabs' hosted server uses OAuth with workspace-scoped access, so no key sits in your client config. Notion's hosted server applies each user's own Notion permissions through OAuth. n8n recommends OAuth for its instance-level MCP server because connected clients then appear in a list you can revoke.

API keys are all-or-nothing more often than you expect. Buffer's developer docs state that the key grants access to your entire account across all organisations and channels, with no per-organisation scoping. fal's documented Claude Code install passes your fal key as an Authorization header.

fal MCP 🔌 MCP serverFreemium

Hosted fal.ai server to search, price and run 1,000+ image, video and audio models

8.2 Visit ↗

fal says the key is sent per request and not stored on its server, but it still sits in your local config. When you must use keys:

• Create a separate key per client and per purpose, so you can revoke one without breaking everything.
• Keep keys out of any config file you commit. Comfy's MCP docs, for example, recommend environment-variable interpolation instead of hardcoding keys.
• Rotate on a schedule and immediately after anyone leaves.

Know the limits of OAuth too. n8n's docs point out that instance-level MCP access is not scoped per client: every client you connect can see every workflow you enabled for MCP. Notion's hosted server is OAuth-only with no headless auth, which rules it out for unattended jobs.

Least privilege: separate accounts and narrow tools

The single most effective control is boring: give the assistant its own, weaker identity.

• WordPress. The MCP adapter exposes WordPress "abilities" as tools, and abilities are private until a developer opts them in. What the agent can actually do depends on those abilities and on the user you authenticate as. Create a dedicated user with a role that can create drafts but cannot publish, manage plugins or delete other people's content.

WordPress MCP Adapter 🔌 MCP serverOpen source

Official WordPress plugin that exposes site abilities as MCP tools over HTTP or WP-CLI

★ 1.8k

7.6 GitHub ↗

• Webflow and Notion. Use a workspace member or token limited to the collections or pages the assistant needs. Notion MCP follows the signed-in user's permissions, so a restricted user is a restricted assistant.
• Automation bridges. Zapier MCP lets you choose which apps and actions each server exposes. Make can control which scenarios are available through an MCP token. Expose the one "create draft post" scenario, not your whole account.
• In the client. Claude lets you disable individual tools from a connector in the conversation's tools menu. Turn off delete tools, and anything you would not want called by accident.

Also split by task. A research session does not need publishing tools loaded at all.

Draft-only publishing

Make "draft" the only thing the assistant can create. Every serious publishing server supports it, but not always by default.

• Buffer: its developer docs show create_post with saveToDraft: true for drafts, while other modes include shareNow. The same docs warn that create_post can publish immediately and delete_post cannot be undone, and recommend keeping approval prompts on.

Buffer MCP 🔌 MCP serverFreemium

Buffer's hosted server to draft, schedule and analyse social posts from an assistant

8.0 Visit ↗

• WordPress: a user role without publish rights makes draft-only a server-side rule, not a prompt instruction.
• Webflow: the assistant can create and update CMS items; keep publishing the site a manual step. Also note the README's limit: static page content updates only work on secondary locales.
• Notion: it is a planning tool, not a publisher, which makes it a good landing zone. Let the assistant fill a "Ready for review" database and have a person move items on.

A rule written in your system prompt ("never publish") is a hope. A role that cannot publish is a control.

Prompt injection from researched pages

Research servers bring other people's text into the conversation. Some of that text will be written to steer an AI: hidden instructions in a page, a comment, alt text or a PDF. Anthropic's help page on custom connectors warns that malicious servers may include hidden instructions, and OpenAI describes ChatGPT's developer mode as "powerful but dangerous", naming prompt injection and model mistakes on write actions among the risks.

Practical defences:

• Do not mix reading and publishing in one unattended run. Research in one session and save sources and notes to a file or a Notion page. Publish from a separate session that has not read raw web pages.
• Keep confirmations on for write tools. ChatGPT's developer mode asks for approval on write actions by default; you can remember approval for the rest of a conversation, which is exactly when injected instructions slip through. In Claude, only choose "Allow always" for servers you trust, and disable write tools before using connectors in Research, where Anthropic notes Claude can invoke connector tools automatically without further approval.
• Treat scraped content as quotes, not instructions. Tools such as Firecrawl, Exa and Brave return clean text that reads as authoritative. It is still untrusted.

Firecrawl MCP Server 🔌 MCP serverFreemium

Official Firecrawl server to scrape, crawl, map and search the web as clean Markdown

★ 7.5k

8.6 GitHub ↗

• Check facts and rights. Scraped text raises copyright questions, and search snippets from Brave or Exa can be out of date. Keep the source URL next to every claim so an editor can check it.

Spend limits

Media servers bill per output, and agents are enthusiastic.

• Set a budget or hard cap in each provider's billing console before connecting it.
• Prefer servers that let the agent check cost first. fal's server has a get_pricing tool; ask the assistant to state the price before any video run.
• Put limits in the request: number of images, clip length, resolution.
• Watch the per-call pricing of bridges. Zapier MCP uses two tasks per tool call, so a chatty session drains a small plan fast.
• Check licences with the money. ElevenLabs' free plan does not allow commercial use, and on fal and Replicate each model keeps its own licence.

Logging

When something goes wrong, you need to know which session, which tool, which input and which account.

• Keep the assistant's transcript for any session that used write tools.
• Use each platform's own logs: WordPress revisions and the dedicated user's activity, Buffer's queue and drafts, n8n's execution list, Make's scenario logs.
• A dedicated assistant account makes these logs readable, because every change it made has its name on it.
• Log what the agent was shown as well as what it did. The source list from a research session is the evidence trail for injected instructions.

The review gate

Everything above narrows what can go wrong. The review gate is where a person decides what goes live.

A workable gate:

1. The assistant produces drafts only, in one place (WordPress drafts, Webflow CMS items marked draft, Buffer drafts, or a Notion review database).
2. Each draft carries its sources, the models used for any media, and the cost.
3. A named person checks facts, rights, brand and AI disclosure. Platform labelling rules differ; see our disclosure guide.
4. That person publishes, from their own account, not the assistant's.
5. Anything the assistant scheduled but nobody reviewed gets deleted, not sent.

If you are building the pipelines behind these drafts, the other developer guides cover pinning models and capping cost in automation.

Takeaways

• Sort servers by power: spends money, reads the world, changes what the public sees.
• Never give one unattended session both untrusted reading and publishing.
• Prefer OAuth; when using keys, one per purpose, kept out of committed files.
• Give the assistant its own low-privilege accounts and expose only the tools it needs.
• Make draft-only a permission, not a prompt instruction.
• Keep write-action confirmations on, and do not click "Allow always" on anything that can publish or delete.
• Cap spend in the provider console and in each request.
• Keep transcripts and platform logs, and let a human publish.

Read the official docs for…

• Claude: custom connectors using remote MCP: plans, tool permissions and security warnings.
• OpenAI: ChatGPT developer mode: write-action confirmations and risks.
• MCP security best practices: token passthrough, local server consent and scope minimisation.
• Buffer MCP developer guide: key scope, draft and schedule modes.
• WordPress MCP Adapter: abilities, transports and permissions.
• n8n: connect to the n8n MCP server: OAuth, tokens and per-workflow exposure.