How to let your AI client work with the content projects your team already runs in Clipflow
Connect Claude or another AI client to your Clipflow workspace with the Model Context Protocol server.
Updated
Give an AI assistant the context it needs without copying project details into every prompt
Clipflow runs a Model Context Protocol server, so an AI client like Claude can read your workspace directly. Ask what is due this week, or which posts failed to publish, and the answer comes from your actual projects rather than something pasted into a chat.
Endpoint: https://api.clipflow.co/mcp
This is separate from the AI Agents inside Clipflow. Agents live in your workspace and comment in it. The MCP server brings your workspace into an AI client you already use.
Before you start
- An AI client that supports remote MCP servers over HTTP.
- A Clipflow account with access to the organizations you want to read.
Step 1: Add the server to your client
Add https://api.clipflow.co/mcp as a remote MCP server in your client’s connector settings.
The server publishes its protected-resource metadata for discovery, so most clients handle registration and authorization themselves without any manual configuration:
https://api.clipflow.co/.well-known/oauth-protected-resource/mcp
Step 2: Authorize
Your client opens Clipflow, you sign in, and a consent screen lists the scopes being requested, grouped into Analytics, Content, Projects & Media, and Workspace. Approve it and the client holds a token scoped to what you agreed to.
The connection sees what you see. It cannot reach organizations you are not a member of, and it cannot do anything your own permissions do not allow.
Step 3: Use it
Once connected, these tools are available:
| Tool | What it returns |
|---|---|
whoami |
The signed-in user |
list_organizations |
Organizations you belong to |
list_projects |
Projects, filterable by organization, assignee, channel, status, category, priority, and title |
get_project |
One project |
project_overview |
A project with its tasks, media, and posts |
list_media_files |
Media files, filterable |
get_media_file |
One media file |
list_posts |
Posts, filterable |
get_post |
One post |
channel_product_lookup |
Channels and the post types they support |
analytics_overview |
Channel and post performance |
Every tool reads. Nothing in this set changes your workspace, so connecting an AI client cannot alter a project, publish a post, or delete a file.
Questions that work well:
- “Which projects are overdue in the agency organization?”
- “Summarise what my team shipped last week.”
- “Which posts failed to publish this month, and on which channels?”
- “What is assigned to Sam right now?”
Tips and best practices
- Name the organization when you belong to several. It saves the client a lookup and gets you a straighter answer.
- Approve only the scopes you need. Analytics-only is enough for reporting questions.
- Treat it as read-only. For writes, use the API.
- Revoke connections you have stopped using from Organization settings → API.
Frequently asked questions
Can an AI client change my projects through MCP?
No. Every MCP tool is read-only.
Does it see all of my organizations?
It sees the ones you belong to, and only within the scopes you approved.
Which AI clients work?
Any client supporting remote MCP servers over HTTP. Clients vary in how they discover metadata, and Clipflow publishes both common forms so either works.
How do I disconnect?
Remove the connection in your AI client, and revoke it in Organization settings → API.
Why does a `GET` to the MCP endpoint fail?
MCP requests are POST. GET and DELETE answer with 405 by design.
Is this the same as connecting an agent?
No. Agents run inside Clipflow and can create posts. MCP gives an outside AI client read access. See AI Agents.
Related articles
- API Overview: OAuth, scopes, and REST endpoints
- Webhooks: push events to your own systems
- AI Agents: AI that works inside the workspace
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