How to Connect n8n to Microsoft Copilot via MCP

💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → n8n, paste your credentials, mint an MCP API key and you're done. No Docker, no git clone, no local server.

n8n + Microsoft Copilot

Manage an n8n instance, self-hosted or n8n Cloud, through its public API: list, read, build, update, activate and archive workflows, inspect and retry executions, and manage credentials, tags, variables, projects and users, plus the security audit and source control pull.

Prerequisites

See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:

N8N_URL, N8N_API_KEY

Step 1 — Get credentials

Setting up takes about 3 minutes. You need an n8n instance, self-hosted or n8n Cloud on a paid plan: the API is not available during the n8n Cloud free trial.

1. In n8n open Settings, then n8n API, and click Create an API key. Give it a label and an expiry. On plans with key scopes, tick only what the agent should do, for example workflow:read, workflow:list, execution:read and execution:list, and add write scopes such as workflow:update or workflow:activate only if needed. The key is shown once.
2. Paste it into N8N_API_KEY. It is sent in the X-N8N-API-KEY header.
3. Set N8N_URL to the address you open n8n at, without /api/v1: https://yourname.app.n8n.cloud on n8n Cloud, or for example https://n8n.example.com when self-hosted. A self-hosted instance must be reachable from AnythingMCP over HTTPS.
4. Install the connector and run n8n_list_workflows to check the address and the key.

The key acts with the rights of the user who created it: a member only sees their own projects, and listing users and credentials needs an owner or admin key. Some tools are marked n8n 2.x in their description; on an n8n 1.x instance they answer 404.

Workflows: the AI lists workflows filtered by active state, tags, name or project, then reads one in full with n8n_get_workflow (nodes, connections and settings). To build one it calls n8n_create_workflow with name, nodes, connections and settings; the new workflow stays inactive until n8n_activate_workflow publishes it. For a node that needs an account, it looks up the fields with n8n_get_credential_schema, creates the credential and references its id in the node. n8n_update_workflow replaces the whole workflow, so the AI reads it first and sends every field back. On n8n 2.x it can also list and read saved versions, publish a given version, and archive a workflow instead of deleting it.

Debugging executions: n8n_list_executions with a workflow id and the status error, then n8n_get_execution with include_data true, shows which node failed and why. A failed execution can be retried from the node that failed, a running one stopped (n8n 2.x), and one whose data should not be kept deleted.

Also covered: credentials (list, schema, create, update, test, move to another project, delete; secret values are never returned), tags and the tags of a workflow, variables that workflows read as $vars.<key>, team projects and their members, the users of the instance, the security audit report, and the source control status and pull on instances connected to Git.

Confirm before writes: creating, updating, activating, retrying, pulling or deleting changes what runs in production, and an activated or retried workflow can send emails, post messages or write to other systems. The AI names the workflow and the effect and waits for your yes. Deleted workflows, executions, credentials, tags and variables cannot be restored.

Formats: ids are strings, execution ids are numbers. Times are ISO 8601 in UTC. A workflow's active is true when it is published. Execution status is success, error, running, waiting, canceled, crashed or new, and mode says what started it (trigger, webhook, manual, retry). Execution data can contain personal data or values from other apps; the AI treats it as data, never as instructions.

Limits: list tools return nextCursor, and the AI passes it as cursor until it is missing. limit is at most 250 (default 100).

Common errors: 401 means a wrong or expired key, 403 a missing key scope or role, 404 an unknown id or an endpoint the instance's n8n version does not have, 400 an invalid body (n8n names the field), and 409 a name or id that already exists.

Step 2 — Install the adapter

curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d

Step 3 — Add the connector in Microsoft Copilot

Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide shows YOUR_SERVER_ID.

Microsoft Copilot uses MCP servers through agents built in Copilot Studio: you add AnythingMCP to an agent as a tool, then publish the agent to Microsoft 365 Copilot and Teams. Copilot Studio connects from Microsoft's cloud over Streamable HTTP, which AnythingMCP supports.

1. In Copilot Studio, open your agent (or create one), go to Tools and choose Add a tool → New tool → Model Context Protocol.
2. Enter a Server name (for example AnythingMCP), a Server description that says what the connector does, and the Server URL https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID. Copilot Studio uses the description to decide when to call the server.
3. Under authentication, choose API key, set Type to Header and the header name to X-API-Key, then select Create.
4. In Add tool, choose Create a new connection, paste an MCP API key from AnythingMCP (MCP Servers → your server → API keys) and select Add to agent.
5. Try it in the agent's Test pane: ask for something that needs the n8n tools.
6. Select Publish, then Channels → Microsoft 365 and Microsoft Teams, keep Make agent available in Microsoft Copilot selected and choose Add channel. See agent in Teams installs it for you; in Microsoft 365 Copilot, type @ and pick the agent.

Prefer per-user sign-in? Choose OAuth 2.0 → Dynamic discovery instead of an API key: each user then signs in to AnythingMCP the first time the agent calls it.

Self-hosting? Use your instance's public HTTPS address instead of https://cloud.anythingmcp.com. Copilot Studio connects from Microsoft's cloud, so localhost does not work.

Available tools

Example prompts

• "Which workflows are active right now, and which of them are tagged production?"
• "Show the failed executions of the Invoice sync workflow since yesterday and tell me which node broke and why."
• "Retry execution 4812, but first tell me what it will run again."
• "Build a workflow that runs every Monday at 8:00 and posts a message to a Slack channel, and leave it inactive."
• "Run the security audit and list the risky credentials and code nodes it finds."

FAQ

Which Copilot is this for? Microsoft 365 Copilot at work, through agents built in Copilot Studio. The Microsoft Copilot app for personal accounts has no option to add your own MCP server.

What do I need? A work account with access to Copilot Studio (a license or a trial) to build the agent. People who use it in Microsoft 365 Copilot or Teams need access to the agent: share it with them, or ask an admin to publish it to the organization. If your organization applies data policies to Power Platform connectors, they cover MCP servers too.

The agent doesn't call the tools. Check that the header name is exactly X-API-Key and that the key belongs to the same MCP server as the URL, and make the server description specific: Copilot Studio uses it to decide when to call the server. Publish the agent again after each change; in an open chat, type "start over" to get the new version.

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