Connect an MCP-compatible AI client to your Everflow network in under 5 minutes.
MCP must be enabled for your network before any connection attempt will succeed. Email support@everflow.io to request access. See the Overview for full availability details.
EU Cluster Support: If your Everflow account is hosted in the EU, simply replace https://mcp.eflow.team with https://mcp-eu.eflow.team in any of the configuration examples below.
Each setup takes under 5 minutes. Depending on where your account is hosted, choose the appropriate server URL:
US-Hosted Accounts:https://mcp.eflow.team
EU-Hosted Accounts:https://mcp-eu.eflow.team
All clients authenticate with the X-Eflow-API-Key header — the config format varies by client, and some clients like Claude.ai web don’t support API-key headers at all.If you’re unsure where to start, use Claude Desktop — it has the most straightforward setup and the best out-of-the-box MCP experience.
Claude Desktop
Claude Code
Claude.ai
Cursor
Gemini CLI
VS Code
1
Open your Claude Desktop config file
macOS
open ~/Library/Application\ Support/Claude/claude_desktop_config.json
Claude Desktop currently requires the mcp-remote stdio bridge to connect to remote MCP servers. The npx -y prefix auto-installs the package on first launch — no separate install step is needed. For the latest on native remote MCP support in Claude Desktop, see Anthropic’s changelog.
The --header value uses Name:Value with no space after the colon. X-Eflow-API-Key: your-network-api-key (with a space) will fail.
3
Save the file and restart Claude Desktop
Quit and reopen the app so it picks up the new MCP server.
4
Test the connection
Open a new conversation. You should see an Everflow tools indicator in the input area. Ask:
“What is my network’s name and default currency?”
Claude Code is Anthropic’s CLI agent, with native support for remote MCP servers over HTTP.
Run /mcp inside Claude Code to confirm the everflow server is connected, then ask:
“Call get_account_info and tell me my network name and default currency.”
Claude.ai web doesn’t support API-key headers. Its connector UI is OAuth-only, and Everflow MCP authenticates with the X-Eflow-API-Key header — there’s no field for it. Use Claude Desktop, Claude Code, or Cursor instead.
Anthropic has marked header support for the Claude.ai connector UI as not planned. Until that changes, connect through one of the other clients in the tabs above.
1
Open Cursor's MCP settings
Go to Cursor Settings → MCP, or press Cmd+Shift+P → MCP: Edit Configuration.
This config holds your network API key in plaintext. If it lives in a workspace .cursor/mcp.json, add it to .gitignore so the key never lands in a committed repo.
3
Save and reload the window
The Everflow tools will appear in the Cursor Agent chat.
Gemini CLI is Google’s open-source terminal agent with native MCP support.
“Call get_account_info and tell me my network name and default currency.”
VS Code requires an active GitHub Copilot Chat subscription and the Copilot Chat extension. The config format also differs from the other clients — note the servers key instead of mcpServers.
1
Install the GitHub Copilot Chat extension
Install it from the VS Code marketplace if you don’t have it already.
2
Open your MCP configuration
Open VS Code settings (Cmd+,) and search for MCP Servers, or edit .vscode/mcp.json directly in your workspace:
If a client isn’t connecting or tools aren’t appearing, the MCP Inspector lets you test the server directly — independent of any AI client config.
1
Run the inspector
No install required:
npx @modelcontextprotocol/inspector
2
Configure the connection in the inspector UI
Field
Value
Transport
Streamable HTTP
URL
https://mcp.eflow.team
Header name
X-Eflow-API-Key
Header value
your-network-api-key
3
Connect and call a test tool
Click Connect, then call get_account_info from the Tools tab. A valid response confirms the server is reachable and your key is accepted. If this works but your AI client still can’t connect, the issue is in your client config, not the server.