MCP Server
MCP Server
Connect modern AI clients to Teamfluence using Model Context Protocol (MCP)
The Teamfluence Model Context Protocol (MCP) Server enables modern AI assistants (such as Claude Desktop, Cursor, VS Code Copilot, and others) to interact directly with your Teamfluence workspace and leads data using standard MCP tools.
Server Information
- MCP Server Endpoint:
https://api.teamfluence.com/mcp - Authentication: OAuth 2.0 flow
Info
The MCP server endpoint https://api.teamfluence.com/mcp supports modern MCP clients and authenticates seamlessly via OAuth flow.
Prerequisites & Setup
Before connecting your MCP client for the first time, make sure you complete the following setup step.
Warning
Password Required: You must set a password in your profile settings before connecting an MCP client for the first time. Visit https://my.teamfluence.app/profile to configure your password.
Set your profile password
Navigate to your Teamfluence profile settings at https://my.teamfluence.app/profile and click on 3 dots menu button next to "save changes". Select "Reset password" and set your new password. This password is required for authentication during the OAuth flow.
Configure your MCP Client
In your preferred MCP client (e.g., Claude Desktop, Cursor, VS Code, Goose), add a new MCP server connection with the following endpoint:
https://api.teamfluence.com/mcpAuthenticate via OAuth
When prompted by your client, complete the OAuth flow to authorize access to your Teamfluence workspace.
Available MCP Tools
The Teamfluence MCP Server exposes standard tools for workspace inspection, lead retrieval, and lead status updates.
MCP Tools Reference
Explore the full reference documentation and parameter schemas for describe_workspace, fetch_leads, and update_lead.