Spendflo MCP (Model Context Protocol)
Last updated: September 17, 2026
Overview
Spendflo MCP (Model Context Protocol) is a remote server that connects MCP-compatible AI clients directly to your live Spendflo data. It enables you to query contracts, renewals, vendor spend, and procurement requests using natural language - without needing to navigate dashboards.
Key Capabilities
Spendflo MCP allows you to interact with procurement data conversationally:
Capability | What it Enables | Example Query |
|---|---|---|
Renewal Tracking | Identify upcoming contract renewals and associated spend | “Which contracts renew in the next 60 days and what am I paying?” |
Vendor Lookup | Retrieve contract details for specific vendors | “When does our Salesforce contract renew and what's the total cost?” |
Spend Visibility | Compare actual vs contracted spend across vendors | “Show actual vs contracted spend for Q1 across our top vendors.” |
Approval Bottlenecks | Detect procurement requests pending approval | “What procurement requests are stuck waiting on approvals right now?” |
Portfolio Summary | Get a high-level overview of contracts and spend | “How many active software contracts do we have and what's our total annualized spend?” |
Renewal Briefs | Generate summaries for upcoming renewals | “Draft a renewal brief for our top 5 contracts expiring this quarter.” |
How to Connect Spendflo MCP
Follow the steps below to connect your AI client to Spendflo MCP:
Setup Steps
Step | Action | Instructions |
|---|---|---|
Step 1: Open Connectors | Access connector settings in your AI client | Go to Settings → Connectors → Add Custom Connector |
Step 2: Enter MCP URL | Add the Spendflo MCP endpoint | Enter: |
Step 3: Authenticate | Complete login via OAuth | Click Connect and sign in via the browser (no API keys required) |
Step 4: Start Querying | Begin using natural language queries | Spendflo will appear as an active connector |
Authentication Notes
Spendflo MCP uses OAuth-based authentication
No API keys or tokens are required
Ensure:
Your browser session is logged into the same account as your AI client
If not, sign out and retry the connection process
Supported AI Clients
Spendflo MCP works with any client that supports remote MCP over HTTP/SSE.
Compatible Clients Include:
Claude Desktop
Claude Web
Cursor
Windsurf
VS Code (Copilot-enabled)
Claude Code
How Spendflo MCP Works
You connect your AI client to Spendflo MCP
You enter a query in natural language
MCP interprets the query and retrieves relevant data
Spendflo returns live procurement insights
Results are displayed conversationally within your AI client
Best Practices
Use clear and specific queries (include vendor names, timeframes, or metrics)
Combine dimensions like time + vendor + spend for deeper insights
Use MCP for:
Quick answers instead of navigating dashboards
Generating summaries and reports
Identifying operational bottlenecks
Example Use Cases
Use Case | Outcome |
|---|---|
Procurement Reviews | Quickly assess renewals and vendor spend |
Finance Planning | Compare contracted vs actual spend |
Vendor Management | Track contract timelines and costs |
Operations | Identify and resolve approval delays |
Executive Reporting | Generate summaries instantly |
Next Steps
Now that you have connected Spendflo MCP to your AI client, you can start querying your procurement data in natural language to track contracts, monitor renewals, and analyze vendor spend in real time. For more information on managing your contracts and procurement workflows, refer to our guide on Understanding the Agreements Listing Table.