SAP Fieldglass MCP server
SAP Fieldglass is a cloud-based Vendor Management System (VMS) and services procurement platform helping organizations manage external workforce including contingent workers, statement of work (SOW) engagements, and vendor relationships. With this MCP server, AI agents can manage requisitions, track candidates and workers, process timesheets, manage invoices, and access workforce analytics through natural language commands.
Setting up an MCP server
This article covers the standard steps for creating an MCP server in AI Gateway and connecting it to an AI client. The steps are the same for every integration — application-specific details (API credentials, OAuth endpoints, and scopes) are covered in the individual application pages.
Before you begin
You'll need:
- Access to AI Gateway with permission to create MCP servers
- API credentials for the application you're connecting (see the relevant application page for what to collect)
Create an MCP server
Find the API in the catalog
- Sign in to AI Gateway and select MCP Servers from the left navigation.
- Select New MCP Server.
- Search for the application you want to connect, then select it from the catalog.
Configure the server
- Enter a Name for your server — something descriptive that identifies both the application and its purpose (for example, "Zendesk Support — Prod").
- Enter a Description so your team knows what the server is for.
- Set the Timeout value. 30 seconds works for most APIs; increase to 60 seconds for APIs that return large payloads.
- Toggle Production mode on if this server will be used in a live workflow.
- Select Next.
Configure authentication
Enter the authentication details for the application. This varies by service — see the Authentication section of the relevant application page for the specific credentials, OAuth URLs, and scopes to use.
Configure security
- Set any Rate limits appropriate for your use case and the API's own limits.
- Enable Logging if you want AI Gateway to record requests and responses for auditing.
- Select Next.
Deploy
Review the summary, then select Deploy. AI Gateway provisions the server and provides a server URL you'll use when configuring your AI client.
Connect to an AI client
Once your server is deployed, you'll need to add it to the AI client your team uses. Select your client for setup instructions:
Tips
- You can create multiple MCP servers for the same application — for example, a read-only server for reporting agents and a read-write server for automation workflows.
- If you're unsure which OAuth scopes to request, start with the minimum read-only set and add write scopes only when needed. Most application pages include scope recommendations.
- You can edit a server's name, description, timeout, and security settings after deployment without redeploying.
Authentication
SAP Fieldglass uses OAuth 2.0 authentication. Configure OAuth in your Fieldglass instance to obtain credentials.
- Authorization URL:
https://{fieldglass-instance}/oauth/authorize - Token URL:
https://{fieldglass-instance}/oauth/token - Client ID: Generated from Fieldglass admin console
- Client Secret: Generated from Fieldglass admin console
Replace {fieldglass-instance} with your actual Fieldglass instance URL.
Available tools
The SAP Fieldglass MCP server exposes requisition management, candidate tracking, worker management, timesheet processing, invoicing, and workforce analytics APIs.
| Tool | Purpose |
|---|---|
| Requisition Management | Create requisitions for contingent roles; post job openings; manage requisition status; track approvals |
| Candidate Management | Review candidate submissions; manage candidate pipelines; accept/reject candidates; extend offers |
| Worker Management | Onboard contingent workers; manage worker profiles; track worker assignments; manage off-boarding |
| Timesheet & Attendance | Process worker timesheets; track hours; manage approvals; handle exceptions and disputes |
| Invoice Processing | Process vendor invoices; track invoice status; reconcile invoices with timesheets; manage payments |
| Statement of Work (SOW) | Create SOW-based engagements; track deliverables; manage SOW projects; process completions |
| Vendor Management | Manage vendor profiles; track vendor performance; evaluate vendors; maintain vendor ratings |
| Analytics & Reporting | Generate workforce analytics; track spend by vendor; analyze staffing trends; forecast needs |
Tips
Create clear job descriptions with specific requirements, set realistic budgets and timelines, route requisitions through approval workflows, and track time-to-fill metrics.
Maintain accurate vendor master data and evaluate vendors systematically while tracking vendor compliance and conducting regular performance reviews.
Ensure proper classification (W-2, 1099, etc.) for compliance, configure onboarding workflows, verify required documentation, and maintain audit trail.
Establish clear time tracking policies and review timesheets promptly for discrepancies while maintaining audit logs and reconciling with pay cycles.
Three-way match invoices with timesheets and POs, set up exception handling for variances, process payments promptly, and maintain vendor relationships.
Cequence AI Gateway