Connect your AI Agents to BambooHR in minutes

What is a BambooHR MCP server?

It’s an MCP server that exposes data and functionality from BambooHR via tools. Your agents can invoke these tools to add employees, gather employee information, modify a goal, and more.

BambooHR doesn’t currently support their own official MCP server, so you’ll need to use one that's hosted and maintained by a 3rd-party.

How can I use a BambooHR MCP server?

Here are some common use cases:

• Employee directory sync: Your agent can pull employee profile data from BambooHR and update downstream systems. For example, when a new hire is added, create an internal directory record and notify Slack
  

• Onboarding automation: Your agent can trigger onboarding workflows from BambooHR changes. For instance, when a new hire becomes active, create onboarding tasks and schedule kickoff meetings
  

• PTO and coverage coordination: Your agent can monitor time-off updates in BambooHR and alert managers or teams. For example, when PTO is booked, flag coverage gaps and update schedules
  

• Offboarding workflows: Your agent can kick off offboarding when an employee status changes. For instance, when termination is recorded, create an offboarding ticket and notify IT/People Ops

What makes Merge Agent Handler’s BambooHR MCP server better than alternative BambooHR MCP servers?

Here are just a few reasons:

• Enterprise-grade security with Data Loss Protection (DLP): Merge includes a Security Gateway that scans tool inputs and outputs for sensitive data and enforces configurable rules (e.g., block or redact sensitive fields). The platform provides default and custom DLP rules to prevent data misuse
  

• Built-in authentication & credential management: Agent Handler supports dynamic authorization flows and handles credential management across connectors.You can require individual authentication per user or allow shared authentication per connector within a Tool Pack

• Real-time observability with fully searchable logs: Agent Handler logs every tool call and its underlying API request, enabling full audit trails. Logs are searchable for auditing, debugging, and optimization
  

• Connector Studio for customization: You can access pre-built connectors, add or modify your own connectors, and customize integration functionality
  

• Evaluation Suite before production deployment: You can define evaluation scenarios, validate tool output against expected results, and pinpoint connector improvements prior to production.

Can I set custom security rules for BambooHR tool calls in Merge Agent Handler?

Yes, the Security Gateway and Data Loss Protection (DLP) engine scan tool inputs and outputs for sensitive data and take action based on configured rules.

You can:

• Block highly sensitive identifiers (input + output): Block any BambooHR tool call if the request or response contains an SSN (e.g., a 123-45-6789 pattern)
  

• Redact PII while still allowing the call: Allow “get employee” style tool calls, but automatically redact personal emails or other sensitive fields before data is returned to the agent or written downstream
  

• Prevent secrets leaking into BambooHR fields: Block tool calls that attempt to write API keys, bearer tokens, or password-like strings into any BambooHR text field (for example, notes or custom fields)
  

• Tool-level allow/deny for write actions: Allow read-only BambooHR tools, but block high-risk write actions unless explicitly permitted (for example, “update employee” or “terminate employee”)
  

• Alerting on violations: When a rule is hit, log it and alert your team with the rule name, timestamp, connector/tool, and requesting user/system

How can I start using Merge Agent Handler’s BambooHR MCP server?

1. Create (or log into) your Merge Agent Handler account, then open the dashboard where you manage connectors and tool packs.

2. Create a Tool Pack for the workflow you are building, since tool packs define which connectors and tools your agent can use (and the auth scope, like individual vs shared).

3. Add the BambooHR connector to the Tool Pack (or import it as a remote MCP server connector, if you are bringing your own server).

4. Create a “registered user” for the end user (or team) who will authenticate to BambooHR. This is the container that holds credentials.

5. Have the end user authenticate BambooHR. Agent Handler will prompt for credentials the first time a BambooHR tool call is attempted, and tools become available after auth is complete.

6. List available tools (via list_tools) so you can see the BambooHR tools that are now unlocked for that Tool Pack and registered user combination.

7. Test tool calls in the playground, then wire the same MCP server into your actual agent so it can invoke BambooHR tools in production.

8. Turn on default security rules and add custom DLP rules (block, redact, or log) before scaling usage beyond testing.

Can employees use Merge Agent Handler to connect their AI tools to BambooHR?

Yes, Agent Handler for Employees lets your employees connect Claude, ChatGPT, Microsoft Copilot, Cursor, and other MCP-compatible AI tools to BambooHR without bypassing IT governance.

Instead of setting up direct connections with personal credentials that IT can't monitor or revoke, each employee authenticates through Agent Handler and gets individual credentials tied to their identity.

IT also provisions access by role or group via SCIM. An HR manager, for example, gets BambooHR to access employee records and PTO data, Workday to manage workforce operations, and Google Sheets to report headcount; while a recruiter gets BambooHR to track new hire profiles, Greenhouse to manage candidates, and Slack to coordinate with hiring managers.

Every tool call an employee's AI makes to BambooHR is also inspected against your DLP rules and logged to a searchable audit trail, giving security teams full visibility into what data was accessed and by whom.