bamboohr · MCP Server

BambooHR + Improvado MCP — HR Analytics in Plain English

Improvado's MCP server connects BambooHR to Claude, Cursor, and other AI agents. Ask questions about headcount, turnover, time-off trends, and org structure in natural language — without pulling reports or building dashboards.

46K+ metrics ·Read & Write access ·500+ platforms ·<60s setup

Read

Read: Instant HR Metrics Without Building Reports

Ask your AI agent for headcount by department, turnover rates, time-off balances, and org structure changes. The MCP server handles the BambooHR API and returns structured answers on demand.

Example prompts

"What is the current headcount by department? Compare to 90 days ago and show the delta."

20 min → 20 sec

"What is the voluntary turnover rate for the last 12 months, broken down by department?"

1 hr → 1 min

"Show me employees with more than 15 unused PTO days as of today, grouped by department."

30 min → 30 sec

Works with Claude ChatGPT Cursor +5

Write

Write: Update Records and Trigger HR Workflows

Your AI agent can update employee fields, create time-off entries, and trigger BambooHR workflows — all from the conversation. No switching between tabs or navigating dropdown menus.

Example prompts

"Update the department field for the engineering team members who transferred to product last week."

25 min → 1 min

"Create a time-off request for the holidays schedule: Dec 24–26, type 'company holiday', apply to all employees."

40 min → 2 min

"Set the status of all employees hired before Jan 1 who haven't completed their annual review to 'review_pending'."

30 min → 1 min

Every action logged · Fully reversible · SOC 2 certified

Monitor

Monitor: Headcount Changes and Compliance Deadlines

Set up watches on headcount changes, policy compliance, and onboarding completion. Your AI agent monitors BambooHR data continuously and alerts HR teams before issues become problems.

Example prompts

"Alert me if any department's headcount drops more than 10% in a rolling 30-day window."

Manual → auto

"Every Friday: send a summary of new hires, departures, and open PTO balances by department."

2 hrs → auto

"Flag any employee whose onboarding checklist isn't completed 14 days after their start date."

Manual → auto

Alerts sent to Slack, email, or your AI agent

Full cycle

The Closed Loop: Read → Decide → Write → Monitor

Your AI agent doesn't just surface data — it acts. Adjust pricing, update product descriptions, manage inventory, apply discounts — all through natural language. The MCP server translates intent into API operations.

Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.

Ideate

Launch

Measure

Analyze

Report

Iterate

One conversation. All six phases. Every platform.

The daily grind

Common problems. Direct answers.

Challenge 1

Headcount Reporting Takes Hours Every Week

The problem

HR teams spend significant time each week exporting BambooHR data, building spreadsheets, and formatting headcount reports for leadership. The process is repetitive, error-prone, and always lags behind actual changes.

How MCP solves it

Improvado connects BambooHR to an AI agent via MCP. Headcount, turnover, and department breakdown questions are answered instantly — no exports, no spreadsheets, no waiting until Friday's report.

Try asking

What is the current headcount by department and location? How does it compare to budget?

Answer in seconds

All data sources, one query

Challenge 2

Turnover Trends Buried in Manual Analysis

The problem

Understanding whether turnover is concentrated in specific departments, tenures, or seasons requires cohort analysis that most HRIS tools don't provide out of the box. HR teams either skip the analysis or invest hours building custom queries.

How MCP solves it

Improvado normalizes BambooHR employment history into a structured model. The MCP server lets HR teams ask nuanced turnover questions — by cohort, department, tenure band, or time period — instantly.

Try asking

What is the 90-day turnover rate for employees hired in the last 2 years, broken down by department?

Full detail preserved

No data loss on export

Challenge 3

Compliance Deadlines Missed Without a Monitoring System

The problem

Onboarding paperwork deadlines, annual review windows, and certification renewals are tracked manually or in separate spreadsheets. Items slip through the cracks and HR only finds out after a compliance issue surfaces.

How MCP solves it

Improvado monitors BambooHR task and deadline data continuously. The MCP server surfaces upcoming and overdue compliance items on demand and triggers alerts when deadlines are approaching.

Try asking

Which employees have outstanding required training or compliance items due in the next 14 days?

Unified data model

Compare anything side by side

👥 Teams

One Framework. Five Roles. Zero Setup.

Same MCP connection, different workflows for every team member. Each role asks in natural language — the MCP server handles the complexity (rate limits, auth, schema normalization, governance) behind the scenes.

Agency CEO

Portfolio health. Client risk. Revenue signals.

Media Strategist

70% strategy, not 70% ops. Auto campaign QA.

Marketing Analyst

Zero wrangling. Cross-platform. AI narratives.

Account Manager

QBR decks auto-generated. Call prep in 30s.

Creative Director

Performance-to-brief. Predict winners before spend.

FAQ

Common questions

Does BambooHR have a native MCP server?

BambooHR does not provide a native MCP server. Improvado's MCP server connects BambooHR to Claude, Cursor, ChatGPT, and other MCP-compatible AI tools — handling API authentication, data normalization, and query execution so HR teams can work with their data in natural language.

Which BambooHR data is accessible through the MCP server?

Improvado exposes employee profiles, department and org structure, employment history, time-off requests and balances, onboarding task completion, and custom fields. Both read and write operations are supported based on configured permissions.

Is employee data secure through the MCP connection?

Yes. Improvado is SOC 2 Type II certified and treats HR data with strict access controls. BambooHR API credentials are stored in an encrypted vault and never exposed to the AI agent. Access is scoped at the connection level — only fields and objects explicitly permitted are queryable.

Can the AI agent write back to BambooHR?

Yes, with appropriate permissions configured. Write operations include updating employee fields, creating time-off entries, and triggering workflow transitions. Write access is optional and scoped — teams can enable read-only mode for analytics use cases and add write access as needed.

Can BambooHR data be combined with other HR or business data?

Yes. Improvado's MCP connection gives the AI agent access to 1,000+ data sources. Teams can correlate BambooHR headcount data with payroll systems, recruiting tools, or business performance metrics — in a single question, without building custom data pipelines.

How long does setup take for BambooHR?

BambooHR uses API key authentication. Once the key is entered in Improvado's connection setup, the integration is live within minutes. Existing Improvado users can add BambooHR to their MCP session without any infrastructure changes.

Stop Reporting. Start Executing.

Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.

SOC 2 Type II GDPR 500+ Platforms