cl-bamboohr-mcp

cl-bamboohr-mcp

A comprehensive BambooHR MCP server providing read/write access to employee data, time-off, files, analytics, and reports.

Category
Visit Server

README

cl-bamboohr-mcp

A comprehensive BambooHR MCP (Model Context Protocol) server providing read/write access to employee data, time-off, files, analytics, and reports.

Background

This project was built by evaluating three existing open-source BambooHR MCP servers, then combining the best architecture, features, and API coverage from all three into a single, secure, well-tested server:

Source Repo What we took
Architectural base evrimalacan/mcp-bamboohr Cleanest TypeScript, proven test patterns, singleton client, core read tools (employee, time-off, files, meta)
Write operations a-isakov/bamboohr-mcp update-employee, create-time-off-request, employee files, departments
Analytics & reports zuharz/bamboo-mcp-unofficial Workforce analytics, custom reports, dataset discovery, find-employee, get-team-info, caching/retry patterns

All three source repos are MIT-licensed. None were production-quality individually (0-2 GitHub stars, security issues like API key leaks in logs, missing input validation). This project addresses those gaps with proper input validation, credential sanitization, field allowlists for write operations, and comprehensive test coverage.

The entire server — code, tests, and documentation — was generated by Claude (Opus 4.6) based on a detailed architecture plan derived from auditing the three source repos.

Features

  • 21 tools covering the full BambooHR API surface
  • Read and write operations (employee updates, time-off requests)
  • Built-in caching, retry with exponential backoff, and error categorization
  • Security hardening: input validation, credential sanitization, field allowlists
  • TypeScript with 100+ tests

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "bamboohr": {
      "command": "node",
      "args": ["/path/to/cl-bamboohr-mcp/dist/index.js"],
      "env": {
        "BAMBOO_API_TOKEN": "your-api-key",
        "BAMBOO_COMPANY_DOMAIN": "your-company"
      }
    }
  }
}

From Source

git clone https://github.com/iseletsk/cl-bamboohr-mcp.git
cd cl-bamboohr-mcp
npm install
npm run build

Environment Variables

Variable Required Default Description
BAMBOO_API_TOKEN Yes BambooHR API key
BAMBOO_COMPANY_DOMAIN Yes Company subdomain
DEBUG No false Enable debug logging
BAMBOO_CACHE_TTL_MS No 300000 Cache TTL in ms (5 min)
BAMBOO_MAX_RETRIES No 3 Max retry attempts
BAMBOO_REQUEST_TIMEOUT_MS No 30000 Request timeout in ms
BAMBOO_UPDATE_ALLOWED_FIELDS No Comma-separated allowlist for update-employee

Tools

Employee Management (6)

  • get-employee — Get employee details by ID
  • find-employee — Search directory by name/email/department
  • update-employee — Update employee fields (WRITE)
  • get-employee-directory — Full company directory
  • get-employee-photo — Employee photo URL
  • get-employee-goals — Performance goals

Time Off (4)

  • get-whos-out — Who's currently out
  • get-time-off-requests — Filter requests by date/status
  • estimate-time-off-balance — Future balance estimate
  • create-time-off-request — Create a request (WRITE)

Files (3)

  • list-company-files — Company files by category
  • get-company-file — File metadata
  • get-employee-files — Employee files by category

Organization (3)

  • get-meta-fields — Field metadata (filterable by type)
  • get-departments — All departments
  • get-team-info — Team members by supervisor/department

Analytics (3)

  • discover-datasets — Available datasets
  • discover-fields — Fields in a dataset
  • workforce-analytics — Query datasets with filters

Reports (2)

  • list-custom-reports — Saved reports
  • run-custom-report — Execute a report

Security

  • All IDs validated (numeric regex for employee/file/report IDs)
  • Subdomain validated at startup
  • No credential logging — auth stripped from error objects
  • Optional field allowlist for write operations
  • Dates and enums validated via Zod schemas

Development

npm test              # Run tests
npm run test:coverage # Run with coverage
npm run build         # TypeScript compilation
npm run lint          # Type check only

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured