CharlieHR MCP Server
for AI Agents
Connect your AI agent to StackOne's CharlieHR MCP server and give it 22 MCP tools out of the box. Auth, tool execution, and security all managed.
StackOne 
Coverage
22 Agent Actions
Create, read, update, and delete across CharlieHR — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your CharlieHR MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every CharlieHR tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every CharlieHR call.
Tools Discovery →What is the CharlieHR MCP Server?
A CharlieHR MCP server lets AI agents read and write CharlieHR data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's CharlieHR MCP server ships with 22 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All CharlieHR MCP Tools
Every action from CharlieHR's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Bank Accounts
- List Bank Accounts
Retrieve bank account information for all team members
- Get Bank Account
Retrieve bank account information for a specific team member
Companys
- Get Company
Retrieve company information for the authenticated account
Leave Allowances
- List Leave Allowances
Retrieve leave allowances for all team members
Leave Requests
- List Leave Requests
Retrieve all leave requests for the company
- Get Leave Request
Retrieve a specific leave request by ID
Offices
- List Offices
Retrieve all offices for the company
- Get Office
Retrieve a specific office by ID
Salaries
- List Salaries
Retrieve salary information for all team members
Salarys
- Get Salary
Retrieve a specific salary record by ID
Team Member Note Types
- Create Team Member Note Type
Create a new team member note type
- List Team Member Note Types
Retrieve all team member note types for the company
- Get Team Member Note Type
Retrieve a specific team member note type by ID
Team Members
- List Team Members
Retrieve all team members for the company
- Get Team Member
Retrieve a specific team member by ID
Team Member Leave Allowances
- Get Team Member Leave Allowance
Retrieve leave allowance for a specific team member
Team Member Leave Requests
- Get Team Member Leave Requests
Retrieve leave requests for a specific team member
Team Member Salaries
- Get Team Member Salaries
Retrieve salary history for a specific team member
Team Member Notes
- Create Team Member Note
Create a new note for a specific team member
- List Team Member Notes
Retrieve all notes for a specific team member
Teams
- List Teams
Retrieve all teams for the company
- Get Team
Retrieve a specific team by ID
CharlieHR AI Agent Use Cases
Connect your AI agent to CharlieHR and help your team scale the HR operations they run by hand today.
Use StackOne to connect your AI agent to your HRIS, identity management, and LMS to automate employee onboarding.
ViewUse StackOne to connect your AI agent to your HRIS, knowledge base, and messaging tools to automate HR policy Q&A.
ViewUse StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.
ViewSet Up Your CharlieHR MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to CharlieHR in under 10 lines of code.
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}Check More HRIS / HCM MCP Servers
162+ actions
128+ actions
127+ actions
123+ actions
120+ actions
117+ actions
111+ actions
Platform Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
MCP vs A2A: Architecture, Security, and When to Use Each
MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.
12 min
MCP vs API: What 200+ Connector Builds Taught Us
MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
14 min read
CharlieHR MCP Server FAQ
Does StackOne have a CharlieHR MCP server?
CharlieHR MCP server vs direct API integration — what's the difference?
How does CharlieHR authentication work for AI agents?
origin_owner_id.Are CharlieHR MCP tools vulnerable to prompt injection?
What is the context bloat of a CharlieHR agent and how do I avoid it?
Can I limit which actions my CharlieHR agent can access?
Can I create custom agent actions for my CharlieHR MCP server?
When should I NOT use a CharlieHR MCP server?
What AI frameworks and AI clients does the StackOne CharlieHR MCP server support?
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.