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Optimize
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Live 67 Actions
ChartHop MCP Server
for AI Agents
Connect your AI agent to StackOne's ChartHop MCP server and give it 67 MCP tools out of the box. Auth, tool execution, and security all managed.
ChartHop MCP Server
Built by 
StackOne
StackOne 
Coverage
67 Agent Actions
Create, read, update, and delete across ChartHop — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your ChartHop MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every ChartHop 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 ChartHop call.
Tools Discovery →What is the ChartHop MCP Server?
A ChartHop MCP server lets AI agents read and write ChartHop data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's ChartHop MCP server ships with 67 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 ChartHop MCP Tools
Every action from ChartHop's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Jobs
- Create Job
Create a new job (open position or filled role) in the organization
- List Jobs
Find jobs and people in the organization with filtering, pagination, and field selection
- Get Job
Get detailed information about a specific job or person by their job ID
- Update Job
Update an existing job with new field values
- Delete Job
Delete a job from the organization
Persons
- Create Person
Create a new person record in the organization
- List Persons
Find persons (employees) in the organization with filtering and pagination
- Get Person
Get detailed information about a specific person (employee) by their person ID
- Update Person
Update an existing person record with new field values
- Delete Person
Delete a person record from the organization
Groups
- Create Group
Create a new group (department, team, location) in the organization
- List Groups
Find groups (departments, teams, locations, cost centers) in the organization
- Get Group
Get detailed information about a specific group by its ID
- Update Group
Update an existing group's details
- Delete Group
Delete a group from the organization
Changes
- List Changes
Retrieve the audit trail of organizational changes (hires, departures, moves, updates)
- Get Change
Get detailed information about a specific organizational change
Events
- List Events
Retrieve organizational events (hire, depart, move, promote, update events)
- Get Event
Get detailed information about a specific organizational event
Users
- Create User
Create a new system user with login access to ChartHop
- List Users
Retrieve all users with system access to ChartHop
- Get User
Get a specific user by their user ID
- Update User
Update an existing user's details
Roles
- Create Role
Create a new custom role with specified permission sets
- List Roles
Retrieve all custom roles defined in the organization
- Get Role
Get detailed information about a specific role
- Update Role
Update an existing role's name, description, or permissions
- Delete Role
Delete a custom role from the organization
Scenarios
- Create Scenario
Create a new planning scenario for modeling organizational changes
- List Scenarios
Retrieve all planning scenarios in the organization
- Get Scenario
Get detailed information about a specific planning scenario
- Update Scenario
Update a planning scenario's details or status
- Delete Scenario
Delete a planning scenario permanently
Organizations
- List Organizations
Retrieve all organizations the authenticated user has access to
- Get Organization
Get detailed information about the organization
Fields
- Create Field
Create a new custom field definition for capturing organization-specific data
- List Fields
Retrieve all custom field definitions for the organization
- Get Field
Get detailed information about a specific custom field
- Update Field
Update an existing custom field definition
- Delete Field
Delete a custom field from the organization
Forms
- List Forms
Retrieve all forms including onboarding forms, surveys, and data collection templates
- Get Form
Get detailed information about a specific form
- Update Form
Update an existing form's configuration or questions
- Delete Form
Delete a form from the organization
Compensation Reviews
- Create Compensation Review
Create a new compensation review cycle
- List Compensation Reviews
Retrieve all compensation review cycles in the organization
- Get Compensation Review
Get detailed information about a specific compensation review cycle
- Update Compensation Review
Update a compensation review cycle's details or status
Compensation Bands
- Create Compensation Band
Create a new compensation band defining salary ranges
- List Compensation Bands
Retrieve all salary ranges and compensation band structures
- Get Compensation Band
Get details for a specific compensation band
- Update Compensation Band
Update an existing compensation band's salary ranges
Time Offs
- List Time Off
Retrieve time off requests for the organization
- Get Time Off
Get details for a specific time off request
Time Off Requests
- Create Time Off Request
Create a new time off request for an employee
- Update Time Off Request
Update an existing time off request
Tasks
- List Tasks
Retrieve all tasks in the organization
- Get Task
Get details for a specific task by task ID
Other (9)
- Create Field Category
Create a new field category for organizing custom fields
- Get Current User
Get the current authenticated user (me) profile
- List Field Categories
Retrieve all field categories used for organizing custom fields
- List Form Responses
Retrieve responses submitted for a specific form
- List Time Off Policies
Retrieve all time off policies (vacation, sick leave, PTO types)
- Get Time Off Policy
Get details for a specific time off policy
- List Processes
Retrieve all long-running process operations (imports, exports, syncs)
- Get Process
Get the status and details of a specific process operation
- Merge Scenario
Merge an approved planning scenario into the primary organizational timeline
ChartHop AI Agent Use Cases
Connect your AI agent to ChartHop and help your team scale the HR operations they run by hand today.
Employee Onboarding
Use StackOne to connect your AI agent to your HRIS, identity management, and LMS to automate employee onboarding.
View HR Policy Q&A Chatbot
Use StackOne to connect your AI agent to your HRIS, knowledge base, and messaging tools to automate HR policy Q&A.
View Employee Offboarding
Use StackOne to connect your AI agent to your HRIS, identity management, and ITSM to automate employee offboarding and deprovisioning.
ViewSet Up Your ChartHop MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to ChartHop 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
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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
ChartHop MCP Server FAQ
Does StackOne have a ChartHop MCP server?
Yes. StackOne offers a hosted ChartHop MCP server with 67 pre-built actions, and every action is tested and QA'd by StackOne. Connect it to Claude, Cursor, and any other MCP client, or to any agent framework through the AI Action SDK. It ships with managed agent authentication, prompt injection defense, and tool discovery with server-side execution that preserve your agent's context window and keep reasoning performance.
ChartHop MCP server vs direct API integration — what's the difference?
A ChartHop MCP server and direct API integration serve different use cases. Direct API integration is for software-to-software — backend code calling ChartHop. A ChartHop MCP server is for AI agents — MCP clients like Claude and Cursor, plus framework agents built with OpenAI, LangChain, or Vercel AI — discovering and calling ChartHop at runtime. StackOne provides both.
How does ChartHop authentication work for AI agents?
ChartHop authentication for AI agents works through a StackOne Connect Session. Create one via the dashboard or the SDK — you get an auth link and ready-to-paste config for Claude Desktop, Cursor, and other MCP clients. Your user authenticates their own ChartHop account; StackOne handles token exchange, storage, and refresh. Credentials never reach the LLM, and each user is isolated via
origin_owner_id.Are ChartHop MCP tools vulnerable to prompt injection?
Yes — ChartHop MCP tools can be vulnerable to indirect prompt injection. Any tool that reads user-written content — documents, messages, tickets, records, or free-text fields — is a potential vector. StackOne Defender scans every tool response before it enters the agent's context — regex patterns in ~1ms, then a MiniLM classifier in ~4ms. 88.7% accuracy, CPU-only.
What is the context bloat of a ChartHop agent and how do I avoid it?
Context bloat happens when ChartHop tool schemas and API responses eat your ChartHop agent's memory, preventing it from reasoning effectively. A single ChartHop query can return a massive JSON response, and connecting multiple tools compounds the problem. Tools Discovery and Code Mode reduce context bloat — loading only relevant tools per query and keeping raw responses out of the agent's context.
Can I limit which actions my ChartHop agent can access?
Yes — you can limit which actions your ChartHop agent can access directly from the StackOne dashboard. Toggle actions on or off, or restrict them to specific accounts, with no code changes to your agent. Session tokens can be scoped to exact actions so if one leaks, exposure stays contained.
Can I create custom agent actions for my ChartHop MCP server?
Yes — you can create custom agent actions for your ChartHop MCP server using Connector Builder. It's an integration agent your coding assistant (Claude Code, Cursor, or Copilot) can invoke to research ChartHop's API, generate production-ready connector YAML, test against the live API, and validate before you ship.
When should I NOT use a ChartHop MCP server?
Skip a ChartHop MCP server if your integration is purely software-to-software — direct ChartHop API integration is simpler when no AI agent is involved. For deterministic, compliance-critical operations (financial transactions, regulatory reporting), direct API gives you predictable behavior without agent-driven decision-making. MCP shines when AI agents need to dynamically discover and call ChartHop actions at runtime.
What AI frameworks and AI clients does the StackOne ChartHop MCP server support?
The StackOne ChartHop MCP server supports both. MCP clients (paste-and-go apps): Claude Desktop, Claude Code, Cursor, VS Code, Goose. Agent frameworks (code SDKs you build with): OpenAI Agents SDK, Anthropic, Vercel AI, Google ADK, CrewAI, Pydantic AI, LangChain, LangGraph, Azure AI Foundry.
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.