Gusto MCP

Live

OAUTH 2.0

PAYROLL

Accounting & Finance

Every employee, pay period, and benefits record your team manages lives in Gusto. Gusto MCP gives your agent authenticated access to payroll and HR data scoped to the user who authorized it.

  • Acts as the user: Access and write actions stay tied to the Gusto MCP account that authorized the agent.
  • Credentials stay vaulted: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: User permissions enforced. 90-day audit trail.
Gusto MCP
agent · Acme Q3
Run
How many active employees are in engineering and what is the upcoming pay period date?
S
gusto_employees_list
77ms
HR agent
42 active employees in Engineering. Next pay period: Nov 15 (semi-monthly). Last payroll processed Nov 1, $284K total. 3 employees with pending status changes before cutoff.
Sources: Engineering department, Gusto
gustomcpmcp
42 employees
18:29
Message Claude...

Tools your hr agent reaches for on Gusto MCP, scoped per user.

CALL ANY TOOL
List employees and departments, retrieve payroll details, check pay periods, and view benefits plans.
gustomcp_list_payrolls
List payrolls
List all payroll runs for the company with optional filtering by type, date, and status.
Parameters
Name
Type
Required
Description
_context
string
Optional
The original user question or request that prompted this tool call
date_filter_by
string
Optional
Specifies which date field to use when filtering with start_date and end_date. Only applies to regular processed payrolls. Defaults to pay period if not provided. Valid value is check_date.
end_date
string
Optional
Filters where the pay period ends on or before this date (YYYY-MM-DD). Cannot be more than 3 months in the future and must be within 1 year of start_date.
include
string
Optional
Comma-separated: taxes, totals, payroll_status_meta, risk_blockers, reversals
page
integer
Optional
The page that is requested. When unspecified, will load all objects unless endpoint forces pagination.
payroll_types
string
Optional
Comma-separated: regular,off_cycle,external
per
integer
Optional
Number of objects per page. For majority of endpoints will default to 25.
processing_statuses
string
Optional
Comma-separated: processed,unprocessed
sort_by
string
Optional
Sort field: pay_period or check_date
sort_order
string
Optional
Sort payrolls in ascending (asc) or descending (desc) chronological order. Defaults to asc.
start_date
string
Optional
Filters where the pay period starts on or after this date (YYYY-MM-DD). Must be within 1 year of end_date.
gustomcp_search_business_info
Search business info
gustomcp_list_employees
List employees
gustomcp_get_job
Get job
gustomcp_list_locations
List locations
gustomcp_get_company
Get company
gustomcp_list_contractors
List contractors
gustomcp_get_payroll
Get payroll
gustomcp_list_departments
List departments
gustomcp_get_employee
Get employee
gustomcp_list_pay_periods
List pay periods
gustomcp_get_location
Get location
gustomcp_list_time_records
List time records
gustomcp_get_contractor
Get contractor
gustomcp_list_earning_types
List earning types
gustomcp_get_department
Get department
gustomcp_list_employee_jobs
List employee jobs
gustomcp_get_compensation
Get compensation
gustomcp_list_pay_schedules
List pay schedules
gustomcp_get_time_sheet
Get time sheet
gustomcp_list_payroll_blockers
List payroll blockers
gustomcp_get_token_info
Get token info
gustomcp_list_job_compensations
List job compensations
gustomcp_get_pay_schedule
Get pay schedule
gustomcp_list_contractor_payments
List contractor payments
gustomcp_get_employee_rehire
Get employee rehire
gustomcp_list_employee_terminations
List employee terminations
gustomcp_get_onboarding_answer
Get onboarding answer
gustomcp_list_custom_fields_schema
List custom fields schema
gustomcp_get_contractor_payment
Get contractor payment
Build your Agent
Drop the toolkit in, point it at the user, and your hr agent can use Gusto MCP from the first run.
Python · LlamaIndex
import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["gustomcp"], toolNames: ["gusto_employees_list", "gusto_employee_get", "gusto_pay_periods_list"] },
pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
name: t.tool.definition.name,
description: t.tool.definition.description,
schema: z.object({}).passthrough(),
func: async (args) => {
const { data } = await sk.tools.executeTool({
toolName: t.tool.definition.name,
identifier: "user_123",
params: args,
});
return JSON.stringify(data);
},
}));

const agent = createReactAgent({ llm, tools: lcTools });
import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["gustomcp"], toolNames: ["gusto_employees_list", "gusto_employee_get", "gusto_pay_periods_list"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
type: "function",
function: {
name: t.tool.definition.name,
description: t.tool.definition.description,
parameters: t.tool.definition.input_schema,
},
}));

const resp = await openai.responses.create({
model: "gpt-4o", input: prompt, tools: llmTools,
});
import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
filter: { connectionNames: ["gustomcp"], toolNames: ["gusto_employees_list", "gusto_employee_get", "gusto_pay_periods_list"] },
pageSize: 100,
});

const llmTools = tools.map((t) => ({
name: t.tool.definition.name,
description: t.tool.definition.description,
input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
model: "claude-sonnet-4-6", max_tokens: 1024,
tools: llmTools,
messages: [{ role: "user", content: prompt }],
});
import { Agent } from "@google/adk/agents";
import {
MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
connectionParams: new StreamableHTTPConnectionParams({
url: "https://mcp.scalekit.com/gustomcp",
headers: { Authorization: `Bearer ${userScopedToken}` },
}),
});

const agent = new Agent({
name: "agent", model: "gemini-2.0-flash",
tools: await toolset.getTools(),
});
Try these prompts
Paste any prompt into your agent to start using Gusto MCP.
Employees & org
Copy the prompt
Copied
List all active employees in [department].
Copy the prompt
Copied
Get profile for [employee name].
Copy the prompt
Copied
How many employees are in [office location]?
Copy the prompt
Copied
Which employees were hired this month?
Payroll & benefits
Copy the prompt
Copied
What is the next pay period date?
Copy the prompt
Copied
List all benefits plans.
Copy the prompt
Copied
Get payroll summary for [pay period].
Copy the prompt
Copied
Which employees have pending status changes?
Reporting
Copy the prompt
Copied
Headcount by department.
Copy the prompt
Copied
New hires this quarter.
Copy the prompt
Copied
List employees with upcoming work anniversaries.
Copy the prompt
Copied
Which departments grew most this year?
SEE HOW AUTH WORKS
Users authorize Gusto MCP once. Their credentials stay vaulted, every call is checked, and every action is logged.
1
Authorize
Your user connects
Gusto MCP
once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access
Who:
user ‘A’
when:
Once per user
access:
Limited to user
2
Store
Their
Gusto MCP
token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection
vault:
encrypted
scope:
per-user
tokens:
auto-refreshed
3
Resolve
When your agent calls a
Gusto MCP
tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs
speed:
~40ms
check:
before every call
seen by:
nobody
4
Audit
Every
Gusto MCP
tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it
history:
90 days
export:
SIEM-ready
logged:
every call
Test other agents
Same per-user auth pattern across other hr agents and MCP connectors. Working code, live demos, fork what fits.
People Ops and HR teams
Offer letter routing agent
Drafts the offer in PandaDoc, blocks on the hiring manager's approval in Slack, then emails the candidate their e-signature link. Every call runs as the recruiter who triggered it, never a shared HR bot.
People Ops and HR teams
Performance review collector
Collects review feedback from Airtable and Google Forms scoped to each manager's direct reports, writes per-employee summaries to Notion, and DMs the manager a Slack digest.
Support and Ops Teams
Meeting prep
Pulls agenda, participant context, and open action items before every meeting.
GTM and RevOps Teams
Revenue forecast commentary
Pulls open pipeline from Salesforce and HubSpot, calculates coverage against quota, flags at-risk stages, posts commentary to Slack, and logs every snapshot to Google Sheets.
Test other agents
Same per-user auth pattern across other hr agents and MCP connectors. Working code, live demos, fork what fits.
PEOPLE OPS
Offer letter routing agent
Draft the offer in PandaDoc, gate it on hiring manager approval in Slack, then email the candidate their signature link.
PEOPLE OPS
Performance review collector agent
Collect review feedback from Airtable and Google Forms per manager, summarise each report in Notion, and DM the digest in Slack.
OPS
Meeting prep agent
Assemble the agenda, HubSpot attendee history, and open action items from Gmail before every meeting on the calendar.
GTM
Revenue forecast agent
Score pipeline coverage against quota across Salesforce and HubSpot, post forecast commentary to Slack, log snapshots to Sheets.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
01.
Shared tokens break per-user analytics
A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.
// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
Gusto MCP today. Others tomorrow.
“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”
Venu Madhav Kattagoni
Head of Engineering / Von
FAQs
Frequently Asked Questions
Does the agent access Gusto MCP as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.
Where is the Gusto MCP oauth 2.0 stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.
Can I limit what the agent is allowed to do in Gusto MCP?
Yes. Pass a tool name filter to listScopedTools so the HR agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Gusto MCP.
What happens when a user revokes Gusto MCP access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.
Can the agent access payroll data for all employees regardless of the user's HR role?
Only data the authorizing user's Gusto OAuth scope permits. Admin roles see full payroll; manager roles see their reports. Sensitive compensation data respects Gusto's native role-based access controls.
Start in your coding agent
Up and running in one command
Install the Scalekit skill in your editor of choice. Connector, auth, tools, prompt, all wired up
Claude Code REPL
/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack
Cursor Code REPL
# ~/.cursor/mcp.json
{
""mcpServers"": {
""gustomcp"": {
""url"": ""https://mcp.scalekit.com/gustomcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.gustomcp]
url = ""https://mcp.scalekit.com/gustomcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""gustomcp"": {
""url"": ""https://mcp.scalekit.com/gustomcp"",
""type"": ""http""
}
}
}