Stripe MCP

Live

OAUTH 2.1

PAYMENTS

Accounting & Finance

Every customer, subscription, dispute, and Stripe API operation your agent needs to run lives in Stripe. Stripe MCP gives your agent per-user OAuth access scoped to the authorizing Stripe account.

  • Acts as the user: Subscription updates and API calls stay tied to the Stripe 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.
Stripe MCP
agent · Acme Q3
Run
Pause the subscription for customer cus_Q9 until next billing cycle.
S
stripemcp_stripe_api_write
118ms
Billing agent
Subscription sub_8K2 paused. pause_collection set to keep_as_draft. Resumes on the next billing date (Dec 14). No invoices will be sent in the interim.
Sources: Stripe Billing, cus_Q9
stripemcp
1
18:29
Message Claude...

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

CALL ANY TOOL
Manage subscriptions, search and execute any Stripe API operation, recommend integration patterns. Same toolkit, every framework, no auth plumbing.
stripemcp_atlas_company_formation
Atlas company formation
Stripe Atlas: start or resume a Delaware C corp/LLC formation. Set action to: - "list": check for existing applications before "create", using an authorized account. Returns applications the current user can access as primary representative. Show any matches to the user. Applications with submitted_at are already submitted; offer to resume only drafts or create a separate company. - "create": create a new Atlas application, which also creates a new Stripe merchant required for Atlas. You can call "create" from a sandbox or testmode account; the new Stripe account is always a live account. Follow the returned authorization instructions. - "retrieve": load the formation and next step on the authorized Atlas account. - "advance": save step and data. Follow next_step_instructions and next_step_schema; steps can be revisited. For a chosen merchant_id, get stripe_context from list_available_accounts_or_orgs. That tool checks session access, not application existence. If the account is missing, authorize it with manage_stripe_accounts and refresh the account list before retrieving its formation. Drafts only: submission, signing, payment, and personal tax IDs happen in the Dashboard. Creation is not idempotent. After a timeout or unclear failure, don't retry "create"; use "list" and "retrieve" before resending only missing changes using returned IDs.
Parameters
Name
Type
Required
Description
action
string
Required
List accessible Atlas applications, create a new one, retrieve the current formation, or save a formation step. One of: `list`, `create`, `retrieve`, `advance`.
livemode
boolean
Required
Whether to operate in livemode (true) or test mode/ sandbox (false). Must match the livemode of the stripe_context account.
stripe_context
string
Required
The account to target for this request. Use the `stripe_context` value returned by list_available_accounts_or_orgs.
data
object
Optional
Answers matching the returned next_step_schema. Required for advance except validate, where it is ignored. Omit for list, create, and retrieve.
step
string
Optional
Required for advance; use the step returned by retrieve. Omit for list, create, and retrieve.
stripemcp_list_available_accounts_or_orgs
List available accounts or orgs
stripemcp_manage_stripe_accounts
Manage stripe accounts
stripemcp_search_stripe_documentation
Search stripe documentation
stripemcp_send_stripe_feedback
Send stripe feedback
stripemcp_send_stripe_mcp_feedback
Send stripe mcp feedback
stripemcp_stripe_analytics
Stripe analytics
stripemcp_stripe_api_details
Stripe api details
stripemcp_stripe_api_read
Read stripe api
stripemcp_stripe_api_search
Search stripe api
stripemcp_stripe_api_write
Write stripe api
stripemcp_stripe_implementation_planner
Stripe implementation planner
Build your Agent
Drop the toolkit in, point it at the user, and your agent can manage Stripe subscriptions and call any Stripe API 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: ["stripemcp"], toolNames: ["stripemcp_list_available_accounts_or_orgs", "stripemcp_stripe_api_write", "stripemcp_stripe_api_search"] },
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: ["stripemcp"], toolNames: ["stripemcp_list_available_accounts_or_orgs", "stripemcp_stripe_api_write", "stripemcp_stripe_api_search"] },
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: ["stripemcp"], toolNames: ["stripemcp_list_available_accounts_or_orgs", "stripemcp_stripe_api_write", "stripemcp_stripe_api_search"] },
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/stripemcp",
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 managing Stripe from your workflows.
Billing actions
Copy the prompt
Copied
Pause subscription [sub_id] until [date].
Copy the prompt
Copied
Refund the last charge for customer [cus_id].
Copy the prompt
Copied
Upgrade [cus_id] from monthly to annual plan with prorated credit.
Reporting & search
Copy the prompt
Copied
Find all disputes opened in the last 7 days.
Copy the prompt
Copied
Show MRR by plan for active subscriptions.
Copy the prompt
Copied
List customers with failed payments this month.
SEE HOW AUTH WORKS
Users authorize Stripe once. Their credentials stay vaulted, every call is checked, and every action is logged.
1
Authorize
Your user connects
Stripe 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
Stripe 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
Stripe 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
Stripe 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 finance and payments connectors.
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.
GTM and RevOps Teams
Deal room sync
Pulls opportunity context from Salesforce, captures key decisions from Slack, and syncs a running summary to the deal room doc in Google Drive, but only when the deal actually changed.
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.
GTM and RevOps Teams
CRM AI agent
Reads the Granola transcript after every call, extracts next steps and updates the HubSpot record, drafts the follow-up in Gmail, and confirms in Slack, all on the rep's own delegated OAuth.
Test other agents
Same per-user auth pattern across other finance and payments connectors.
GTM
Revenue forecast agent
Score pipeline coverage against quota across Salesforce and HubSpot, post forecast commentary to Slack, log snapshots to Sheets.
GTM
Deal room sync agent
Pull opportunity context from Salesforce, capture decisions from Slack, and keep the Google Drive deal room doc current.
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.
GTM
CRM AI agent
Turn each Granola call transcript into a HubSpot record update, a drafted Gmail follow-up, and a Slack recap.
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.
Stripe 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 Stripe as the user or a shared service account?
As the user. Each Stripe account authorizes once and Scalekit resolves their credential at request time. All API calls are attributed to that user.
Where is the Stripe OAuth token stored?
In Scalekit's AES-256 vault, namespaced per tenant. Refresh is automatic. Tokens never appear in prompts or LLM context.
Can I prevent the agent from executing destructive API calls?
Yes. Use listScopedTools to restrict the agent to read-only operations (account info, search, details) without granting execute_stripe_api.
What happens when a user revokes Stripe access?
The connection is invalidated on the next tool call. Subsequent requests fail closed with a clear error.
Is this safe to use for production billing workflows?
Yes. Per-user credential isolation, scope enforcement before every call, and a 90-day audit trail are built in. Every Stripe operation executes as the authorizing user with their Stripe permissions.
What other MCP connectors does Scalekit support?
Scalekit runs the QuickBooks MCP server, Xero MCP server, and HarvestAPI MCP server on the same per-user auth, token vault, and audit trail. Browse 600+ connectors in the MCP connector directory.
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"": {
""stripemcp"": {
""url"": ""https://mcp.scalekit.com/stripemcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.stripemcp]
url = ""https://mcp.scalekit.com/stripemcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""stripemcp"": {
""url"": ""https://mcp.scalekit.com/stripemcp"",
""type"": ""http""
}
}
}