Calendly MCP | OAuth Calendly connector for AI agents

Tools your scheduling agent reaches for on Calendly, scoped per user.

CALL ANY TOOL

List event types, scheduled events, and invitees. Cancel or inspect any booking.

calendly_event_types_list

List event types

List event types owned by the user with active status filter.

Parameters

Name

Type

Required

Description

active

boolean

Optional

Filter by active status

count

integer

Optional

Max event types

calendly_events_list

List scheduled events

calendly_event_get

Get event

calendly_invitees_list

List invitees

calendly_event_cancel

Cancel event

calendly_user_get

Get current user

Build your Agent

Drop the toolkit in, point it at the user, and your scheduling agent can use Calendly from the first run.

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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: ["calendly"], toolNames: ["calendly_user_get", "calendly_event_types_list", "calendly_events_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 });

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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: ["calendly"], toolNames: ["calendly_user_get", "calendly_event_types_list", "calendly_events_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: ["calendly"], toolNames: ["calendly_user_get", "calendly_event_types_list", "calendly_events_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 }],
});

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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/calendly",
    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 Calendly.

Search & recall

Copy the prompt

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What meetings do I have this week?

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Show me all active event types.

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List invitees for [event name].

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Get the meeting URL for tomorrow's first call.

Action & coordination

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Cancel the 3pm meeting tomorrow: reason [reason].

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Pull invitee responses for [event].

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List bookings on my [event type] this month.

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What is the last booking from [email]?

Reporting

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How many meetings did I host this week?

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Top 5 invitees by meeting count this month.

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Cancellation rate on [event type].

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Average lead time on bookings this quarter.

SEE HOW AUTH WORKS

Users authorize Calendly once. Their credentials stay vaulted, every call is checked, and every action is logged.

Authorize

Your user connects

Calendly

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

Store

Their

Calendly

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

Resolve

When your agent calls a

Calendly

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

Audit

Every

Calendly

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 scheduling agents and MCP connectors. Working code, live demos, fork what fits.

OPS

Email-to-calendar scheduling agent

Parse scheduling intent from Gmail threads and create Google Calendar events with the right attendees and timezone.

Gmail

Google Calendar

View agent

SALES

Sales call prep agent

Pull Granola notes and Attio contact history to draft a pre-call brief before every sales meeting. Zero rep input.

Granola

Attio

View agent

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with user identity, scope enforcement, and audit.

01.

Bookings created under the wrong identity

A shared Calendly token looks fine in a demo. In production, every event created and availability checked logs as a service account. Booking attribution breaks. Rep-level scheduling rules break. Scalekit resolves the actual user's token so every Calendly action is attributed correctly.

// 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.

Calendly today. Google Calendar, Zoom, Outlook 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

On this page

Tool and actions Framework Compatibility Starter Prompt Auth Lifecycle Try Other Agents Why Scalekit

Frequently Asked Questions

Does the agent access Calendly 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 Calendly oauth 2.0 stored?

Can I limit what the agent is allowed to do in Calendly?

What happens when a user revokes Calendly access?

Can the agent see other team members' bookings?

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

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/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack

Cursor Code REPL

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# ~/.cursor/mcp.json
{
""mcpServers"": {
""calendly"": {
""url"": ""https://mcp.scalekit.com/calendly"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}

Codex Code REPL

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# ~/.codex/config.toml
[mcp_servers.calendly]
url = ""https://mcp.scalekit.com/calendly""
auth_env = ""SCALEKIT_TOKEN""

Copilot Code REPL

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# .vscode/mcp.json
{
""servers"": {
""calendly"": {
""url"": ""https://mcp.scalekit.com/calendly"",
""type"": ""http""
}
}
}