Monday MCP

Live

OAUTH 2.0

PROJECT MANAGEMENT

Project Management

Connect to the monday.com MCP server to manage boards, items, columns, docs, and workflows directly from your AI agents.

  • Acts as the user: Every tool call runs as the authorizing user. Access and audit trail stay intact.
  • Credentials stay vaulted: AES-256 encrypted, resolved at request time, never stored in LLM context.
  • Scoped before every call: Per-user permissions enforced automatically. 90-day audit trail included.
Monday MCP
agent · Acme Q3
Run
Agentcatalog in Monday MCP
S
mondaymcp_agentcatalog
85ms
Monday MCP agent
Browse the account-wide catalog of available trigger types and skills for monday platform agents. read-only — no agent.
Sources: Monday MCP
mondaymcpmcp
1 tool call
18:29
Message Claude...

Monday MCP tools for AI agents

CALL ANY TOOL
12 tools covering allwidgetsschema, agentcatalog, allmondayapi.
mondaymcp_agentcatalog
Browse the account-wide catalog of available trigger types a
Browse the account-wide catalog of available trigger types and skills for monday platform agents. read-only — no agent_id required. use this tool to discover what's available before wiring anything to a specific agent. actions: - list_triggers: { block_reference_ids? } — returns available trigger types. each entry has block_reference_id (required for manage_agent_triggers action:"add"), name, description, field_schemas (describes field_values shape), and required_fields (fields to collect from the user). note: only triggers that can be added programmatically appear here. oauth/3rd-party triggers (slack, gmail, salesforce, etc.) require user setup in the monday.com ui and will not appear here. - list_skills: {} — returns available skills with id, name, description. never guess or invent a skill id — always look it up here before calling manage_agent_skills action:"add". usage examples: - list all trigger types: { "action": "list_triggers" } - fetch specific trigger: { "action": "list_triggers", "block_reference_ids": ["some-block-ref-id"] } - list all skills: { "action": "list_skills" } related tools: - manage_agent_triggers — use block_reference_id from list_triggers to attach a trigger to a specific agent - manage_agent_skills — use skill id from list_skills, or action:"create" to author a new skill, then attach to an agent - manage_agent — manage the agent entity itself (create, update, delete, activate, etc.)
Parameters
Name
Type
Required
Description
action
string
Required
"list_triggers" — fetch available trigger types with block_reference_id, field_schemas, and required_fields. Call before using manage_agent_triggers action:"add". "list_skills" — fetch available skills with id, name, description. Call before using manage_agent_skills action:"add".
block_reference_ids
array
Optional
Used with action:"list_triggers". Fetch specific trigger types by block_reference_id. Omit to return all trigger types.
mondaymcp_allmondayapi
Execute any monday.com api operation by generating graphql q
mondaymcp_allwidgetsschema
Fetch complete json schema 7 definitions for all available w
mondaymcp_boardinsights
This tool allows you to calculate insights about board's dat
mondaymcp_changeitemcolumnvalues
Change the column values of an item in a monday.com board. [
mondaymcp_createautomation
creates an automation on a monday board from a structur
mondaymcp_createboard
Create a monday.com board
mondaymcp_createcolumn
Create a new column in a monday.com board
mondaymcp_createdashboard
Use this tool to create a new monday.com dashboard that aggr
mondaymcp_createdoc
Create a new monday.com doc either inside a workspace or att
mondaymcp_createfolder
Create a new folder in a monday.com workspace
mondaymcp_createform
Create a monday.com form. also creates a backing board to st
Build your Agent
Same auth pattern across LangChain, OpenAI, Anthropic, and Google ADK.
Python · LlamaIndex
from langchain_mcp_adapters.client import MultiServerMCPClient
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="mondaymcp")

mcp = MultiServerMCPClient({
"mondaymcp": {
"url": "https://mcp.scalekit.com/mondaymcp",
"headers": {"Authorization": "Bearer " + token}
}
})
tools = await mcp.get_tools()
import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "mondaymcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/mondaymcp
// Pass: Authorization: Bearer + token
import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "mondaymcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/mondaymcp
// Pass: Authorization: Bearer + token
from google.adk.agents import LlmAgent
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="mondaymcp")
# Connect to MCP at https://mcp.scalekit.com/mondaymcp
# Pass: Authorization: Bearer + token
Try these prompts
Copy any prompt into your agent. Each maps directly to a Monday tool. Click to copy, paste into your agent, done.
Get started
Copy the prompt
Copied
This tool returns the boards, docs and folders in a workspace and which folder they are in?
Copy the prompt
Copied
Update an existing workspace in monday.com?
Advanced
Copy the prompt
Copied
Updates an existing workflow draft using an AI agent?
Copy the prompt
Copied
Update an existing table-type board view — change its name, filters, sort, tags, or table-specific settings (column vi?
SEE HOW AUTH WORKS
Your users connect once. Their Monday credentials stay vaulted, every call is scope-checked, and every action is logged.
1
Authorize
Your user connects
Monday 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
Monday 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
Monday 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
Monday 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
See the same per-user auth pattern across other connectors.
ENGINEERING
Engineering standup agent
Aggregate GitHub and GitLab activity, link to Jira, and post a daily standup digest to Slack. No async updates.
ENGINEERING
Auto-release notes agent
Group merged GitHub PRs by feature, fix, or chore and publish release notes per tag. No manual changelog grooming.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
Other connector libraries treat auth as a demo afterthought. Scalekit starts with identity, scope enforcement, and audit. Connectors follow.
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.
// shared token
audit → bot_service_account

// scalekit
audit → user_abc ✓
02.
Authentication is not authorization
03.
Multi-tenancy is architectural
04.
One connector today. Ten 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 Monday 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 Monday OAuth token 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 Monday?
Yes. Pass a tool name filter to listScopedTools so the project management agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Monday.

What happens when a user revokes Monday 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.

Does the agent respect monday.com board permissions?
Yes. Board reads, column updates, and automations run as the authorizing user. Private boards, guest scopes, and workspace roles hold on every call.

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"": {
""mondaymcp"": {
""url"": ""https://mcp.scalekit.com/mondaymcp"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.mondaymcp]
url = ""https://mcp.scalekit.com/mondaymcp""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""mondaymcp"": {
""url"": ""https://mcp.scalekit.com/mondaymcp"",
""type"": ""http""
}
}
}