Airops MCP | API Key Airops MCP connector for AI agents

Tools your content agent reaches for on Airops, scoped per team member.

CALL ANY TOOL

API key scoped per user. Every workflow run attributed to the authorizing team member.

airopsmcp_accept_opportunity

Accept opportunity

Accept pending opportunities for a campaign and add them to the campaign action grid. For v2 campaigns, pass opportunity_ids; acceptance uses the original rationale and every opportunity context. Before calling this tool, summarize the opportunities or opportunity items that will be accepted and get explicit user confirmation.

Parameters

Name

Type

Required

Description

play_id

integer

Required

Campaign ID.

opportunity_ids

array

Optional

Opportunity IDs to accept. Required for v2; for v1 this accepts every pending item in each opportunity.

opportunity_item_ids

array

Optional

V1-only opportunity item IDs to accept. Use this for item-level acceptance.

airopsmcp_add_aeo_region

Add aeo region

airopsmcp_bulk_update_aeo_prompt_tags

Bulk update aeo prompt tags

airopsmcp_create_aeo_persona

Create aeo persona

airopsmcp_create_brand_kit_direct_upload

Upload create brand kit direct

airopsmcp_create_grid_sheet

Create grid sheet

airopsmcp_create_report

Create report

airopsmcp_delete_aeo_prompt

Delete aeo prompt

airopsmcp_delete_topic

Delete topic

airopsmcp_get_aeo_citation

Get aeo citation

airopsmcp_get_answer

Get answer

airopsmcp_get_grid_row_execution_status

Get grid row execution status

airopsmcp_get_page_prompts

Get page prompts

airopsmcp_get_sentiment_theme_answers

Get sentiment theme answers

airopsmcp_knowledge_base_update_document_metadata

Knowledge base update document metadata

airopsmcp_list_aeo_citations

List aeo citations

airopsmcp_list_aeo_prompts

List aeo prompts

airopsmcp_list_campaigns

List campaigns

airopsmcp_list_opportunities

List opportunities

airopsmcp_list_reports

List reports

airopsmcp_manage_brand_kit_audience

Manage brand kit audience

airopsmcp_manage_brand_kit_font

Manage brand kit font

airopsmcp_manage_brand_kit_product_line

Manage brand kit product line

airopsmcp_manage_brand_kit_visual_use_case

Manage brand kit visual use case

airopsmcp_publish_brand_kit

Publish brand kit

airopsmcp_query_analytics

Query analytics

airopsmcp_read_grid

Read grid

airopsmcp_run_grid_rows

Run grid rows

airopsmcp_search_knowledge_base

Search knowledge base

airopsmcp_update_aeo_tag

Update aeo tag

For more tools, view docs.

Build your Agent

Drop the toolkit in, point it at the authorized team member, and your agent can run Airops workflows and access brand kits from the first run.

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: ["airopsmcp"], toolNames: ["airops_workflow_run", "airops_brand_kit_get", "airops_templates_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: ["airopsmcp"], toolNames: ["airops_workflow_run", "airops_brand_kit_get", "airops_templates_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: ["airopsmcp"], toolNames: ["airops_workflow_run", "airops_brand_kit_get", "airops_templates_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/airopsmcp",
    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 content agent to start running Airops workflows and accessing brand assets.

Search & recall

Copy the prompt

Copied

List all content templates available in my workspace.

Copy the prompt

Copied

Get our brand voice guidelines and approved terminology.

Copy the prompt

Copied

Show the last 5 workflow runs and their output status.

Action & create

Copy the prompt

Copied

Run the [workflow name] workflow with these inputs: [inputs].

Copy the prompt

Copied

Generate a blog post draft for [topic] using our brand voice template.

Copy the prompt

Copied

Create social media captions for [campaign] following our brand guidelines.

SEE HOW AUTH WORKS

Team members authorize Airops once. Their API key stays vaulted, every workflow run is scoped to their workspace permissions, and every action is logged.

Authorize

Your user connects

AirOps 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

Store

Their

AirOps 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

Resolve

When your agent calls a

AirOps 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

Audit

Every

AirOps 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 content and AI workflow connectors.

Engineering Teams

Slack triage

Polls Slack for new messages, classifies bugs and support requests with a LangGraph router, files GitHub issues or Zendesk tickets, and confirms in the thread.

Support and Ops Teams

Support ticket automation agent

Fetches new Zendesk tickets, drafts a reply from Notion knowledge base articles, digests what it cannot answer to Slack, and archives the rest, acting as the support agent rather than a shared API key.

Engineering Teams

DevOps assistant agent

Polls GitHub for failing checks and stale PRs, opens Linear issues for the ones that need work, and posts a daily digest to Slack. It acts as the engineer, not a shared service account.

Support and Ops Teams

Email-to-calendar agent

Reads scheduling intent out of Gmail threads, resolves the times everyone actually has free, and creates the event on the user's own Google Calendar. No shared service account.

Gmail

Google Calendar

View agent

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.

Airops 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 use a shared Airops key or per-user keys?

Per-user keys. Each team member provisions their own Airops API key and Scalekit vaults it under their identity. Workflow runs are attributed to that user, not a shared team credential.

Where is the Airops API key stored?

In Scalekit's AES-256 vault, namespaced per tenant. Keys resolve at request time and never appear in prompts, logs, or LLM completions.

Can I restrict which Airops workflows the agent can execute?

Yes. Use listScopedTools with a tool name filter to allow only specific workflow types, for example, email drafting but not social media publishing, for a given user.

What happens when a user's Airops key is revoked?

The next tool call fails closed for that user with a clear error. Other users in the workspace continue unaffected. Revocation is logged with a timestamp.

Can one agent run Airops workflows for multiple users?

Yes. Scalekit resolves the credential for each user identifier at call time. A single agent deployment serves all users in a tenant, each with their own scoped Airops access.

On this page

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