Adzviser MCP

Live

OAUTH 2.0

MARKETING

Marketing

Adzviser MCP gives agents real-time marketing analytics: query Google Ads, Meta, GA4, TikTok, and LinkedIn from one authenticated connection.

  • Per-user credentials: each call uses the actual user's token, never a shared bot.
  • Encrypted per-tenant vault: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: pre-call scope check, 90-day SIEM-exportable audit chain.
Adzviser MCP
agent · Acme Q3
Run
List Metrics And Breakdowns Activecampaign in Adzviser MCP
S
adzvisermcp_list_metrics_and_breakdowns_activecampaign
85ms
Adzviser MCP agent
Get the list of selectable activecampaign metrics, such as contacts, sends, opens, clicks, and breakdowns like campaign .
Sources: Adzviser MCP
adzvisermcpmcp
1 tool call
18:29
Message Claude...

Tools your agent reaches for on Adzviser, scoped per user.

CALL ANY TOOL
Query real-time metrics and breakdowns across 46+ ad and analytics platforms in one call.
adzvisermcp_list_workspace
List workspace
Retrieve a list of workspaces that have been created by the user and their data sources, such as Google Ads, Facebook Ads accounts connected with each.
Parameters
Name
Type
Required
Description
No parameters required
adzvisermcp_list_metrics_and_breakdowns_fb_post
List metrics and breakdowns fb post
adzvisermcp_list_metrics_fb_page
List metrics fb page
adzvisermcp_list_metrics_and_breakdowns_ig_post
List metrics and breakdowns ig post
adzvisermcp_list_countries_fb_ad_library
List countries fb ad library
adzvisermcp_retrieve_reporting_data
Retrieve reporting data
adzvisermcp_list_metrics_and_breakdowns_ga4
List metrics and breakdowns ga4
adzvisermcp_list_metrics_and_breakdowns_ebay
List metrics and breakdowns ebay
adzvisermcp_list_metrics_and_breakdowns_mntn
List metrics and breakdowns mntn
adzvisermcp_list_metrics_and_breakdowns_zoho
List metrics and breakdowns zoho
adzvisermcp_list_metrics_and_breakdowns_cm360
List metrics and breakdowns cm360
adzvisermcp_list_metrics_and_breakdowns_dv360
List metrics and breakdowns dv360
adzvisermcp_list_metrics_and_breakdowns_sa360
List metrics and breakdowns sa360
adzvisermcp_list_metrics_and_breakdowns_adroll
List metrics and breakdowns adroll
adzvisermcp_list_metrics_and_breakdowns_matomo
List metrics and breakdowns matomo
adzvisermcp_list_metrics_and_breakdowns_hubspot
List metrics and breakdowns hubspot
adzvisermcp_list_metrics_and_breakdowns_klaviyo
List metrics and breakdowns klaviyo
adzvisermcp_list_metrics_and_breakdowns_marketo
List metrics and breakdowns marketo
adzvisermcp_list_metrics_and_breakdowns_shopify
List metrics and breakdowns shopify
adzvisermcp_list_metrics_and_breakdowns_youtube
List metrics and breakdowns youtube
adzvisermcp_list_metrics_and_breakdowns_callrail
List metrics and breakdowns callrail
adzvisermcp_list_metrics_and_breakdowns_omnisend
List metrics and breakdowns omnisend
adzvisermcp_list_metrics_and_breakdowns_mailchimp
List metrics and breakdowns mailchimp
adzvisermcp_list_metrics_and_breakdowns_pipedrive
List metrics and breakdowns pipedrive
adzvisermcp_list_countries_google_ads_transparency
List countries google ads transparency
adzvisermcp_list_metrics_and_breakdowns_salesforce
List metrics and breakdowns salesforce
adzvisermcp_list_metrics_and_breakdowns_bigcommerce
List metrics and breakdowns bigcommerce
adzvisermcp_list_metrics_and_breakdowns_activecampaign
List metrics and breakdowns activecampaign
adzvisermcp_list_metrics_and_breakdowns_x_ads
List metrics and breakdowns x ads
adzvisermcp_list_metrics_and_breakdowns_fb_ads
List metrics and breakdowns fb ads
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="adzvisermcp")

mcp = MultiServerMCPClient({
"adzvisermcp": {
"url": "https://mcp.scalekit.com/adzvisermcp",
"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: "adzvisermcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/adzvisermcp
// 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: "adzvisermcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/adzvisermcp
// 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="adzvisermcp")
# Connect to MCP at https://mcp.scalekit.com/adzvisermcp
# Pass: Authorization: Bearer + token
Try these prompts
Copy any prompt into your agent. Each maps directly to a Adzviser tool. Click to copy, paste into your agent, done.
Get started
Copy the prompt
Copied
Retrieve real-time reporting data from marketing channels like Google Ads, Facebook Ads and Google Analytics?
Copy the prompt
Copied
Retrieve a list of workspaces that have been created by the user and their data sources, such as Google Ads, Facebook Ad?
SEE HOW AUTH WORKS
Your users connect once. Their Adzviser credentials stay vaulted, every call is scope-checked, and every action is logged.
1
Authorize
Your user connects
Adzviser 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
Adzviser 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
Adzviser 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
Adzviser 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.
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 intelligence agent
Pulls recent Gong calls, scores deal risk with an LLM, cross-references the record in Attio, and DMs each owner their at-risk deals in Slack. Every read is scoped to that rep's own access.
Engineering Teams
Engineering standup agent
Pulls commits from GitHub and GitLab, tracks issue movement in Jira, and posts a per-engineer standup brief to Slack. Each engineer's activity is read on their own delegated OAuth.
GTM and RevOps Teams
Competitive intelligence briefing agent
Scans Gong calls for competitor mentions, matches each one to its Notion battlecard, and DMs every affected rep a single Slack digest per cycle. Every call runs as the PMM who owns the briefing, never a shared bot.
Test other agents
See the same per-user auth pattern across other connectors.
GTM
Revenue forecast agent
Score pipeline coverage against quota across Salesforce and HubSpot, post forecast commentary to Slack, log snapshots to Sheets.
SALES
Deal intelligence agent
Score Gong call risk with an LLM, cross-reference the Attio record, and DM each owner their at-risk deals in Slack.
ENGINEERING
Engineering standup agent
Pull commits from GitHub and GitLab, track Jira issue movement, and post a per-engineer standup brief to Slack.
GTM
Competitive intelligence briefing agent
Scan Gong calls for competitor mentions, match each one to its Notion battlecard, and DM every affected rep a single Slack digest.
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.
// 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 Adzviser 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 Adzviser 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 Adzviser?
Yes. Pass a tool name filter to listScopedTools so the marketing agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Adzviser.

What happens when a user revokes Adzviser 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.

Which ad accounts can the agent query metrics from?
Only accounts the authorizing user connected to Adzviser. Metrics across Google Ads, Meta, GA4, TikTok, and 40+ other platforms resolve per user, keeping client reporting isolated per marketer.

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