Profound MCP connector for AI agents

Profound MCP tools for AI agents

CALL ANY TOOL

12 tools covering get.

profoundmcp_get_bots_report

Measure ai crawler activity against a domain over a date ran

Measure ai crawler activity against a domain over a date range, including bots such as gptbot and perplexitybot.

Parameters

Name

Type

Required

Description

domain

string

Required

Tracked domain using exact hostname from list_domains

end_date

string

Required

Window end in YYYY-MM-DD format (exclusive)

rationale

string

Required

Always provide a brief explanation of why you are calling this tool

start_date

string

Required

Window start in YYYY-MM-DD format (inclusive)

bot_name_filter

array

Optional

Narrow to specific bots

bot_provider_filter

array

Optional

Narrow to specific bot providers

profoundmcp_get_citations_report

See which sources ai engines cite for a category, and how of

profoundmcp_get_prompt_answers

Retrieve the actual answers ai engines gave for a category's

profoundmcp_get_referrals_report

Measure visits a domain received from ai engines, such as ch

profoundmcp_get_sentiment_report

Measure sentiment in ai answers for a category over a date r

profoundmcp_get_visibility_report

Measure how often and how prominently a brand appears in ai

profoundmcp_list_categories

List tracked categories, markets, or segments in an organiza

profoundmcp_list_domains

List tracked domains for an organization. domains are exact

profoundmcp_list_models

List the ai models profound tracks. use returned model ids t

profoundmcp_list_organizations

List the organizations the authenticated user can access. re

profoundmcp_list_prompts

List prompts configured in a category. prompts are the quest

profoundmcp_list_regions

List geographic regions configured for an organization. omit

Build your Agent

Same auth pattern across every framework.

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="profoundmcp")

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

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

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/profoundmcp
// 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="profoundmcp")
# Connect to MCP at https://mcp.scalekit.com/profoundmcp
# Pass: Authorization: Bearer + token

Try these prompts

Paste any prompt into your agent to get started.

Get started

Copy the prompt

Copied

Confirm the authenticated user, organizations, regions, and entitlements available to this MCP session?

Copy the prompt

Copied

List topics available within a category for filtering prompts and reports?

Advanced

Copy the prompt

Copied

Measure how often and how prominently a brand appears in AI answers for a category over a date range?

SEE HOW AUTH WORKS

User authorises once. Every agent call after uses their token with scope enforcement.

Authorize

Your user connects

Profound 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

Profound 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

Profound 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

Profound 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.

SALES

Outbound prospecting agent

Build targeted prospect lists with Apollo, enrich with firmographic data, and draft personalised outreach. Runs on a schedule.

Apollo

View agent

GTM

HubSpot to Slack updates agent

Watch HubSpot deal stage changes and post structured updates to the right Slack channel. Reps stop checking the CRM all day.

HubSpot

Slack

View agent

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought.

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 Profound 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 Profound 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 Profound?
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 Profound.

What happens when a user revokes Profound 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 brands' AI visibility reports can the agent pull?
Only brands in the authorizing user's Profound workspace. Citations, sentiment, and visibility reports inherit workspace membership per request.

On this page

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