Clarify MCP | API Key Clarify MCP connector for AI agents

Tools your crm agent reaches for on Clarify MCP, scoped per user.

CALL ANY TOOL

List contacts and companies, create and update records, add notes, and track relationship activity.

clarifymcp_get_lists

Get lists

List saved views (dynamic lists) for an entity type, or fetch a single list by ID.

Parameters

Name

Type

Required

Description

entity

string

Required

The entity type to operate on (e.g. person, company, deal, or a custom object identifier like c_my_object).

limit

number

Optional

Maximum number of records to return per page.

list_id

string

Optional

The ID of an existing list (saved view). Use get_lists to find available list IDs.

offset

number

Optional

Number of records to skip for pagination (use with limit).

string

Optional

Case-insensitive substring search to filter results by name or title.

clarifymcp_send_email

Send email

clarifymcp_get_agents

Get agents

clarifymcp_add_comment

Add comment

clarifymcp_get_schema

Get schema

clarifymcp_create_campaign

Create campaign

clarifymcp_get_records

Get records

clarifymcp_update_campaign

Update campaign

clarifymcp_get_campaigns

Get campaigns

clarifymcp_create_email_draft

Create email draft

clarifymcp_get_agent_runs

Get agent runs

clarifymcp_create_or_update_list

Create or update list

clarifymcp_get_current_user

Get current user

clarifymcp_create_or_update_agent

Create or update agent

clarifymcp_get_calendar_events

Get calendar events

clarifymcp_create_or_update_fields

Create or update fields

clarifymcp_get_campaign_recipients

Get campaign recipients

clarifymcp_create_or_update_records

Create or update records

clarifymcp_find_leads

Find leads

clarifymcp_create_or_update_campaign

Create or update campaign

clarifymcp_query_data

Query data

clarifymcp_create_or_update_custom_object

Create or update custom object

clarifymcp_import_leads

Import leads

clarifymcp_create_or_update_calendar_event

Create or update calendar event

clarifymcp_read_context

Read context

clarifymcp_manage_access

Manage access

clarifymcp_merge_records

Merge records

clarifymcp_query_analytics

Query analytics

clarifymcp_submit_feedback

Submit feedback

clarifymcp_import_meeting_transcript

Import meeting transcript

Build your Agent

Drop the toolkit in, point it at the user, and your crm agent can use Clarify MCP 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: ["clarifymcp"], toolNames: ["clarify_contacts_list", "clarify_contact_get", "clarify_contact_create"] },
  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: ["clarifymcp"], toolNames: ["clarify_contacts_list", "clarify_contact_get", "clarify_contact_create"] },
  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: ["clarifymcp"], toolNames: ["clarify_contacts_list", "clarify_contact_get", "clarify_contact_create"] },
  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/clarifymcp",
    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 Clarify MCP.

Search & recall

Copy the prompt

Copied

Find contacts at [company name].

Copy the prompt

Copied

List companies in [industry] sector.

Copy the prompt

Copied

Search for [person name] in Clarify.

Copy the prompt

Copied

Which contacts have had no activity in 30 days?

Action & updates

Copy the prompt

Copied

Create a contact: [name], [email], [company].

Copy the prompt

Copied

Add a note to [contact]: [text].

Copy the prompt

Copied

Update the title of [contact] to [title].

Copy the prompt

Copied

Create a company: [name], [domain].

Pipeline & reporting

Copy the prompt

Copied

Which companies have no contacts?

Copy the prompt

Copied

Contacts added this week.

Copy the prompt

Copied

List all companies with deal value above [$amount].

Copy the prompt

Copied

Which contacts are at Series B companies?

SEE HOW AUTH WORKS

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

Authorize

Your user connects

Clarify 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

Clarify 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

Clarify 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

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

GTM and RevOps Teams

CRM AI agent

Reads the Granola transcript after every call, extracts next steps and updates the HubSpot record, drafts the follow-up in Gmail, and confirms in Slack, all on the rep's own delegated OAuth.

GTM and RevOps Teams

Sales call prep agent

Reads tomorrow's calls from Google Calendar, mines past Granola notes and Attio history for context, and delivers each rep a prep brief in Slack, scoped to the calls that rep actually owns.

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.

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.

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.

Clarify 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 access Clarify MCP 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 Clarify MCP api key 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 Clarify MCP?

Yes. Pass a tool name filter to listScopedTools so the CRM agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Clarify MCP.

What happens when a user revokes Clarify MCP 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 Clarify workspace member permissions?

Yes. Every call runs as the authorizing user with their Clarify role. Contact and company visibility, field access, and workspace scoping all apply. Cross-workspace data is denied at the source.

On this page

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