Apollo MCP

Live

OAUTH 2.0

CRM & SALES

Marketing

Connect to Apollo MCP to search B2B contacts, enrich people and organizations, manage CRM records, and enroll prospects in sequences.

  • 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.
Apollo MCP
agent · Acme Q3
Run
Apollo Accounts Bulk Create in Apollo MCP
S
apollomcp_apollo_accounts_bulk_create
85ms
Apollo MCP agent
Create multiple accounts (companies) in a single call by passing an array of account objects. no deduplication is applie.
Sources: Apollo MCP
apollomcpmcp
1 tool call
18:29
Message Claude...

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

CALL ANY TOOL
Search, enrich, and sequence B2B contacts and accounts, billed to the requesting user's seat.
apollomcp_apollo_tasks_show
Apollo tasks show
Fetch the full detail of a single task by ID, including the action to perform (e.g. the LinkedIn message body or call script), the associated contact, and : for tasks that belong to a sequence : the sequence name and step position. Call this before completing or skipping a task to see what it asks you to do.
Parameters
Name
Type
Required
Description
id
string
Required
Apollo ID of the task to fetch. Use an ID returned by Search Tasks.
_conversation_ref
string
Optional
Short random token generated on your first call in a conversation; reuse the exact same value on every subsequent call to group related tool calls for analytics.
_rationale
string
Optional
Describe the user's intent and why this tool was selected in general terms only; do not include specific field values, names, emails, or other data.
body_format
string
Optional
For an email task, the format of the emailer_message.body in the response: plain (default) for readable plain text, or html for the raw HTML body.
apollomcp_apollo_tasks_create
Apollo tasks create
apollomcp_apollo_tasks_skip
Apollo tasks skip
apollomcp_apollo_tasks_search
Apollo tasks search
apollomcp_apollo_feedback_log
Apollo feedback log
apollomcp_apollo_tasks_update
Apollo tasks update
apollomcp_apollo_fields_index
Apollo fields index
apollomcp_apollo_labels_create
Apollo labels create
apollomcp_apollo_labels_index
Apollo labels index
apollomcp_apollo_labels_update
Apollo labels update
apollomcp_apollo_people_match
Apollo people match
apollomcp_apollo_accounts_create
Apollo accounts create
apollomcp_apollo_tasks_complete
Apollo tasks complete
apollomcp_apollo_accounts_update
Apollo accounts update
apollomcp_apollo_contacts_create
Apollo contacts create
apollomcp_apollo_contacts_search
Apollo contacts search
apollomcp_apollo_contacts_update
Apollo contacts update
apollomcp_apollo_sequences_create
Apollo sequences create
apollomcp_apollo_sequences_update
Apollo sequences update
apollomcp_apollo_conversations_search
Apollo conversations search
apollomcp_apollo_organizations_enrich
Apollo organizations enrich
apollomcp_apollo_tasks_bulk_create
Apollo tasks bulk create
apollomcp_apollo_people_bulk_match
Apollo people bulk match
apollomcp_apollo_accounts_bulk_create
Apollo accounts bulk create
apollomcp_apollo_users_api_profile
Apollo users api profile
apollomcp_apollo_contacts_bulk_create
Apollo contacts bulk create
apollomcp_apollo_context_center_show
Apollo context center show
apollomcp_apollo_mixed_companies_search
Apollo mixed companies search
apollomcp_apollo_webhook_result_show
Apollo webhook result show
apollomcp_apollo_emailer_messages_create
Apollo emailer messages create
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="apollomcp")

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

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

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/apollomcp
// 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="apollomcp")
# Connect to MCP at https://mcp.scalekit.com/apollomcp
# Pass: Authorization: Bearer + token
Try these prompts
Copy any prompt into your agent. Each maps directly to a Apollo tool. Click to copy, paste into your agent, done.
Get started
Copy the prompt
Copied
Use the Profile endpoint to get the user’s profile information (name, email, title, id)?
Copy the prompt
Copied
Retrieve credit usage stats for the authenticated team — credits used, remaining, and reset windows for enrichment/peopl?
Advanced
Copy the prompt
Copied
Edit an existing task in place — change its title, note, priority, due date, assignee, or the message body (subject / bo?
Copy the prompt
Copied
Skip a single task without performing it?
SEE HOW AUTH WORKS
Your users connect once. Their Apollo credentials stay vaulted, every call is scope-checked, and every action is logged.
1
Authorize
Your user connects
Apollo 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
Apollo 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
Apollo 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
Apollo 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
Outbound prospecting agent
Searches Apollo for prospects matching your ICP, scores and ranks them, drafts personalized outreach in Gmail, and logs every send to Google Sheets. Mail goes out as the rep, not from a shared inbox.
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
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.
Test other agents
See the same per-user auth pattern across other connectors.
SALES
Outbound prospecting agent
Search Apollo for ICP matches, rank them, draft personalised Gmail outreach, and log every send to Google Sheets.
GTM
CRM AI agent
Turn each Granola call transcript into a HubSpot record update, a drafted Gmail follow-up, and a Slack recap.
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.
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 Apollo 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 Apollo 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 Apollo?
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 Apollo.

What happens when a user revokes Apollo 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.

Can the agent enroll contacts into Apollo sequences automatically?
Yes. Sequence enrollment runs with the authorizing user's Apollo seat and sender accounts. Adds, updates, and bulk creates all log that user's identity, keeping outbound compliant.

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