Outreach

Live

OAUTH 2.0

SALES ENGAGEMENT

CRM & Sales

Every prospect, sequence, and outreach activity your team runs lives in Outreach. Outreach MCP gives your agent authenticated access to sales engagement data scoped to the user who authorized it.

  • Acts as the user: Access and write actions stay tied to the Outreach account that authorized the agent.
  • Credentials stay vaulted: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: User permissions enforced. 90-day audit trail.
Outreach
agent · Acme Q3
Run
Which sequences have reply rates above 10% this month and how many prospects are active in each?
S
outreach_sequences_list
83ms
Sales engagement agent
3 sequences above 10% reply rate. Cold Outbound v3 (14.2%, 480 active), Champion Change (11.8%, 120 active), Re-Engage 90d (10.4%, 320 active). All outperforming the 8% org benchmark.
Sources: 3 sequences, this month
outreachmcp
3 sequences
18:29
Message Claude...

Tools your sales engagement agent reaches for on Outreach, scoped per user.

CALL ANY TOOL
List sequences and prospects, retrieve activity history, create new prospects, and track open tasks.
outreach_account_note_create
Create account note
Add a note to an account in Outreach, e.g. to log a meeting, call, or general observation.
Parameters
Name
Type
Required
Description
account_id
integer
Required
ID of the account to attach this note to
message
string
Required
Text content of the note
note_type
string
Optional
Context of the note. One of 'note', 'call', 'coffee', 'beer', 'meeting'
opportunity_id
integer
Optional
ID of an opportunity to associate this note with
pinned
boolean
Optional
Whether to pin this note to the top of the account's note list
outreach_account_notes_list
List account notes
outreach_accounts_delete
Delete accounts
outreach_accounts_get
Get accounts
outreach_accounts_update
Update accounts
outreach_call_dispositions_list
List call dispositions
outreach_calls_create
Create calls
outreach_email_address_delete
Delete email address
outreach_email_address_get
Get email address
outreach_email_addresses_list
List email addresses
outreach_opportunities_get
Get opportunities
outreach_opportunities_list
List opportunities
outreach_opportunities_update
Update opportunities
outreach_prospect_note_create
Create prospect note
outreach_prospect_note_delete
Delete prospect note
outreach_prospects_list
List prospects
outreach_sequence_activate
Activate sequence
outreach_sequence_state_resume
Resume sequence state
outreach_sequence_step_create
Create sequence step
outreach_sequence_steps_get
Get sequence steps
outreach_sequence_steps_list
List sequence steps
outreach_sequences_delete
Delete sequences
outreach_sequences_update
Update sequences
outreach_snippet_get
Get snippet
outreach_stages_list
List stages
outreach_tasks_create
Create tasks
outreach_tasks_delete
Delete tasks
outreach_tasks_update
Update tasks
outreach_templates_get
Get templates
outreach_templates_list
List templates

For more tools, view docs.

Build your Agent
Drop the toolkit in, point it at the user, and your sales engagement agent can use Outreach from the first run.
Python · LlamaIndex
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: ["outreach"], toolNames: ["outreach_sequences_list", "outreach_prospects_list", "outreach_prospects_get"] },
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: ["outreach"], toolNames: ["outreach_sequences_list", "outreach_prospects_list", "outreach_prospects_get"] },
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: ["outreach"], toolNames: ["outreach_sequences_list", "outreach_prospects_list", "outreach_prospects_get"] },
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/outreach",
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 Outreach.
Sequences & prospects
Copy the prompt
Copied
List all active sequences.
Copy the prompt
Copied
Which sequences have reply rate above 10%?
Copy the prompt
Copied
List prospects in [sequence name].
Copy the prompt
Copied
Get activity for prospect [email].
Action & creation
Copy the prompt
Copied
Create a prospect: [name], [email], account [id].
Copy the prompt
Copied
List open tasks assigned to me.
Copy the prompt
Copied
Find prospects with no activity in 14 days.
Copy the prompt
Copied
Get stats for [sequence name].
Reporting
Copy the prompt
Copied
Top 3 sequences by reply rate this month.
Copy the prompt
Copied
Prospect reply rate by owner.
Copy the prompt
Copied
Which accounts have most active prospects?
Copy the prompt
Copied
Tasks overdue today.
SEE HOW AUTH WORKS
Users authorize Outreach once. Their credentials stay vaulted, every call is checked, and every action is logged.
1
Authorize
Your user connects
Outreach
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
Outreach
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
Outreach
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
Outreach
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 sales engagement 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
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
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
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.
Test other agents
Same per-user auth pattern across other sales engagement agents and MCP connectors. Working code, live demos, fork what fits.
SALES
Outbound prospecting agent
Search Apollo for ICP matches, rank them, draft personalised Gmail outreach, and log every send to Google Sheets.
SALES
Sales call prep agent
Read tomorrow's calls from Google Calendar, mine Granola notes and Attio history, and deliver each rep a prep brief in Slack.
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.
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.
Outreach 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 Outreach 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 Outreach 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 Outreach?
Yes. Pass a tool name filter to listScopedTools so the sales engagement agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Outreach.
What happens when a user revokes Outreach 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 prospects into sequences owned by other reps?
Only if the authorizing user has the Outreach permissions to manage others' sequences. Admins and managers can enroll into team sequences; reps are limited to their own. Outreach role-based permissions carry over to every agent call.
What other MCP connectors does Scalekit support?
Scalekit runs the Pipedrive MCP server, Clarify MCP server, and Affinity MCP server on the same per-user auth, token vault, and audit trail. Browse 500+ connectors in the MCP connector directory.
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"": {
""outreach"": {
""url"": ""https://mcp.scalekit.com/outreach"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.outreach]
url = ""https://mcp.scalekit.com/outreach""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""outreach"": {
""url"": ""https://mcp.scalekit.com/outreach"",
""type"": ""http""
}
}
}