Chorus MCP | Basic auth connector for AI agents

Tools your sales intelligence agent reaches for on Chorus, scoped per user.

CALL ANY TOOL

Search transcripts, surface topics, and pull AI-attributed insights from sales calls.

chorus_calls_list

List calls

List recorded calls with rep, account, and date filters.

Parameters

Name

Type

Required

Description

rep_email

string

Optional

Rep email filter

account_name

string

Optional

Account filter

start_date

string

Optional

ISO 8601 start

end_date

string

Optional

ISO 8601 end

chorus_call_get

Get call

chorus_call_topics

Get topics

chorus_call_transcript

Get transcript

chorus_search_transcripts

Search transcripts

Build your Agent

Drop the toolkit in, point it at the user, and your sales intelligence agent can use Chorus from the first run.

Copied

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: ["chorus"], toolNames: ["chorus_calls_list", "chorus_call_get", "chorus_call_topics"] },
  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 });

Copied

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: ["chorus"], toolNames: ["chorus_calls_list", "chorus_call_get", "chorus_call_topics"] },
  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: ["chorus"], toolNames: ["chorus_calls_list", "chorus_call_get", "chorus_call_topics"] },
  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 }],
});

Copied

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/chorus",
    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 Chorus.

Search & recall

Copy the prompt

Copied

Find calls mentioning [keyword] this week.

Copy the prompt

Copied

List all calls with [account name].

Copy the prompt

Copied

Show transcripts where [objection] came up.

Copy the prompt

Copied

Which reps had the most calls this month?

Insights & summaries

Copy the prompt

Copied

Summarize the last call with [account].

Copy the prompt

Copied

Get topics from [call name].

Copy the prompt

Copied

Compare topics across calls with [account].

Copy the prompt

Copied

Find next-step commitments in [call].

Coaching & reporting

Copy the prompt

Copied

Which calls had highest engagement scores?

Copy the prompt

Copied

List coaching opportunities for [rep].

Copy the prompt

Copied

Show all calls where [competitor] was mentioned.

Copy the prompt

Copied

Rank reps by talk-to-listen ratio this week.

SEE HOW AUTH WORKS

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

Authorize

Your user connects

Chorus

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

Chorus

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

Chorus

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

Chorus

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

SALES

Deal intelligence agent

Combine Gong, Attio, and Slack signals to surface deal risks and next-best actions. Updated after every call.

SALES

Sales call prep agent

Pull Granola notes and Attio contact history to draft a pre-call brief before every sales meeting. Zero rep input.

Granola

Attio

View agent

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with user identity, scope enforcement, and audit.

01.

Coaching data loses rep attribution

A shared Chorus API key looks fine in a demo. In production, every call retrieved looks like it came from a service account. Audit logs break. Per-rep scoping breaks. Scalekit resolves the credential of the actual user who triggered the agent, never a shared bot.

// shared bot API key
token = "chorus_api_shared_xxx"
audit → bot_service_account
rep_filter → broken

// scalekit · per-user
token = resolve(user_id)
audit → user_abc
scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

Chorus today. Gong, Salesforce, HubSpot 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

On this page

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

Frequently Asked Questions

Does the agent access Chorus 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 Chorus basic auth stored?

Can I limit what the agent is allowed to do in Chorus?

What happens when a user revokes Chorus access?

Which calls can the agent search across?

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

Copy Copied

/plugin marketplace add scalekit-inc/claude-code-authstack
/plugin install agentkit@scalekit-auth-stack

Cursor Code REPL

Copy Copied

# ~/.cursor/mcp.json
{
""mcpServers"": {
""chorus"": {
""url"": ""https://mcp.scalekit.com/chorus"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}

Codex Code REPL

Copy Copied

# ~/.codex/config.toml
[mcp_servers.chorus]
url = ""https://mcp.scalekit.com/chorus""
auth_env = ""SCALEKIT_TOKEN""

Copilot Code REPL

Copy Copied

# .vscode/mcp.json
{
""servers"": {
""chorus"": {
""url"": ""https://mcp.scalekit.com/chorus"",
""type"": ""http""
}
}
}