Freshdesk

Live

BASIC AUTH

SUPPORT

Customer Support

Support queues do not stop. Your agent can read, update, and respond to Freshdesk tickets, scoped to the queue the support agent owns.

  • Acts as the agent: Ticket access and actions stay tied to the Freshdesk agent who authorized the workflow.
  • Credentials stay vaulted: AES-256, resolved at request time, never in LLM context.
  • Scoped before every call: Agent permissions enforced. 90-day audit trail.
Freshdesk
agent · Acme Q3
Run
Show me all high-priority open tickets without a reply in the last 48 hours.
S
freshdesk_tickets_list
79ms
Support agent
3 high-priority tickets awaiting reply: #2041 (API outage, 50h), #2038 (billing error, 44h), #2035 (data import failed, 38h).
Sources: 3 tickets, last 48 hours
freshdeskmcp
3 tickets
18:29
Message Claude...

Tools your support agent reaches for on Freshdesk, scoped per user.

CALL ANY TOOL
Create, update, and reply to tickets. Manage agents and contacts. Same toolkit, every framework, no auth plumbing.
freshdesk_tickets_list
List tickets
List Freshdesk tickets with optional filters for status, priority, and agent assignment.
Parameters
Name
Type
Required
Description
filter
string
Optional
Predefined filter: new_and_my_open, watching, spam, deleted
page
integer
Optional
Pagination page number
per_page
integer
Optional
Results per page (max 100)
freshdesk_ticket_get
Get ticket
freshdesk_ticket_create
Create ticket
freshdesk_ticket_update
Update ticket
freshdesk_tickets_reply
Reply to ticket
freshdesk_contact_create
Create contact
Build your Agent
Drop the toolkit in, point it at the agent, and your automation can triage, reply, and escalate Freshdesk tickets 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: ["freshdesk"], toolNames: ["freshdesk_tickets_list", "freshdesk_ticket_get", "freshdesk_tickets_reply"] },
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: ["freshdesk"], toolNames: ["freshdesk_tickets_list", "freshdesk_ticket_get", "freshdesk_tickets_reply"] },
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: ["freshdesk"], toolNames: ["freshdesk_tickets_list", "freshdesk_ticket_get", "freshdesk_tickets_reply"] },
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/freshdesk",
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 automate Freshdesk support workflows.
Triage & escalation
Copy the prompt
Copied
List all high-priority open tickets without a reply in 48 hours.
Copy the prompt
Copied
Find all tickets from [company name] with status open.
Copy the prompt
Copied
Show me all urgent tickets created today.
Copy the prompt
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Which tickets are unassigned with priority high?
Action & replies
Copy the prompt
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Reply to ticket #[id]: [response text].
Copy the prompt
Copied
Update ticket #[id] status to resolved.
Copy the prompt
Copied
Assign ticket #[id] to agent [name].
Copy the prompt
Copied
Add a private note to ticket #[id]: [note].
Reporting & insights
Copy the prompt
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How many open tickets do we have by priority?
Copy the prompt
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List all tickets created this week by status.
Copy the prompt
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What is the breakdown of tickets by type today?
Copy the prompt
Copied
Show all tickets assigned to [agent name].
SEE HOW AUTH WORKS
Users authorize Freshdesk once. Their help desk credentials stay vaulted, every call is checked, and every action is logged.
1
Authorize
Your user connects
Freshdesk
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
Freshdesk
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
Freshdesk
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
Freshdesk
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 support agents and MCP connectors. Working code, live demos, fork what fits.
SUPPORT
Freshdesk CSAT follow-up agent
Google ADK agent that watches low CSAT scores in Freshdesk and drafts personalised follow-ups for support leads.
SUPPORT
Support triage agent
Read Zendesk tickets, fetch runbooks from Notion, and route to the right Slack channel with a drafted response.
Why Scalekit
Secure your agent's access. Connectors ship in minutes
Other connector libraries treat auth as a demo afterthought. Scalekit starts with agent identity, scope enforcement, and audit.
01.
Tickets lose per-agent SLA attribution
A shared Freshdesk API key looks fine in a demo. In production, every ticket reply and escalation logs as the integration account. Per-agent queue metrics break. SLA accountability breaks. Scalekit resolves the support agent's own key, so Freshdesk tracks the right person on every action.
// shared bot API key
token = "freshdesk_api_shared_xxx"
audit → bot_service_account
agent_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.
Freshdesk today. Zendesk, Intercom, ServiceNow 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 Freshdesk 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 Freshdesk basic auth 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 Freshdesk?
Yes. Pass a tool name filter to listScopedTools so the support agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches Freshdesk.
What happens when a user revokes Freshdesk 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.
How does the connector handle the Freshdesk domain per tenant?
Each connected account stores its own Freshdesk domain. Proxy calls auto-resolve the domain from the connected account, so the agent never hardcodes a subdomain. Multi-tenant support is built in.
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"": {
""freshdesk"": {
""url"": ""https://mcp.scalekit.com/freshdesk"",
""headers"": { ""Authorization"": ""Bearer $SCALEKIT_TOKEN"" }
}
}
}
Codex Code REPL
# ~/.codex/config.toml
[mcp_servers.freshdesk]
url = ""https://mcp.scalekit.com/freshdesk""
auth_env = ""SCALEKIT_TOKEN""
Copilot Code REPL
# .vscode/mcp.json
{
""servers"": {
""freshdesk"": {
""url"": ""https://mcp.scalekit.com/freshdesk"",
""type"": ""http""
}
}
}