Freshdesk

Live

BASIC AUTH

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
Freshdesk 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 Freshdesk agent reaches for, 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";

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: t.tool.definition.input_schema,
func: async (args) => sk.tools.executeTool({
toolName: t.tool.definition.name, identifier: "user_123", toolInput: args,
}),
}));

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
Copied
Which tickets are unassigned with priority high?
Action & replies
Copy the prompt
Copied
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
Copied
How many open tickets do we have by priority?
Copy the prompt
Copied
List all tickets created this week by status.
Copy the prompt
Copied
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:
A’s meetings only
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
See the same per-user auth pattern across Zendesk and other support connectors.
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.
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.
Freshdesk today. Others tomorrow.
Capability
DIY
Scalekit AgentKit
Token storage
Build + maintain yourself
AES-256 vault, managed
Per-user isolation
Custom credential map
Per-tenant namespace, default
Scope enforcement
Manual checks or none
Per-request, pre-API call
Token refresh
Cron job you maintain
Automatic
Audit trail
Build your own logging
90-day, SIEM-exportable
New connector
New OAuth implementation
Same pattern, one config
Multi-framework
Per-framework adapter code
8 adapters included
“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
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""
}
}
}
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"" }
}
}
}
Windsurf 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""
}
}
}