Skip to main content

Airbyte Freshdesk Connector for AI platforms

Project description

Freshdesk

The Freshdesk agent connector is a Python package that equips AI agents to interact with Freshdesk through strongly typed, well-documented tools. It's ready to use directly in your Python app, in an agent framework, or exposed through an MCP.

Connector for the Freshdesk customer support platform API (v2). Provides read access to helpdesk data including tickets, contacts, agents, groups, companies, roles, satisfaction ratings, surveys, time entries, and ticket fields. Freshdesk is a cloud-based customer support solution that enables companies to manage customer conversations across email, phone, chat, and social media.

Example questions

The Freshdesk connector is optimized to handle prompts like these.

  • List all open tickets in Freshdesk
  • Show me all agents in the support team
  • List all groups configured in Freshdesk
  • Get the details of ticket #26
  • Show me all companies in Freshdesk
  • List all roles defined in the helpdesk
  • Show me the ticket fields and their options
  • List time entries for tickets
  • What are the high priority tickets from last week?
  • Which tickets have breached their SLA due date?
  • Show me tickets assigned to agent {agent_name}
  • Find all tickets from company {company_name}
  • How many tickets were created this month by status?
  • What are the satisfaction ratings for resolved tickets?

Unsupported questions

The Freshdesk connector isn't currently able to handle prompts like these.

  • Create a new ticket in Freshdesk
  • Update the status of ticket #{ticket_id}
  • Delete a contact from Freshdesk
  • Assign a ticket to a different agent

Installation

uv pip install airbyte-agent-freshdesk

Usage

Connectors can run in open source or hosted mode.

Open source

In open source mode, you provide API credentials directly to the connector.

from airbyte_agent_freshdesk import FreshdeskConnector
from airbyte_agent_freshdesk.models import FreshdeskAuthConfig

connector = FreshdeskConnector(
    auth_config=FreshdeskAuthConfig(
        api_key="<Your Freshdesk API key (found in Profile Settings)>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@FreshdeskConnector.tool_utils
async def freshdesk_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Hosted

In hosted mode, API credentials are stored securely in Airbyte Cloud. You provide your Airbyte credentials instead. If your Airbyte client can access multiple organizations, also set organization_id.

This example assumes you've already authenticated your connector with Airbyte. See Authentication to learn more about authenticating. If you need a step-by-step guide, see the hosted execution tutorial.

from airbyte_agent_freshdesk import FreshdeskConnector, AirbyteAuthConfig

connector = FreshdeskConnector(
    auth_config=AirbyteAuthConfig(
        customer_name="<your_customer_name>",
        organization_id="<your_organization_id>",  # Optional for multi-org clients
        airbyte_client_id="<your-client-id>",
        airbyte_client_secret="<your-client-secret>"
    )
)

@agent.tool_plain # assumes you're using Pydantic AI
@FreshdeskConnector.tool_utils
async def freshdesk_execute(entity: str, action: str, params: dict | None = None):
    return await connector.execute(entity, action, params or {})

Full documentation

Entities and actions

This connector supports the following entities and actions. For more details, see this connector's full reference documentation.

Entity Actions
Tickets List, Get, Search
Contacts List, Get
Agents List, Get, Search
Groups List, Get, Search
Companies List, Get
Roles List, Get
Satisfaction Ratings List
Surveys List
Time Entries List
Ticket Fields List

Authentication

For all authentication options, see the connector's authentication documentation.

Freshdesk API docs

See the official Freshdesk API reference.

Version information

  • Package version: 0.1.18
  • Connector version: 1.0.2
  • Generated with Connector SDK commit SHA: 20f00dda69661bd8f1fe16371d553e41a819e109
  • Changelog: View changelog

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

airbyte_agent_freshdesk-0.1.18.tar.gz (161.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

airbyte_agent_freshdesk-0.1.18-py3-none-any.whl (187.3 kB view details)

Uploaded Python 3

File details

Details for the file airbyte_agent_freshdesk-0.1.18.tar.gz.

File metadata

  • Download URL: airbyte_agent_freshdesk-0.1.18.tar.gz
  • Upload date:
  • Size: 161.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for airbyte_agent_freshdesk-0.1.18.tar.gz
Algorithm Hash digest
SHA256 ac8ae2400b364f593abc3296a9b82fe39ed6bf0005ed51c3d0ba9f2fc319d13a
MD5 0846bf603c84022316dbc8c3215e0195
BLAKE2b-256 2fef281a8232f385ef7039ecbbadcd9ffe9cb53fe50e8ea17cd42733dbdb4907

See more details on using hashes here.

File details

Details for the file airbyte_agent_freshdesk-0.1.18-py3-none-any.whl.

File metadata

File hashes

Hashes for airbyte_agent_freshdesk-0.1.18-py3-none-any.whl
Algorithm Hash digest
SHA256 09012f9bb4ab31ad3959526f1c81e35482cc65e000baef7c17e637a3f55c4e42
MD5 6d46269fd393d3e65d52699fb58f885b
BLAKE2b-256 90d8ac34d4a21c14af366b872c941a5ae515db6bfdb16ccda173e6d7310f887f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page