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  1. Home
  2. šŸŽ§ Support & Service Management
  3. Freshdesk MCP
Freshdesk MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 4:47:21 PM

Freshdesk MCP

User RatingsBe the first to rate and review this MCP server!
View Repository68 GitHub StarsTotal stargazers on GitHub for the source repository (68 stars).Visit Website

MCP server enabling AI models to manage Freshdesk support tickets, agents, contacts, and companies via Freshdesk API.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "effytech-freshdesk-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli"
      ]
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (28) Directory Badge Claim listing AlternativesšŸŽ§ More in Support & Service Management

Overview

This MCP server integrates with Freshdesk to allow AI models to interact with Freshdesk support modules. It supports creating, updating, deleting, and searching tickets, as well as managing agents, contacts, and companies. Use this server when you need to automate or augment Freshdesk support operations through AI-driven workflows.

Use cases

•Create and update support tickets automatically
•Search and retrieve ticket details and conversations
•Manage Freshdesk agents, contacts, and companies
•Add replies and notes to tickets programmatically
•Automate ticket summary management

Key features

•Create, update, delete, and search support tickets
•Retrieve and modify ticket conversations and summaries
•Manage agents including creation, update, and search
•Access and update contacts and companies data
•Supports pagination for listing tickets, agents, contacts, and companies

Capabilities & Tool Schemas (28) ~254 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Freshdesk MCP.

create_ticket

Create new support tickets

update_ticket

Update existing tickets

delete_ticket

Delete a ticket

search_tickets

Search for tickets based on criteria

get_ticket_fields

Get all ticket fields

get_tickets

Get all tickets

Documentation Overview

Freshdesk MCP Server

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Trust Score

An MCP server implementation that integrates with Freshdesk, enabling AI models to interact with Freshdesk modules and perform various support operations.

Features

  • Freshdesk Integration: Seamless interaction with Freshdesk API endpoints
  • AI Model Support: Enables AI models to perform support operations through Freshdesk
  • Automated Ticket Management: Handle ticket creation, updates, and responses

Components

Tools

The server offers several tools for Freshdesk operations:

  • create_ticket: Create new support tickets

    • Inputs:
      • subject (string, required): Ticket subject
      • description (string, required): Ticket description
      • source (number, required): Ticket source code
      • priority (number, required): Ticket priority level
      • status (number, required): Ticket status code
      • email (string, optional): Email of the requester
      • requester_id (number, optional): ID of the requester
      • custom_fields (object, optional): Custom fields to set on the ticket
      • additional_fields (object, optional): Additional top-level fields
  • update_ticket: Update existing tickets

    • Inputs:
      • ticket_id (number, required): ID of the ticket to update
      • ticket_fields (object, required): Fields to update
  • delete_ticket: Delete a ticket

    • Inputs:
      • ticket_id (number, required): ID of the ticket to delete
  • search_tickets: Search for tickets based on criteria

    • Inputs:
      • query (string, required): Search query string
  • get_ticket_fields: Get all ticket fields

    • Inputs:
      • None
  • get_tickets: Get all tickets

    • Inputs:
      • page (number, optional): Page number to fetch
      • per_page (number, optional): Number of tickets per page
  • get_ticket: Get a single ticket

    • Inputs:
      • ticket_id (number, required): ID of the ticket to get
  • get_ticket_conversation: Get conversation for a ticket

    • Inputs:
      • ticket_id (number, required): ID of the ticket
  • create_ticket_reply: Reply to a ticket

    • Inputs:
      • ticket_id (number, required): ID of the ticket
      • body (string, required): Content of the reply
      • cc_emails (array of strings, optional): Additional email addresses added to the 'cc' field of the outgoing email. These supplement the ticket requester, who always remains the primary recipient
      • bcc_emails (array of strings, optional): Additional email addresses added to the 'bcc' field of the outgoing email. These supplement the ticket requester, who always remains the primary recipient
      • from_email (string, optional): Email address the reply is sent from
      • user_id (number, optional): ID of the agent who is adding the reply
  • create_ticket_note: Add a note to a ticket

    • Inputs:
      • ticket_id (number, required): ID of the ticket
      • body (string, required): Content of the note
  • update_ticket_conversation: Update a conversation

    • Inputs:
      • conversation_id (number, required): ID of the conversation
      • body (string, required): Updated content
  • view_ticket_summary: Get the summary of a ticket

    • Inputs:
      • ticket_id (number, required): ID of the ticket
  • update_ticket_summary: Update the summary of a ticket

    • Inputs:
      • ticket_id (number, required): ID of the ticket
      • body (string, required): New summary content
  • delete_ticket_summary: Delete the summary of a ticket

    • Inputs:
      • ticket_id (number, required): ID of the ticket
  • get_agents: Get all agents

    • Inputs:
      • page (number, optional): Page number
      • per_page (number, optional): Number of agents per page
  • view_agent: Get a single agent

    • Inputs:
      • agent_id (number, required): ID of the agent
  • create_agent: Create a new agent

    • Inputs:
      • agent_fields (object, required): Agent details
  • update_agent: Update an agent

    • Inputs:
      • agent_id (number, required): ID of the agent
      • agent_fields (object, required): Fields to update
  • search_agents: Search for agents

    • Inputs:
      • query (string, required): Search query
  • list_contacts: Get all contacts

    • Inputs:
      • page (number, optional): Page number
      • per_page (number, optional): Contacts per page
  • get_contact: Get a single contact

    • Inputs:
      • contact_id (number, required): ID of the contact
  • search_contacts: Search for contacts

    • Inputs:
      • query (string, required): Search query
  • update_contact: Update a contact

    • Inputs:
      • contact_id (number, required): ID of the contact
      • contact_fields (object, required): Fields to update
  • list_companies: Get all companies

    • Inputs:
      • page (number, optional): Page number
      • per_page (number, optional): Companies per page
  • view_company: Get a single company

    • Inputs:
      • company_id (number, required): ID of the company
  • search_companies: Search for companies

    • Inputs:
      • query (string, required): Search query
  • find_company_by_name: Find a company by name

    • Inputs:
      • name (string, required): Company name
  • list_company_fields: Get all company fields

    • Inputs:
      • None

Getting Started

Installing via Smithery

To install freshdesk_mcp for Claude Desktop automatically via Smithery:

Terminal
npx -y @smithery/cli install @effytech/freshdesk_mcp --client claude

Prerequisites

  • A Freshdesk account (sign up at freshdesk.com)
  • Freshdesk API key
  • uvx installed (pip install uv or brew install uv)

Configuration

  1. Generate your Freshdesk API key from the Freshdesk admin panel
  2. Set up your domain and authentication details

Usage with Claude Desktop

  1. Install Claude Desktop if you haven't already
  2. Add the following configuration to your claude_desktop_config.json:
json
"mcpServers": {
  "freshdesk-mcp": {
    "command": "uvx",
    "args": [
        "freshdesk-mcp"
    ],
    "env": {
      "FRESHDESK_API_KEY": "<YOUR_FRESHDESK_API_KEY>",
      "FRESHDESK_DOMAIN": "<YOUR_FRESHDESK_DOMAIN>"
    }
  }
}

Important Notes:

  • Replace YOUR_FRESHDESK_API_KEY with your actual Freshdesk API key
  • Replace YOUR_FRESHDESK_DOMAIN with your Freshdesk domain (e.g., yourcompany.freshdesk.com)

Example Operations

Once configured, you can ask Claude to perform operations like:

  • "Create a new ticket with subject 'Payment Issue for customer A101' and description as 'Reaching out for a payment issue in the last month for customer A101', where customer email is a101@acme.com and set priority to high"
  • "Update the status of ticket #12345 to 'Resolved'"
  • "List all high-priority tickets assigned to the agent John Doe"
  • "List previous tickets of customer A101 in last 30 days"

Testing

For testing purposes, you can start the server manually:

bash
uvx freshdesk-mcp --env FRESHDESK_API_KEY=<your_api_key> --env FRESHDESK_DOMAIN=<your_domain>

Troubleshooting

  • Verify your Freshdesk API key and domain are correct
  • Ensure proper network connectivity to Freshdesk servers
  • Check API rate limits and quotas
  • Verify the uvx command is available in your PATH

License

This MCP server is licensed under the MIT License. See the LICENSE file in the project repository for full details.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
68
Stargazers on the source repository.
npm downloads
30k
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
28
Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Freshdesk MCP

AI models can create, update, delete, and search tickets; manage ticket conversations; handle agents, contacts, and companies; and update ticket summaries.

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Technical Specs & Signals

CategoryšŸŽ§Support & Service Management
More technical detailsExpand ā–¾
TransportSTDIO
RuntimeNode.js
Last updatedAug 7, 2026
11/11 checks healthy over the last 32d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars68
GitHub Star CountTotal stargazers on GitHub representing community popularity (68 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 30, 2026
npm downloads30,651/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
61Quality signal: Good Ā· 61/100How this signal is calculated ā–¾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools26/30
Adoption & activity10/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 14d ago via OSV.dev Ā· @smithery/cli (npm)

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