developer-tools

Freshdesk

effytech

by effytech

Automate support with Freshdesk! Use AI customer service to manage tickets, improve workflows, and elevate your customer

Integrate AI models with Freshdesk to automate support operations. Create, update, and manage support tickets seamlessly through the Freshdesk API. Enhance your customer support experience with automated ticket management and AI-driven interactions.

github stars

46

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Full CRUD operations on ticketsCustom fields supportAI model integration ready

best for

  • / Customer support teams automating ticket workflows
  • / AI-powered helpdesk automation
  • / Support operation managers tracking ticket metrics

capabilities

  • / Create support tickets with custom fields
  • / Update existing ticket status and details
  • / Search tickets by various criteria
  • / Delete tickets from the system
  • / Retrieve ticket field configurations
  • / List all support tickets with pagination

what it does

Connects AI models to Freshdesk's support platform for automated ticket management and customer service operations.

about

Freshdesk is a community-built MCP server published by effytech that provides AI assistants with tools and capabilities via the Model Context Protocol. Automate support with Freshdesk! Use AI customer service to manage tickets, improve workflows, and elevate your customer It is categorized under developer tools.

how to install

You can install Freshdesk in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Freshdesk is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

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
  • 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:

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:
"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 [email protected] 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:

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.

FAQ

What is the Freshdesk MCP server?
Freshdesk is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Freshdesk?
This profile displays 66 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.666 reviews
  • Emma Liu· Dec 28, 2024

    Useful MCP listing: Freshdesk is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Kwame Brown· Dec 24, 2024

    We wired Freshdesk into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Pratham Ware· Dec 20, 2024

    Freshdesk is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • James Nasser· Dec 20, 2024

    According to our notes, Freshdesk benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Aditi Sethi· Dec 20, 2024

    We evaluated Freshdesk against two servers with overlapping tools; this profile had the clearer scope statement.

  • Mia Gonzalez· Dec 16, 2024

    I recommend Freshdesk for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Lucas Sanchez· Nov 19, 2024

    Freshdesk is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Sakshi Patil· Nov 11, 2024

    We evaluated Freshdesk against two servers with overlapping tools; this profile had the clearer scope statement.

  • Ama Wang· Nov 11, 2024

    Freshdesk is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Mia Diallo· Nov 7, 2024

    Strong directory entry: Freshdesk surfaces stars and publisher context so we could sanity-check maintenance before adopting.

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