Freshservice▌
by effytech
Automate IT support with AI assistants in Freshservice. Streamline workflows using it helpdesk software and it helpdesk
Enable AI assistants to manage IT service tickets and operations by integrating directly with Freshservice. Automate ticket creation, updates, and asset management to streamline your IT support workflows. Accelerate routine IT service tasks with seamless AI-driven interactions.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / IT support teams automating ticket workflows
- / Service desk managers streamlining ITSM operations
- / Organizations reducing manual IT support tasks
capabilities
- / Create and update IT service tickets
- / Manage requesters, agents, and groups
- / Handle canned responses and solution articles
- / Filter and search tickets by criteria
- / Manage changes and conversations
- / Access asset and product information
what it does
Connects AI assistants directly to Freshservice to automate IT service ticket management and operations. Handles ticket creation, updates, asset management, and other ITSM tasks through AI interactions.
about
Freshservice is a community-built MCP server published by effytech that provides AI assistants with tools and capabilities via the Model Context Protocol. Automate IT support with AI assistants in Freshservice. Streamline workflows using it helpdesk software and it helpdesk It is categorized under productivity, developer tools.
how to install
You can install Freshservice 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
Freshservice is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Freshservice MCP Server
Overview
A powerful MCP (Model Context Protocol) server implementation that seamlessly integrates with Freshservice, enabling AI models to interact with Freshservice modules and perform various IT service management operations. This integration bridge empowers your AI assistants to manage and resolve IT service tickets, streamlining your support workflow.
Key Features
- Enterprise-Grade Freshservice Integration: Direct, secure communication with Freshservice API endpoints
- AI Model Compatibility: Enables Claude and other AI models to execute service desk operations through Freshservice
- Automated ITSM Management: Efficiently handle ticket creation, updates, responses, and asset management
- Workflow Acceleration: Reduce manual intervention in routine IT service tasks
Supported Freshservice Modules
This MCP server currently supports operations across a wide range of Freshservice modules:
- Tickets
- Changes
- Conversations
- Products
- Requesters
- Agents
- Agent Groups
- Requester Groups
- Canned Responses
- Canned Response Folders
- Workspaces
- Solution Categories
- Solution Folders
- Solution Articles
Components & Tools
The server provides a comprehensive toolkit for Freshservice operations:
Ticket Management
| Tool | Description | Key Parameters |
|---|---|---|
create_ticket | Create new service tickets | subject, description, source, priority, status, email |
update_ticket | Update existing tickets | ticket_id, updates |
delete_ticket | Remove tickets | ticket_id |
filter_tickets | Find tickets matching criteria | query |
get_ticket_fields | Retrieve ticket field definitions | None |
get_tickets | List all tickets with pagination | page, per_page |
get_ticket_by_id | Retrieve single ticket details | ticket_id |
Change Management
| Tool | Description | Key Parameters |
|---|---|---|
get_changes | List all changes with pagination | page, per_page, query |
filter_changes | Filter changes with advanced queries | query, page, per_page |
get_change_by_id | Retrieve single change details | change_id |
create_change | Create new change request | requester_id, subject, description, priority, impact, status, risk, change_type |
update_change | Update existing change | change_id, change_fields |
close_change | Close change with result explanation | change_id, change_result_explanation |
delete_change | Remove change | change_id |
get_change_tasks | Get tasks for a change | change_id |
create_change_note | Add note to change | change_id, body |
🚨 Important: Query Syntax for Filtering
When using get_changes or filter_changes with the query parameter, the query string must be wrapped in double quotes for the Freshservice API to work correctly:
✅ CORRECT: "status:3", "approval_status:1 AND status:<6"
❌ WRONG: status:3 (will cause 500 Internal Server Error)
Common Query Examples:
"status:3"- Changes awaiting approval"approval_status:1"- Approved changes"approval_status:1 AND status:<6"- Approved changes that are not closed"planned_start_date:>'2025-07-14'"- Changes starting after specific date"status:3 AND priority:1"- High priority changes awaiting approval
Getting Started
Installing via Smithery
To install freshservice_mcp automatically via Smithery:
npx -y @smithery/cli install @effytech/freshservice_mcp --client claude
Prerequisites
- A Freshservice account (sign up at freshservice.com)
- Freshservice API key
uvxinstalled (pip install uvorbrew install uv)
Configuration
-
Generate your Freshservice API key from the admin panel:
- Navigate to Profile Settings → API Settings
- Copy your API key for configuration
-
Set up your domain and authentication details as shown below
Usage with Claude Desktop
- Install Claude Desktop from the official website
- Add the following configuration to your
claude_desktop_config.json:
"mcpServers": {
"freshservice-mcp": {
"command": "uvx",
"args": [
"freshservice-mcp"
],
"env": {
"FRESHSERVICE_APIKEY": "<YOUR_FRESHSERVICE_APIKEY>",
"FRESHSERVICE_DOMAIN": "<YOUR_FRESHSERVICE_DOMAIN>"
}
}
}
Important: Replace <YOUR_FRESHSERVICE_APIKEY> with your actual API key and <YOUR_FRESHSERVICE_DOMAIN> with your domain (e.g., yourcompany.freshservice.com)
Example Operations
Once configured, you can ask Claude to perform operations like:
Tickets:
- "Create a new incident ticket with subject 'Network connectivity issue in Marketing department' and description 'Users unable to connect to Wi-Fi in Marketing area', set priority to high"
- "List all critical incidents reported in the last 24 hours"
- "Update ticket #12345 status to resolved"
Changes:
- "Create a change request for scheduled server maintenance next Tuesday at 2 AM"
- "Update the status of change request #45678 to 'Approved'"
- "Close change #5092 with result explanation 'Successfully deployed to production. All tests passed.'"
- "List all pending changes"
Other Operations:
- "Show asset details for laptop with asset tag 'LT-2023-087'"
- "Create a solution article about password reset procedures"
Testing
For testing purposes, you can start the server manually:
uvx freshservice-mcp --env FRESHSERVICE_APIKEY=<your_api_key> --env FRESHSERVICE_DOMAIN=<your_domain>
Troubleshooting
- Verify your Freshservice API key and domain are correct
- Ensure proper network connectivity to Freshservice servers
- Check API rate limits and quotas
- Verify the
uvxcommand 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.
Additional Resources
<p align="center">Built with ❤️ by effy</p>
FAQ
- What is the Freshservice MCP server?
- Freshservice 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 Freshservice?
- This profile displays 63 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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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.
List & Promote Your MCP Server
Share your MCP server with the developer community
Ratings
4.6★★★★★63 reviews- ★★★★★Hassan Yang· Dec 28, 2024
We evaluated Freshservice against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Dec 24, 2024
We wired Freshservice into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Li Garcia· Dec 16, 2024
I recommend Freshservice for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Zara Brown· Dec 4, 2024
Freshservice is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Dev Gupta· Dec 4, 2024
Freshservice reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Hassan Park· Nov 23, 2024
We wired Freshservice into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Fatima Nasser· Nov 23, 2024
Useful MCP listing: Freshservice is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Aisha White· Nov 19, 2024
I recommend Freshservice for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Piyush G· Nov 15, 2024
Freshservice is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Li Johnson· Nov 11, 2024
Strong directory entry: Freshservice surfaces stars and publisher context so we could sanity-check maintenance before adopting.
showing 1-10 of 63