Hosted MCP Server for Atlassian Jira

Hosted MCP Server for Atlassian Jira

Integrate FlowHunt with Atlassian Jira via the Jira MCP Server to automate project management tasks, manage issues and sprints, and connect your AI workflows to real-time Jira data.

Capabilities

Host MCP Servers using FlowHunt

FlowHunt’s platform lets users create AI Agents for any service without the usual hassles of MCP servers. Host MCP servers for any service, automate workflows, connect with external tools, and use analytics to improve performance. FlowHunt makes AI Agent creation simple and efficient for all users.

Build AI Agents Visually
Build AI Agents for any service without MCP server complexity.
MCP Server Hosting
Host MCP servers for any service with easy integration.
Workflow Automation
Automate workflows and task management.
Tool Integrations
Connect with external services to expand functionality.
Performance Analytics
Use insights to enhance AI Agent performance.

Set Up Your Atlassian Jira Environment

Create Your Atlassian Jira API Key

  1. Access Atlassian Account: Log in to Atlassian Account.

  2. Create API Token:

    • Select Create API token with scopes. Atlassian Confluence API settings page

    • Give your API token a descriptive name (e.g., FlowHunt-Jira-Integration).

    • Select an expiration date for the token (1 to 365 days).

    • Click Create.

    • Select Copy to clipboard and paste the token to a secure location, such as a password manager, for use in FlowHunt.

    Atlassian Confluence API token creation

💡 Pro Tip: Store your API token securely and avoid sharing it publicly. Using environment variables for API token management is recommended for enhanced security.

Connect to FlowHunt Dashboard

  1. Access FlowHunt: Log in to your FlowHunt.io dashboard.

  2. Navigate to Integrations: Find the “Integrations” section in the left sidebar.

  3. Select Atlassian Jira: Click on the Atlassian Jira integration option to begin the setup process.

    FlowHunt integrations page

Configure the Atlassian Jira Integration

Enter Connection Details

In the Atlassian Jira integration setup page, provide the following information:

FieldDescriptionExample
Atlassian DomainYour Jira URLhttps://your-site.atlassian.net/
API TokenThe API token generated in Atlassianyour-secure-api-token
UsernameYour Atlassian account emailuser@yourcompany.com
Atlassian Confluence integration configuration form

Deploy the Atlassian Jira MCP Server

Add the MCP Server

  1. Navigate to MCP Servers: Go to the “MCP Servers” tab in your FlowHunt dashboard.
  2. Add New Server: Click “Add New MCP Server”.
  3. Select Atlassian Jira: Choose “Atlassian Jira MCP Server” from the available options.
  4. Enter API Details: Provide the API token and, if required, the API URL and username.
  5. Configure Server Tools: Select the tools you want to enable for your MCP server.
Thumbnail for registerUZ.sk MCP Server Integration

MCP INTEGRATION

The following tools are available as part of the Atlassian Jira MCP integration:

get_user_profile

Retrieve profile information for a Jira user by email, username, or account ID.

get_issue

Get details of a specific Jira issue, including fields, comments, and transitions.

search_issues

Search for Jira issues using JQL with customizable fields and pagination.

search_fields

Search Jira field definitions to find custom field IDs.

create_issue

Create a new Jira issue with standard and custom fields.

batch_create_issues

Create multiple Jira issues in a single API call for bulk operations.

batch_update_issues

Update multiple Jira issues in a single API call for bulk changes.

update_issue

Update fields of an existing Jira issue, such as summary or assignee.

delete_issue

Delete a Jira issue to remove outdated entries.

get_issue_comments

Get comments for a specific Jira issue to track discussions.

add_comment

Add a comment to a Jira issue with optional visibility restrictions.

get_issue_worklogs

Get worklog entries for a specific Jira issue to track time spent.

add_worklog

Add a worklog entry to a Jira issue to log time spent.

get_issue_links

Get issue links for a specific Jira issue to view relationships.

create_issue_link

Create a relationship link between two Jira issues, e.g., 'Blocks'.

get_board_issues

Get issues for a specific Jira board using JQL with pagination.

get_sprint_issues

Get issues in a specific sprint for agile project tracking.

get_versions

Get versions for a specific Jira project to manage releases.

create_version

Create a new version in a Jira project for release planning.

get_projects

Get a list of Jira projects to manage or organize project data.

get_project

Get detailed information about a specific Jira project.

search_users

Search for Jira users to assign tasks or collaborate.

get_issue_transitions

Get available transitions for a Jira issue to manage workflow.

transition_issue

Move a Jira issue to a different status using a workflow transition.

get_fields

Get all available Jira fields to understand field definitions.

get_issue_types

Get available issue types for a Jira project to create issues.

get_priorities

Get available issue priorities for a Jira project.

download_attachments

Download all attachments from a Jira issue to a local directory.

create_sprint

Create a new sprint in an agile board with specified dates and goals.

update_sprint

Update an existing sprint's details, such as name or dates.

get_link_types

Get all available issue link types, e.g., 'Blocks' or 'Duplicates'.

link_to_epic

Link an existing issue to an epic for parent-child relationships.

remove_issue_link

Remove an existing link between two Jira issues.

get_boards

Get a list of agile boards to manage sprints and issues.

Atlassian Confluence MCP server tools selection
  1. Finalize Setup: Click “Add MCP Server” to complete the configuration.

📝 Note: You can modify or add tools later based on your evolving automation needs.

Connect MCP Server to Client

Configure the MCP Client

  1. Access Connect Tab: Navigate to the “Connect” tab in your MCP Server configuration.
  2. Choose Client: Select your preferred MCP client:
    • FlowHunt AI Agent (recommended)
    • Claude Desktop
    • Custom client applications
  3. Apply Configuration: Use the provided JSON format:
{
   "mcp": {
      "transport": "streamable_http",
      "url": "https://mcp.flowhunt.io/••••••••"
   }
}

Security Considerations

🔒 Important: Treat your MCP server URL as a password. It provides direct access to your Jira data and server tools. Never share it publicly or commit it to version control.

  1. Test the Connection: Verify functionality by running a test query, such as searching issues or retrieving issue details.

Create AI-Powered Workflows

You have two powerful options for implementing your Atlassian Jira automation:

Option A: Quick Start with Preconfigured Flow

Best for: Getting started quickly with proven automation patterns

  1. Generate Flow: In your MCP Server configuration, click “Create Preconfigured Flow”.

  2. Select Template: Choose “AI Agent with MCP” to create a ready-to-use workflow.

  3. Customize Logic: Use FlowHunt’s visual flow builder to tailor the automation:

    • Set up page creation for meeting notes or reports.
    • Configure automatic content updates for documentation.
    • Implement page searches for knowledge base queries.
    • Create automated notifications for page changes.
    Preconfigured AI Agent flow with Atlassian Jira MCP
  4. Activate: Save and activate your flow to begin automated operations.

Option B: Custom Integration

Best for: Specific automation requirements or existing workflow enhancement

  1. Create/Edit Flow: Open FlowHunt’s flow builder and start with a new or existing flow.
  2. Add MCP Component: Drag the “MCP Server Component” onto your canvas.
  3. Configure Connection: Paste your MCP client configuration:
{
   "mcp": {
      "transport": "streamable_http",
      "url": "https://mcp.flowhunt.io/••••••••"
   }
}
  1. Design Workflow: Create custom logic that leverages the MCP server tools:

    • Search pages for specific project documentation.
    • Update page content based on external triggers.
    • Create new pages for automated reporting.
    • Retrieve page details for AI-driven content analysis.
    FlowHunt visual flow builder with MCP component
  2. Deploy: Save your configuration and activate the flow.

Conclusion

Integrating Atlassian Jira MCP Server with FlowHunt.io creates a powerful foundation for intelligent documentation automation. Whether you’re streamlining page management, automating content updates, or enhancing knowledge sharing, this integration empowers your AI agents to work seamlessly with your critical Jira data.

Start with a simple automation and gradually expand your workflows as you become more comfortable with the platform. The combination of Jira’s robust content management capabilities and FlowHunt’s AI-driven automation will transform how your team collaborates and manages documentation.

Ready to get started? Begin your integration today and unlock the full potential of AI-powered documentation automation!

Connect FlowHunt with Atlassian Jira

Unlock the power of AI-driven automation for your Jira workspace. Easily manage issues, projects, and sprints from within FlowHunt.

Learn more

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