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Jira Mcp Streamlit
What is Jira Mcp Streamlit
Jira_mcp_streamlit is a Streamlit-powered assistant designed to manage Jira tickets through an intuitive tabbed interface, utilizing the MCP (Model Control Panel) framework for tool integration. It allows users to create, search, and manage Jira tickets using natural language commands or direct forms.
Use cases
Use cases for Jira_mcp_streamlit include creating new tasks or bug tickets through natural language commands, searching for existing tickets using advanced JQL, and managing ticket statuses in a collaborative team setting.
How to use
To use Jira_mcp_streamlit, clone the repository, install the required packages, set up your environment variables in a .env file, and run the application using the provided start script. Users can interact with the assistant through a chat interface or a form-based interface to create and search for tickets.
Key features
Key features include a clean tabbed interface for different operations, the ability to create, search, and manage Jira tickets using conversational commands, real-time ticket creation without external LLMs, and a direct form-based interface for ticket management.
Where to use
Jira_mcp_streamlit is primarily used in software development and project management environments where Jira is utilized for issue tracking and ticket management. It is suitable for teams looking to streamline their workflow and enhance productivity.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Jira Mcp Streamlit
Jira_mcp_streamlit is a Streamlit-powered assistant designed to manage Jira tickets through an intuitive tabbed interface, utilizing the MCP (Model Control Panel) framework for tool integration. It allows users to create, search, and manage Jira tickets using natural language commands or direct forms.
Use cases
Use cases for Jira_mcp_streamlit include creating new tasks or bug tickets through natural language commands, searching for existing tickets using advanced JQL, and managing ticket statuses in a collaborative team setting.
How to use
To use Jira_mcp_streamlit, clone the repository, install the required packages, set up your environment variables in a .env file, and run the application using the provided start script. Users can interact with the assistant through a chat interface or a form-based interface to create and search for tickets.
Key features
Key features include a clean tabbed interface for different operations, the ability to create, search, and manage Jira tickets using conversational commands, real-time ticket creation without external LLMs, and a direct form-based interface for ticket management.
Where to use
Jira_mcp_streamlit is primarily used in software development and project management environments where Jira is utilized for issue tracking and ticket management. It is suitable for teams looking to streamline their workflow and enhance productivity.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Jira Assistant with MCP Integration
A Streamlit-based assistant for managing Jira tickets using MCP (Model Control Panel) for tool calling.
Features
- 🤖 Clean tabbed interface for different operations
- 🎯 Create, search, and manage Jira tickets with simple conversational commands
- 🔄 Real-time ticket creation without relying on external LLMs
- 🛠️ Built on the MCP framework for flexible tool calling
- 📊 Direct form-based interface for creating and searching tickets
Screenshots
Tabbed Interface
The application now features a clean tabbed interface with separate sections for:
- Chat - Conversational interface for managing tickets
- Create Ticket - Form-based ticket creation
- Search Tickets - Advanced search using JQL

Prerequisites
- Python 3.8+
- Jira account with API access
- MCP server running with Jira tools
Installation
- Clone the repository
- Install the required packages:
pip install -r requirements.txt - Set up your environment variables in a
.envfile:JIRA_URL=https://your-domain.atlassian.net [email protected] JIRA_API_TOKEN=your-jira-api-token
Running the Application
Use the start script to launch the application:
./start_jira_assistant.sh
The script will:
- Check if the MCP package is installed
- Verify required environment variables
- Start the MCP server if it’s not already running
- Launch the Streamlit application
Usage Examples
Creating Tickets
You can create tickets in two ways:
Using the Chat Interface
Type natural language commands like:
- “Create a new task in KAN titled ‘Implement user authentication’ with description ‘We need to add a JWT-based authentication system for user login.’”
- “I need a bug ticket in KAN for ‘Fix pagination in user list’ describing ‘The pagination controls are not working correctly when there are more than 10 users.’”
Using the Form Interface
- Navigate to the “Create Ticket” tab
- Fill in the required fields (Project Key, Summary, Description)
- Select the issue type
- Click “Create Ticket”
Searching Tickets
You can search tickets in two ways:
Using the Chat Interface
Type natural language queries like:
- “Find all open tickets in the KAN project”
- “Show me all high priority bugs”
- “Search for tickets mentioning ‘authentication’ in the KAN project”
Using the Search Interface
- Navigate to the “Search Tickets” tab
- Enter a JQL query (examples are provided in the interface)
- Set the maximum number of results
- Click “Search”
Getting Ticket Details
Ask for details about specific tickets:
- “Show details for ticket KAN-123”
- “What’s the status of KAN-456?”
Direct Jira Tool
For command-line operations, use the direct_jira_tool.py script:
# List available tools
./direct_jira_tool.py list
# Create a ticket
./direct_jira_tool.py create --project KAN --title "Fix login page" --description "The login page has a UI bug in Safari"
# Search for tickets
./direct_jira_tool.py search --query "project = KAN AND status = 'In Progress'"
# Get ticket details
./direct_jira_tool.py get --id KAN-123
Test MCP Client
You can test the connection to the MCP server using the test_mcp_client.py script:
# Run all tests
python test_mcp_client.py all
# Test connection only
python test_mcp_client.py connect
# Test creating a specific ticket
python test_mcp_client.py test_create --project KAN --title "Test ticket" --description "This is a test"
Troubleshooting
MCP Server Issues
If the MCP server doesn’t connect properly:
- Check if the MCP server path is correct
- Verify your Jira credentials in the .env file
- Use the “Restart MCP Server” button in the sidebar
- Test the connection using
test_mcp_client.py connect
Ticket Creation Issues
If you encounter issues with ticket creation:
- Make sure all required fields are filled in
- Check that the project key exists and is correctly formatted
- Verify that your Jira API token has sufficient permissions
- Look for specific error messages in the response
Search Issues
If you encounter search issues with error messages like Error executing tool search_jira_tickets: validation error:
- Make sure your JQL query is properly formatted
- Avoid using complex JQL queries with special characters
- Try simple queries first like
project = KANto test functionality - The MCP server currently has a limit of 10 results per search
Other Issues
- Check the browser console and terminal output for detailed error messages
- Make sure all environment variables are set correctly
- Ensure you have the correct version of the
mcppackage installed (pip install -U mcp)
New Features in Latest Update
- 📋 Tabbed Interface: Separate tabs for chat, ticket creation, and search
- 🖋️ Improved Ticket Creation: Direct form-based creation without relying on LLMs
- 🔎 Advanced Search: JQL-based search with examples and flexible formatting
- 🛡️ Enhanced Error Handling: Better error messages and validation
- 🧩 Simplified Dependencies: Removed reliance on external APIs like Gemini
Development
To contribute to this project:
- Fork the repository
- Create a feature branch
- Make your changes
- Submit a pull request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgements
- Streamlit for the web app framework
- MCP for the tool-calling infrastructure
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










