MCP server for JIRA
What is Jira MCP Server
Jira MCP Server
A Spring AI Model Context Protocol (MCP) server implementation that provides AI-powered tools for interacting with Jira. This project enables AI models to perform various Jira operations through a standardized protocol.
Overview
This project implements a Spring AI MCP server that exposes Jira operations as AI tools. It provides capabilities for:
- Querying Jira tickets
- Creating new tickets
- Updating existing tickets
- Adding comments to tickets
The server follows the Model Context Protocol (MCP) specification, enabling standardized interaction between AI models and Jira operations.
Features
- Ticket Query Service: Search and retrieve Jira tickets using JQL
- Ticket Operations Service: Create, update, and comment on Jira tickets
- Spring AI MCP server implementation
- RESTful API endpoints for Jira operations
- Secure authentication using Jira API tokens
Prerequisites
- Java 21 or later
- Gradle 8.12.1 or later
- Jira instance with API access
- Jira API token
Configuration
Configure the application using environment variables or application.properties:
# JIRA Configuration
jira.api-url=${JIRA_API_URL}
jira.username=${ALTASSIAN_USERNAME}
jira.api-token=${ALTASSIAN_TOKEN}
# Server Configuration
server.port=8081
Building the Project
./gradlew build
Running the Application
./gradlew bootRun
Project Structure
src/main/java/com/mcp/
โโโ app/
โ โโโ JiraServiceApplication.java
โโโ config/
โ โโโ AppConfig.java
โ โโโ JiraApiConfiguration.java
โโโ dto/
โ โโโ CommonDTO.java
โ โโโ IssueManagementDTO.java
โ โโโ IssueSearchDTO.java
โโโ service/
โโโ BaseJiraService.java
โโโ TicketOperationsService.java
โโโ TicketQueryService.java
Available Tools
Ticket Query Service
searchIssues
: Search Jira tickets using JQLgetIssue
: Retrieve a specific ticket by key
Ticket Operations Service
createIssue
: Create a new Jira ticketupdateIssue
: Update an existing ticketaddComment
: Add a comment to a ticket
Dependencies
- Spring AI MCP Server WebFlux Starter
- Spring Boot
- Spring WebFlux
- Spring AI Core
Contributing
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a new Pull Request
License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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