JIRA MCP Server

JIRA MCP Server

An AI-friendly JIRA integration server using the Model Context Protocol, providing semantic tools for searching and interacting with JIRA issues without requiring JQL knowledge.

Category
Visit Server

README

JIRA MCP Server

An AI-friendly JIRA integration server using the Model Context Protocol (MCP). This server provides semantic tools for searching, retrieving, and interacting with JIRA issues without requiring knowledge of JQL or JIRA internals.

✨ Features

  • šŸ¤– AI-Friendly Interface: Uses semantic parameters instead of JQL
  • šŸ”„ Automatic JIRA Detection: Leverages gouqi 0.14.0 for Cloud/Server detection
  • ⚔ Smart Caching: Metadata caching with TTL for performance
  • šŸ› ļø Comprehensive Tools: Search, issue details, user issues
  • 🚦 Error Handling: MCP-compliant error codes and messages
  • šŸ” Flexible Authentication: Supports PAT, Basic, Bearer, and Anonymous auth

šŸš€ Quick Start

Prerequisites

  • Rust 1.75.0 or later
  • Access to a JIRA instance (Cloud or Server)
  • JIRA authentication credentials

1. Configuration

Set up your JIRA connection using environment variables:

# Required: JIRA instance URL
export JIRA_URL="https://your-company.atlassian.net"

# Required: Authentication
export JIRA_AUTH_TYPE="pat"  # or "basic", "bearer", "anonymous"
export JIRA_TOKEN="your_personal_access_token"

# Optional: Advanced settings
export JIRA_CACHE_TTL="300"        # Cache TTL in seconds (default: 300)
export JIRA_MAX_RESULTS="50"       # Max search results (default: 50, max: 200)
export JIRA_REQUEST_TIMEOUT="30"   # Request timeout in seconds (default: 30)

2. Build and Run

# Clone and build
git clone https://github.com/yourusername/gouqi-mcp-server.git
cd gouqi-mcp-server
cargo build --release

# Run the server
./target/release/jira-mcp-server

3. Test Connection

# Test tools
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | ./target/debug/jira-mcp-server

# Test connection
echo '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"test_connection","arguments":{}}}' | ./target/debug/jira-mcp-server

šŸ› ļø Available Tools

search_issues

Search for JIRA issues using AI-friendly semantic parameters.

Example Usage:

{
  "issue_types": ["story", "bug"],
  "assigned_to": "me",
  "status": ["open", "in_progress"],
  "project_key": "PROJ",
  "created_after": "7 days ago",
  "limit": 25
}

get_issue_details

Get detailed information about a specific JIRA issue.

Example Usage:

{
  "issue_key": "PROJ-123",
  "include_comments": true,
  "include_attachments": true
}

get_user_issues

Get issues assigned to a specific user with filtering options.

Example Usage:

{
  "username": "me",
  "status_filter": ["open", "in_progress"],
  "issue_types": ["story", "bug"],
  "due_date_filter": "overdue"
}

get_server_status

Get server status and JIRA connection information.

test_connection

Test JIRA connection and authentication.

clear_cache

Clear all cached metadata.

šŸ“ Project Structure

jira-mcp-server/
ā”œā”€ā”€ Cargo.toml                    # Package configuration
ā”œā”€ā”€ src/
│   ā”œā”€ā”€ main.rs                   # Server entry point
│   ā”œā”€ā”€ lib.rs                    # Main server implementation
│   ā”œā”€ā”€ config.rs                 # Configuration management
│   ā”œā”€ā”€ cache.rs                  # Metadata caching
│   ā”œā”€ā”€ jira_client.rs            # JIRA API wrapper
│   ā”œā”€ā”€ semantic_mapping.rs       # AI-friendly parameter mapping
│   ā”œā”€ā”€ error.rs                  # Error types and handling
│   └── tools/                    # MCP tool implementations
│       ā”œā”€ā”€ mod.rs
│       ā”œā”€ā”€ search_issues.rs
│       ā”œā”€ā”€ issue_details.rs
│       └── user_issues.rs
ā”œā”€ā”€ config/
│   └── jira-mcp-config.toml.example  # Configuration example
└── README.md

āš™ļø Configuration

Environment Variables (Recommended)

# Required
JIRA_URL="https://your-instance.atlassian.net"
JIRA_AUTH_TYPE="pat"  # "pat", "basic", "bearer", "anonymous"
JIRA_TOKEN="your_token"

# For Basic Auth
JIRA_USERNAME="your_username"
JIRA_PASSWORD="your_password"  # pragma: allowlist secret

# Optional
JIRA_CACHE_TTL="300"
JIRA_MAX_RESULTS="50"
JIRA_REQUEST_TIMEOUT="30"
JIRA_RATE_LIMIT="60"

TOML Configuration File (Alternative)

Copy config/jira-mcp-config.toml.example to jira-mcp-config.toml and customize:

jira_url = "https://your-company.atlassian.net"
cache_ttl_seconds = 300
max_search_results = 50

[auth]
type = "personal_access_token"
token = "your_token_here"

[issue_type_mappings]
story = ["Story", "User Story"]
bug = ["Bug", "Defect"]
feature = ["Feature", "Enhancement"]

šŸ”Œ Integration with MCP Clients

Claude Desktop

Add to your MCP configuration:

{
  "servers": {
    "jira": {
      "command": "/path/to/jira-mcp-server",
      "env": {
        "JIRA_URL": "https://your-company.atlassian.net",
        "JIRA_AUTH_TYPE": "pat",
        "JIRA_TOKEN": "your_token"
      }
    }
  }
}

Continue.dev

{
  "mcpServers": {
    "jira": {
      "command": "/path/to/jira-mcp-server",
      "env": {
        "JIRA_URL": "https://your-company.atlassian.net",
        "JIRA_AUTH_TYPE": "pat",
        "JIRA_TOKEN": "your_token"
      }
    }
  }
}

šŸŽÆ Semantic Parameters

The server translates AI-friendly parameters to JIRA concepts:

Issue Types

  • "story" → Story, User Story
  • "bug" → Bug, Defect
  • "feature" → Feature, Enhancement
  • "task" → Task, Sub-task
  • "capability" → Capability, Epic

Status Categories

  • "open" → Open, To Do, Backlog, New
  • "in_progress" → In Progress, In Development, In Review
  • "done" → Done, Closed, Resolved, Complete
  • "blocked" → Blocked, On Hold, Waiting

User References

  • "me" or "current_user" → Authenticated user
  • "unassigned" → Unassigned issues
  • Any username or account ID

šŸ”§ Development

Building

cargo build

Running with Debug Logs

RUST_LOG=debug cargo run

Testing with MCP Inspector

# Install MCP Inspector
npm install -g @modelcontextprotocol/inspector

# Test your server
npx @modelcontextprotocol/inspector ./target/debug/jira-mcp-server

Running Tests

cargo test

🌟 Example AI Interactions

Find my open stories:

AI: "Show me all the stories assigned to me that are currently open or in progress"
→ Uses: search_issues with {"issue_types": ["story"], "assigned_to": "me", "status": ["open", "in_progress"]}

Get issue details:

AI: "What's the current status and description of PROJ-123?"
→ Uses: get_issue_details with {"issue_key": "PROJ-123"}

Find overdue bugs:

AI: "Show me all bugs that are overdue"
→ Uses: search_issues with {"issue_types": ["bug"], "created_after": "30 days ago", "status": ["open", "in_progress"]}

🚨 Troubleshooting

Connection Issues

  1. Verify JIRA_URL is correct and accessible
  2. Check authentication credentials
  3. Test with test_connection tool
  4. Check firewall/network restrictions

Authentication Issues

  • Jira Cloud: Use Personal Access Token (PAT)
  • Jira Server: Use username/password or API token
  • Verify token permissions and expiration

Performance Issues

  • Check cache TTL settings
  • Monitor API rate limits
  • Use more specific search filters
  • Consider increasing JIRA_REQUEST_TIMEOUT

šŸ”’ Security

  • Never commit credentials to version control
  • Use environment variables for sensitive data
  • Rotate tokens regularly
  • Use least-privilege access tokens
  • Monitor API usage and access logs

šŸ“Š Monitoring & Debugging

Set log levels for debugging:

RUST_LOG=debug ./target/debug/jira-mcp-server     # Debug level
RUST_LOG=trace ./target/debug/jira-mcp-server     # Verbose trace level

Log output includes:

  • Tool invocations and parameters
  • JIRA API calls and responses
  • Cache operations and hit/miss rates
  • Performance timing information
  • Error details and stack traces

šŸ¤ Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

šŸ“„ License

This project is licensed under the MIT License. See LICENSE for details.

šŸ†˜ Support & Resources


šŸŽ‰ Happy JIRA automation with AI!

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured