Jira MCP Server
This server integrates with Jira Cloud to programmatically manage issues through the REST API (/rest/api/3). You can:
Get Issue By Key: Retrieve details of specific issues
Search Issues: Find issues matching specified criteria
Create Issue: Add new issues to projects
Assign/Unassign Issues: Manage issue ownership
Edit Issue: Modify issue details
Transition Issue: Move issues through workflows
Archive Issues: Remove issues from active lists
Note: This is a work in progress, currently tested only with Jira Cloud endpoints.
Provides tools for interacting with Jira, including getting issues by key, searching issues, creating new issues, assigning and unassigning issues, and editing existing issues. Works with Jira Cloud endpoints and potentially with Jira Data Center.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Jira MCP Serversearch for open bugs in project ABC assigned to me"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Jira MCP Server
⚠️ This MCP Server is a work in progress ⚠️
An MCP Server to communicate with Jira.
This may work with Jira Data Center rest endpoints (/rest/api/2), but as of right now only cloud endpoints have been tested (/rest/api/3).
Running the Server
Clone this repo
cdinto the repoRun
npm installRun
npm run build
In your MCP client, you'll need to add the following environment variables:
JIRA_PROJECT_URL- Including/rest/api/3at the end. This should look likehttps://your-project.atlassian.net/rest/api/3.JIRA_USER_EMAIL- Your user email address. This is needed for Authorization with the API.JIRA_API_KEY- Your Jira API key. You can find info on creating and managing Jira API keys hereJIRA_PROJECT_KEY- The default key you'd like to use for creating new issues
Related MCP server: Jira Cloud MCP Server
Available Tools
Get Issue By Key
Search Issues
Create Issue
Assign Issue
Unassign Issue
Edit Issue
Transition Issue
Archive Issues
Resources
Setup, but none implemented.
Setup with MCP Client (Claude Desktop, Cursor, etc.)
Add the server to the configuration file of your MCP Client.
{
"mcpServers": {
"jira-mcp-server": {
"command": "node",
"args": ["path-to-repo/jira-mcp-server/build/index.js"],
"env": {
"JIRA_PROJECT_URL": "https://project-url.atlassian.net/rest/api/3",
"JIRA_USER_EMAIL": "your_email@example.com",
"JIRA_API_KEY": "yourAPIkey",
"JIRA_PROJECT_KEY": "ABC"
}
}
}
}Issues
Please open any issues if you encounter them.
Available Tools
1 toolexample_toolC
An example tool that processes messages
| Name | Required | Description | Default |
|---|---|---|---|
| message | No | Message to process |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided and the description lacks any behavioral traits such as side effects, permissions, or read-only/mutating nature.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
While short, the description is under-specified and does not earn its place with substantive information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple schema and no output schema or annotations, the description fails to provide complete context, e.g., what the output is or expected behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the description adds no value beyond the schema definition for the only parameter 'message'.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'processes messages' is vague and does not specify what kind of processing or distinguish from sibling tools like api-client, data-processor, and file-handler.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives; no exclusions or prerequisites mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- First observed
example_tool
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The single tool 'example_tool' has a distinct purpose by default, as there are no other tools to compare it to.
The naming is trivially consistent because there is only one tool. The tool name 'example_tool' follows a snake_case pattern, and with no other tools, there is no inconsistency to evaluate.
A single tool is too few for a Jira MCP server, which typically involves managing issues, projects, workflows, and other entities. This minimal set suggests an incomplete or placeholder implementation, failing to cover the expected domain scope.
The tool set is severely incomplete for a Jira server. With only an 'example_tool' that processes messages, there are no tools for core Jira operations like creating, retrieving, updating, or deleting issues, projects, or other resources, leaving significant gaps that will cause agent failures.
Maintenance
Related MCP Connectors
MCP Server for JFrog, providing tools for development and artifact management.
MCP server for AI access to SmartBear tools, including BugSnag, Reflect, Swagger, PactFlow, QTM4J.
MCP server for generating rough-draft project plans from natural-language prompts.
An MCP server that integrates with Discord to provide AI-powered features.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP server for integrating with Jira Server instances, enabling natural language interactions to create, update, search, and manage issues and comments.30 npm1MIT
- AlicenseNot gradedqualityAmaintenanceMCP server for interacting with Jira Cloud instances. Enables issue management, JQL queries, project and sprint management, and batch operations via natural language interfaces.112 npm4MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for JIRA integration enabling issue management, search, comments, and linking via natural language.Apache 2.0
- FlicenseNot gradedqualityDmaintenanceA local MCP server for managing Jira issues, enabling creation, update, deletion, search, and commenting on issues via natural language.-