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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

  1. Clone this repo

  2. cd into the repo

  3. Run npm install

  4. Run npm run build

In your MCP client, you'll need to add the following environment variables:

  • JIRA_PROJECT_URL - Including /rest/api/3 at the end. This should look like https://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 here

  • JIRA_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 tool
example_toolC

An example tool that processes messages

ParametersJSON Schema
NameRequiredDescriptionDefault
messageNoMessage to process

TDQS

C2.2/5.0
Behavior2/5

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.

Conciseness2/5

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.

Completeness2/5

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.

Parameters3/5

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.

Purpose2/5

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.

Usage Guidelines2/5

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. 1 tool updatev1.0.0
    • First observedexample_tool

TDQS

C2.8/5.0

Scored across 1 tool

Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness1/5

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

ActivityInactive
ResponsivenessNo issues

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