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MCP SERVER Listed

MCP Jira

The MCP Jira tool bridges the gap between your local LLM environment and your project management workflow. Instead of context-switching between your IDE and a web browser to check task statuses, this protocol implementation allows your AI assistant to interact directly with your Jira instance. Developers can use it to query issue details, transition ticket statuses, create new sub-tasks, or search for specific epic requirements using natural language commands. Unlike standard API wrappers that require manual script writing, this MCP implementation provides a standardized interface that lets your model understand the structure of your Jira projects. It is particularly effective for automating repetitive administrative tasks—like updating progress during a coding session—or using project context to ground the AI's suggestions in your actual sprint goals. Integration is straightforward via any MCP-compliant host, making it a powerful addition to a developer-centric agentic workflow.

Open ecosystemProductivity
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01 / SERVER DETAIL

Server detail

The MCP Jira tool bridges the gap between your local LLM environment and your project management workflow. Instead of context-switching between your IDE and a web browser to check task statuses, this protocol implementation allows your AI assistant to interact directly with your Jira instance. Developers can use it to query issue details, transition ticket statuses, create new sub-tasks, or search for specific epic requirements using natural language commands. Unlike standard API wrappers that require manual script writing, this MCP implementation provides a standardized interface that lets your model understand the structure of your Jira projects. It is particularly effective for automating repetitive administrative tasks—like updating progress during a coding session—or using project context to ground the AI's suggestions in your actual sprint goals. Integration is straightforward via any MCP-compliant host, making it a powerful addition to a developer-centric agentic workflow.

An MCP server that exposes MCP Jira capabilities to MCP-compatible AI clients.

CapabilitiesProductivityMCPOpen source
ProtocolModel Context Protocol
Developer ecosystemOpen ecosystem
LicenseMIT / check source
SourceGitHub
COLLECTIONS

Collections featuring this MCP

Popular MCP2026.03.30Listed
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02 / TOOL TESTING

Tool testing

AVAILABLE TOOL

mcp-jira

Callable

Call the MCP capabilities provided by MCP Jira and return a structured result.

PARAMETERS
inputPass arguments according to the server tool schema.
Tip: the tool may truncate responses. Use pagination parameters such as start_index to read long content in chunks.
03 / SERVICE CONFIGURATION

Connection modes

Remote
{
  "mcpServers": {
    "MCP Jira": {
      "url": "Generated by the provider after deployment"
    }
  }
}

The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.

03 / WORKFLOW

How to use

  1. 01
    Step 1

    Review server capabilities and permission scope.

  2. 02
    Step 2

    Copy the install command or JSON configuration.

  3. 03
    Step 3

    Run a small connection test in your client.

  4. 04
    Step 4

    Adopt it long term only after reviewing access and maintenance.

04 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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