Contextual Model Protocol for Jira Connectivity

A specialized implementation of the Model Context Protocol (MCP) engineered for seamless interaction with Jira, enabling several key functionalities:

• Supply a direct Jira ticket identifier (link or key) to procure comprehensive issue specifications and subsequently direct the Cursor agent toward remediation.
• Query and retrieve the complete inventory of tasks currently allocated to the authenticated user within a designated Jira project scope.
• Apply granular filtering mechanisms based on standardized issue classifications (e.g., Bug, Task, Spike) and automatically guide the Cursor IDE environment toward resolution efforts.
• Achieve operational synergy through direct, efficient interfacing with the underlying Jira Application Programming Interface (API).

Deployment Instructions

Prerequisites for Operation

• Runtime environment: Node.js, version 20.17.0 or newer.
• Valid credentials for an Atlassian Jira instance.
• A securely generated Jira API authentication token (obtainable from Atlassian API Tokens Portal).

Installation Procedures

Method A: Automated Deployment via Smithery

For effortless installation into your Claude Desktop instance via the Smithery registry:

bash npx -y @smithery/cli install @rahulthedevil/Jira-Context-MCP --client claude

Method B: Manual Source Code Integration

1. Clone the source repository locally: bash git clone https://github.com/yourusername/Jira-Context-MCP.git cd Jira-Context-MCP

2. Resolve project dependencies: bash npm install # Alternatively, use pnpm: pnpm install

3. Establish configuration environment variables by copying the template: bash cp .env.example .env

4. Populate the .env file with your specific Jira access parameters:

JIRA_BASE_URL=https://your-domain.atlassian.net JIRA_USERNAME=your-email@example.com JIRA_API_TOKEN=your-api-token-here HTTP_PORT=3000

Compilation

Execute the necessary build scripts:

bash npm run build

Or using pnpm:

pnpm build

Utilization Guide

Initiating the Service Endpoint

Launch the underlying HTTP listener:

bash npm start

Or using pnpm:

pnpm start

For headless Command Line Interface (CLI) interaction:

bash npm run start:cli

Or using pnpm:

pnpm start:cli

Linking with the Cursor IDE

1. Open the Command Palette within Cursor (standard shortcuts: Ctrl+Shift+P or Cmd+Shift+P).
2. Input the command prefix: "Connect to MCP Server"
3. Select the active connection option.
4. Input the server endpoint address (default is http://localhost:3000/sse).

Exposed Toolset

Upon successful connection, the following invocation commands become available within Cursor:

1. Retrieve Issue Specifications

Fetches comprehensive data for a singular Jira artifact:

/get_issue issueKey:PROJ-123

2. Fetch User-Assigned Tasks

Retrieves all issues currently marked as assigned to the authenticated user within a specified project boundary:

/get_assigned_issues projectKey:PROJ maxResults:10

3. Filter Items by Classification

Isolates issues based on a predefined type (e.g., Bug, Story, Epic):

/get_issues_by_type issueType:Bug projectKey:PROJ maxResults:10

4. List Available Projects

Returns a directory of all accessible Jira projects:

/get_projects

5. Enumerate Issue Classifications

Provides a catalog of all supported issue types within the connected Jira instance:

/get_issue_types

6. Inspect Recent Artifact Modifications

Queries for changes logged on tickets within a specified temporal window (e.g., last 7 solar days):

/get_recent_changes projectKey:PROJ maxDays:7

Operational Scenarios

🚀 Jira MCP Server + Cursor IDE = A High-Efficiency Development Nexus! This combination transforms developer workflows:

📂 Query: "Provide a comprehensive list of all Jira project namespaces I am authorized to access." → Result: Instantaneous enumeration of all accessible projects. Benefit: Eliminates manual navigation and project discovery latency.

📋 Query: "Display every active ticket associated with the 'PROJ' identifier." → Result: Automatic retrieval of all open items. Benefit: Effortless workload visibility and maintenance of organizational structure.

🐛 Query: "Target all issues classified as 'Bug' or 'Change Request' within 'PROJ' and initiate their resolution sequence." → Result: Automated identification and instruction for Cursor to commence fixing. Benefit: Accelerated defect closure via workflow automation.

✅ Query: "Gather all tickets assigned specifically to my user profile and commence tackling them." → Result: Aggregation of personal assignments, ready for Cursor execution. Benefit: Optimal task prioritization with zero context switching overhead.

🔍 Query: "Acquire the exhaustive details for Jira artifact PROJ-123." → Result: Full artifact data presentation in mere seconds. Benefit: Instant context acquisition, bypassing multi-tab lookups.

📊 Query: "Summarize all modifications that transpired across tickets in 'PROJ' over the preceding week." → Result: AI tracks temporal data shifts and highlights critical updates. Benefit: Vigilant monitoring of recent ticket history without manual auditing.

🔥 Summary: Your AI assistant is now fluent in Jira operations coupled with IDE actioning! Access projects, filter data, audit changes, and remediate defects—all within your coding environment. From initial backlog grooming to final bug patch deployment, this MCP Server ensures Jira serves your process.

Development Structure

Directory Map

• src/ - Primary source code directory
• services/ - Encapsulates Jira API interaction logic
• types/ - TypeScript interface definitions
• utils/ - Auxiliary utility functions
• server.ts - Core MCP server bootstrap implementation
• index.ts - Main application launch point
• cli.ts - Standalone CLI execution module

Extending Functionality

To introduce novel tool capabilities, modify the src/server.ts file and register the new function definitions within the registerTools routine.

Licensing

Distributed under the MIT License.

Proprietor

Rahul Dey - @rahulthedevil

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