Jira MCP Server
A Model Context Protocol server that provides integration with Jira, allowing Large Language Models to interact with Jira projects, boards, sprints, and issues through natural language.
ParasSolanki
README
Jira MCP Server
A Model Context Protocol Server for Jira.
Provides integration with Jira through MCP, allowing LLMs to interact with it.
Installation
Manual Installation
Note: Requires Node version to be 22.12.0 or above
-
Create or get Jira Personal Access Token: Guide
-
Add server config to Claude Desktop:
- MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: Check this Guide
{
"mcpServers": {
"jira": {
"command": "npx",
"args": ["-y", "@parassolanki/jira-mcp-server@latest"],
"env": {
"JIRA_PERSONAL_ACCESS_TOKEN": "email@example.com:your_personal_jira_access_token",
"JIRA_BASE_URL": "jira_base_url"
}
}
}
}
For Windows:
{
"mcpServers": {
"jira": {
"command": "cmd /c npx",
"args": ["-y", "@parassolanki/jira-mcp-server@latest"],
"env": {
"JIRA_PERSONAL_ACCESS_TOKEN": "email@example.com:your_personal_jira_access_token",
"JIRA_BASE_URL": "jira_base_url"
}
}
}
}
Components
Tools
-
list_projects
: List projects from Jira.- Required inputs:
query
(optional string): A query string used to filter the returned projects.maxResults
(optional number, max: 100): The maximum number of results to return.expand
(optional string): Expand additional information in the response. (comma separateddescription
,lead
,issueTypes
,url
,projectKeys
,permissions
andinsight
).
- Required inputs:
-
list_boards
: List boards from a project.- Required inputs:
projectKeyOrId
(string): Key or Id of the project.name
(optional string): Name of the project.maxResults
(optional number, max: 100): The maximum number of results to return.startAt
(optional number): The starting index of the returned boards.type
(optional string): The type of boards. (can be one ofscrum
orkanban
).
- Required inputs:
-
list_sprints_from_board
: List sprints from a board.- Required inputs:
boardId
(string): The ID of the board.maxResults
(optional number, max: 100): The maximum number of results to return.startAt
(optional number): The starting index of the returned boards.
- Required inputs:
-
list_issues_from_sprint
: List issues from a sprint.- Required inputs:
boardId
(string): The ID of the board.sprintId
(string): The ID of the sprint.maxResults
(optional number, max: 100): The maximum number of results to return.startAt
(optional number): The starting index of the returned boards.expand
(optional string): Expand additional information in the response. (comma separatedschema
andnames
).
- Required inputs:
Usage examples
Some example prompts you can use to interact with Jira:
- "Show me all Jira projects" → execute the list_projects tool to see all available projects.
- "What Kanban boards exist in the DEV project?" → execute the list_boards tool with the DEV project key and type parameter set to "kanban".
- "Show me all the sprints for board ID 123" → execute the list_sprints_from_board tool to see all sprints associated with board 123.
- "What issues are in sprint 456 on board 123?" → execute the list_issues_from_sprint tool to see all issues in sprint 456 on board 123.
- "Show me the first 50 issues from the current sprint on the Marketing board" → first execute list_boards to find the Marketing board ID, then list_sprints_from_board to find the current sprint, then list_issues_from_sprint with maxResults=50.
Development
- Install dependencies:
pnpm install
- Configure Github Access token in
.env
:
JIRA_PERSONAL_ACCESS_TOKEN=email@example.com:your_personal_jira_access_token
JIRA_BASE_URL=jira_base_url
- Run locally with watch:
pnpm dev
- Build the server:
pnpm build
- Local debugging with inspector:
pnpm inspector
TODOS
- [x] list_projects
- [x] list_boards
- [x] list_sprints_from_board
- [x] list_issues_from_sprint
- [ ] get_issue_by_id_or_key
- [ ] create_issue
- [ ] update_issue
- [ ] delete_an_issue
- [ ] archieve_an_issue
- [ ] list_comments_from_issue
- [ ] get_comment_from_issue_by_id
- [ ] create_comment_in_issue
- [ ] update_comment_of_issue
- [ ] delete_comment_of_issue
- [ ] list_subtasks_from_issue
- [ ] get_user_by_username_or_key
Recommended Servers
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.
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.
MCP Package Docs Server
Facilitates LLMs to efficiently access and fetch structured documentation for packages in Go, Python, and NPM, enhancing software development with multi-language support and performance optimization.
Claude Code MCP
An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.
@kazuph/mcp-taskmanager
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Linear MCP Server
Enables interaction with Linear's API for managing issues, teams, and projects programmatically through the Model Context Protocol.
mermaid-mcp-server
A Model Context Protocol (MCP) server that converts Mermaid diagrams to PNG images.
Jira-Context-MCP
MCP server to provide Jira Tickets information to AI coding agents like Cursor

Linear MCP Server
A Model Context Protocol server that integrates with Linear's issue tracking system, allowing LLMs to create, update, search, and comment on Linear issues through natural language interactions.

Sequential Thinking MCP Server
This server facilitates structured problem-solving by breaking down complex issues into sequential steps, supporting revisions, and enabling multiple solution paths through full MCP integration.