Connects AI clients to Jira for issue, sprint, workflow, comment, history, and development-data operations.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
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๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Jira MCP.
jira_get_issueRetrieve detailed information about a specific issue including status, assignee, description, subtasks, and available transitions
jira_create_issueCreate a new issue with specified details (returns key, ID, and URL)
jira_create_child_issueCreate a child issue (sub-task) linked to a parent issue
jira_update_issueModify an existing issue's details (supports partial updates)
jira_list_issue_typesList all available issue types in a project with their IDs, names, and descriptions
jira_search_issueSearch for issues using JQL (Jira Query Language) with customizable fields and expand options
The nguyenvanduocit/jira-mcp MCP server connects an MCP-compatible AI client to Atlassian Jira. It covers common engineering and project-tracking operations rather than only issue lookup. Agents can retrieve, create, update, and search issues; create subtasks; inspect issue types and statuses; and transition issues through Jira workflows.
Sprint support includes listing active and future sprints, retrieving a sprint by ID, finding the active sprint, and searching sprint names. The server also handles comments, worklogs, issue history, linked issue relationships, project versions, and development data associated with an issue. Development information can include branches, pull requests, and commits from connected GitHub, GitLab, or Bitbucket integrations.
The server is written in Go and communicates with MCP clients through STDIO, so a local binary or Docker container does not need to expose a network port for normal use. An optional HTTP mode is available for debugging and can serve the MCP endpoint locally.
Jira access uses the Atlassian host, Atlassian email, and an API token. Each operation is exposed as a named MCP tool with typed inputs. Search uses Jira Query Language, while issue comments use Atlassian Document Format. Workflow transitions require a valid Jira transition ID.
The nguyenvanduocit/jira-mcp MCP server registers all Jira tools by default. The ENABLED_TOOLS environment variable accepts a comma-separated allowlist, allowing an administrator to expose only selected tools. Unset or empty configuration keeps the default of exposing all tools; unknown names are ignored and logged at startup.
Create an Atlassian API token through the Atlassian account security settings, then configure:
ATLASSIAN_HOST: the Jira instance URLATLASSIAN_EMAIL: the Atlassian account emailATLASSIAN_TOKEN: the Jira API tokenENABLED_TOOLS: optional comma-separated tool allowlistThe README documents Docker and local-binary configurations for Cursor, with the credentials passed as environment variables. It also describes a local .env file for running the binary and an HTTP command using -env and -http_port flags. Claude Desktop is named as an installation target, but the supplied material does not provide a dedicated Claude configuration example.
Available tool groups include:
The repository also includes a separate jira-cli binary for terminal use, but that CLI is distinct from the MCP interface.
The server requires access to a Jira instance and valid Atlassian credentials. Jira permissions and project configuration determine which issues, sprints, transitions, comments, versions, and development links are available. Mutating operations remain exposed unless the tool allowlist is configured to exclude them. The provided material does not specify support for OAuth, Jira Server/Data Center compatibility, or the exact permission requirements for each operation.
The nguyenvanduocit/jira-mcp MCP server is licensed under MIT.
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