What transport does this server use?
It communicates over stdio, which is standard for MCP servers. Debugging is supported via the MCP Inspector.
@KS-GEN-AI
基本情報
A test of jira mcp server
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"Jira communication server": {
"command": "node",
"args": [
"/PATH_TO_THE_PROJECT/build/index.js"
],
"env": {
"JIRA_URL": "",
"JIRA_API_MAIL": "",
"JIRA_API_KEY": ""
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A TypeScript-based MCP server that provides tools to interact with Jira. It enables executing JQL queries, creating, editing, and deleting tickets, and listing projects and statuses.
Install dependencies with npm install, build with npm run build, then add the server configuration to your Claude Desktop config file with required environment variables (JIRA_URL, JIRA_API_MAIL, JIRA_API_KEY). Run with the MCP Inspector for debugging.
execute_jql)get_only_ticket_name_and_descriptionIt communicates over stdio, which is standard for MCP servers. Debugging is supported via the MCP Inspector.
`JIRA_URL` (your Atlassian instance URL), `JIRA_API_MAIL` (your email), and `JIRA_API_KEY` (generated from [Atlassian API tokens](https://id.atlassian.com/manage-profile/security/api-tokens)).
Install dependencies with `npm install`, build with `npm run build`, then add the server definition to your Claude Desktop config file (location depends on OS) with the `node` command pointing to the built `index.js`.
The server does not mention local storage; it communicates directly with the Jira API using the provided credentials.
No known limits are mentioned in the README.
A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files.

Model Context Protocol Servers
Interact seamlessly with GitLab repositories to manage merge requests and issues. Fetch details, add comments, and streamline your code review process with ease.
This MCP server provides integration with Gerrit code review system, allowing AI assistants to review code changes and their details through a simple interface.
Production-grade GitLab MCP server with 86 tools — full GitLab control from any AI agent (Claude, Cursor, Zed).
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