MCP server for integrating Atlassian products (Confluence, Jira) with Model Context Protocol
What is petrsovadina mcp atlassian
MCP Atlassian Server
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MCP server pro integraci Atlassian produktů (Confluence, Jira) s Model Context Protocol. Tento nástroj umožňuje snadný přístup k vašemu Confluence obsahu a Jira ticketům přímo přes MCP rozhraní.
Funkce
Confluence
- Vyhledávání obsahu pomocí CQL (Confluence Query Language)
- Přístup ke stránkám, přílohám a komentářům
- Filtrování podle prostoru (space)
Jira
- Vyhledávání issues pomocí JQL (Jira Query Language)
- Získávání detailů o issues včetně statusu, přiřazení a časových značek
Instalace
Installing via Smithery
To install Atlassian Integration Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @petrsovadina/mcp-atlassian --client claude
Manual Installation
git clone https://github.com/petrsovadina/mcp-atlassian.git
cd mcp-atlassian
npm install
npm run build
Konfigurace
Nastavte následující proměnné prostředí:
Confluence
CONFLUENCE_URL=https://your-domain.atlassian.net/wiki
[email protected]
CONFLUENCE_API_TOKEN=your-api-token
Jira
JIRA_URL=https://your-domain.atlassian.net
[email protected]
JIRA_API_TOKEN=your-api-token
Použití v MCP
Přidejte následující konfiguraci do vašeho MCP settings souboru:
{
"mcpServers": {
"atlassian": {
"command": "node",
"args": ["/path/to/mcp-atlassian/build/index.js"],
"env": {
"CONFLUENCE_URL": "your-confluence-url",
"CONFLUENCE_USERNAME": "your-username",
"CONFLUENCE_API_TOKEN": "your-api-token",
"JIRA_URL": "your-jira-url",
"JIRA_USERNAME": "your-username",
"JIRA_API_TOKEN": "your-api-token"
}
}
}
}
Dostupné nástroje
confluence_search
Vyhledávání v Confluence obsahu pomocí CQL.
{
"query": "type=page AND space='Engineering'", // CQL dotaz
"limit": 10 // volitelný limit výsledků (1-50)
}
jira_search
Vyhledávání Jira issues pomocí JQL.
{
"jql": "project = ENG AND status = Open", // JQL dotaz
"fields": "summary,status,assignee", // volitelné pole
"limit": 10 // volitelný limit výsledků (1-50)
}
Resource Templates
Confluence Page
confluence://{space_key}/pages/{title}
Jira Issue
jira://{project_key}/issues/{issue_key}
Příklady použití
Vyhledávání v Confluence
const result = await mcp.use('confluence_search', {
query: "type=page AND space='Engineering' ORDER BY created DESC",
limit: 5
});
Vyhledávání v Jira
const result = await mcp.use('jira_search', {
jql: "project = ENG AND status = 'In Progress'",
fields: "summary,status,assignee,created",
limit: 5
});
Přispívání
Pokud chcete přispět k vývoji, můžete:
- Forkovat repozitář
- Vytvořit feature branch
- Commitnout vaše změny
- Pushnout branch
- Vytvořit Pull Request
Licence
MIT
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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