Jira
CommunityPopularIntegrates Jira's project management capabilities with AI systems to automate tasks, track progress, and streamline development workflows.
| Publisher | null |
| Repository | null |
| Language | TypeScript |
| Forks | 0 |
| Stars | 2.6K |
| Available tools | 0 |
| Transport type | streamable-http |
| Categories | |
| License | MIT |
- Connect tools to AI workflows
Jira exposes MCP capabilities that can be used by compatible AI clients and agents.
- 0 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
- Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
- Open source signals
2.6K stars and 0 forks from the linked repository.
Installation
{
"mcpServers": {
"atlassian": {
"url": "https://mcp.atlassian.com/v1/sse"
}
}
}Use Jira MCP with multiple AI models
TypingMind connects MCP tools at the workspace level, so once Jira is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP connects through a hosted MCP server URL in TypingMind.
Add an MCP server URL
Use this when Jira is already hosted remotely or your team wants one shared connector that multiple users can access.
Open MCP connectors
In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.
- Open TypingMind in your browser.
- Go to Plugins.
- Open MCP connectors.
- Click Add URL.
Paste the server URL
Enter https://mcp.atlassian.com/v1/sse in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.
- Paste https://mcp.atlassian.com/v1/sse into the Server URL field.
- Enter a connection name for Jira.
- Add a description and icon if you want it to be easier to identify.
- Add custom HTTP headers or OAuth client details if the server requires authentication.
Create the connection
Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.
- Click Create connection.
- Return to the MCP connectors list.
- Confirm the Jira connection appears as active.
- Refresh the plugin list if the connection does not appear immediately.
Switch models without reconnecting
Start a chat with your preferred model, enable the Jira tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.
- Start a new chat in TypingMind.
- Select the AI model you want to use.
- Enable the Jira tools from Plugins.
- Ask the model to use the tool when needed.
- Switch to another AI model and reuse the same MCP connection.
Here is what I found using Jira.
Frequently asked questions
What is the Jira MCP server used for?
Jira is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.
Can I use Jira MCP with multiple AI models in TypingMind?
Yes. TypingMind connects MCP tools at the workspace level, so you can use Jira with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.
Why use Jira MCP with TypingMind?
TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Jira connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.
How do I connect Jira MCP to TypingMind?
Jira can be connected in TypingMind by adding its hosted MCP server URL. This is useful when you want a remote MCP connection that is available from your TypingMind workspace.
What tools does Jira MCP provide in TypingMind?
Jira exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.
Do I need to share my API keys with TypingMind to use Jira MCP?
No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Jira requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.
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