Jira MCP Server is a Model Context Protocol server implementation written in TypeScript for seamless integration with Jira. It allows AI models to interact with Jira through a standardized interface, providing features such as full Jira REST API integration, connection pooling, comprehensive error handling, type-safe implementation, built-in rate limiting, and request logging.
The Jira MCP Server enables efficient interaction between AI models and Jira by offering a robust, type-safe, and performance-optimized solution. Its features like connection pooling, rate limiting, and error handling ensure reliability and scalability while integrating Jira's capabilities into external systems or workflows.
Jira MCP Server was developed by uddeshya-23, as indicated in the repository details. The project is open-source and hosted on GitHub under the username 'uddeshya-23'.
The Jira MCP Server is available on GitHub under the repository name 'uddeshya-23/mcp-server-JIRA'. You can clone the repository and set it up locally for development or production use.
You should use Jira MCP Server when you need to integrate Jira functionalities into an AI-driven application or workflow. It is particularly useful for scenarios requiring scalable, type-safe, and efficient communication with Jira's REST API.
You can install Jira MCP Server using npm by running the command: `npm install @modelcontextprotocol/server-jira`.
To set up Jira MCP Server, you need Node.js 14 or higher, npm 6 or higher, and the required environment variables configured (e.g., JIRA_HOST, JIRA_API_TOKEN, JIRA_EMAIL).
Jira MCP Server provides several API endpoints, including `/health` for health checks, `/api/v1/issues/:issueKey` for fetching issue details, `/api/v1/sprint/current` for current sprint information, and `/api/v1/analytics/workload` for workload analytics.
To start the server in development mode, run the command `npm run dev` after cloning the repository and installing dependencies.
Jira MCP Server is licensed under the MIT License, which allows for free use, modification, and distribution of the software.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.