"Information about Jira Integration" matching MCP servers:

Enables intelligent analysis of regression test failures and automatic discovery of solutions in JIRA. Analyzes test logs using AI-driven algorithms and matches errors with relevant JIRA issues through natural language interactions.

Provides AI assistants with tools to query, filter, and analyze JIRA issues stored in Snowflake, enabling natural language interaction with issue data.

Enables execution of Snowflake stored procedures through the MCP server by providing a framework to define, manage, and call procedures from specific schemas or individual procedures.

Provides read and write access to Atlassian Jira Assets (formerly Insight) via MCP, enabling AI clients to fetch objects, discover schemas, update fields, and apply bulk changes. Includes a review dashboard for bulk editing.

A Model Context Protocol server that provides access to JIRA issue data stored in CSV files, enabling AI assistants to query, filter, and analyze JIRA issues through standardized tools.

This read-only MCP Server allows you to connect to Jira data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Connects Claude to Zoho CRM with read-only access, enabling natural language queries to search records, list modules, retrieve field information, and count records using OAuth authentication.

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.

Enables agents to interact with Salesforce, Atlassian (Jira/Confluence), and Supabase through standardized tools and resources. Provides both read-only access for querying data and write operations for managing records across these enterprise platforms.

MCP server enabling AI agents to programmatically connect to and control Apache Superset instances, allowing users to manage dashboards, charts, databases, datasets, and run SQL queries through natural language interactions.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Assets (beta): https://www.cdata.com/download/download.aspx?sku=KNZK-V&type=beta

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta

Integrates Jira with Cursor IDE for AI-powered issue management, sprint tracking, library vulnerability analysis, and MySQL database queries through natural language.

A Model Context Protocol server that allows execution of SOQL queries and interaction with Salesforce data through a standardized interface.

A secure Model Context Protocol implementation that enables AI agents to query PostgreSQL databases through predefined tools for employee, project, and issue data. It protects sensitive credentials and prevents arbitrary SQL execution by acting as a controlled connector layer between the LLM and the database.

Enables AI assistants to save and manage question-and-answer pairs within a structured Notion database. It provides tools for database setup, entry creation, and querying existing conversation history.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

Enables access to the Hugging Face Hub API to search and retrieve information about machine learning models, datasets, and their metadata. Provides comprehensive tools for exploring the Hugging Face ecosystem including model details, dataset information, and parquet file access.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.