"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 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 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 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 coding assistants to deploy and manage compatible web apps, isolated Postgres databases, and project file storage, while inspecting build logs, runtime errors, and usage through an OAuth-authenticated remote MCP connection.

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.

Enables integration with the Finam trading platform through Trade API. Provides access to account information, market data, trading instruments, and order management for Russian financial markets.

Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development.

Enables AI assistants to securely access and interact with Simplicate business data including CRM, projects, timesheets, and invoices through natural language. Supports searching across resources and retrieving detailed information about organizations, contacts, and project data.

Enables seamless integration between Claude and Dry smartspaces, turning conversations into persistent, structured data by creating memories and querying information.

Enables AI assistants to interact with Saleor Commerce instances to fetch data about products, customers, and orders through a read-only GraphQL API integration. Supports secure authentication and domain validation for connecting to Saleor cloud instances.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.

A FastMCP integration server that provides access to Apache Gravitino metadata management APIs, allowing users to manage catalog/schema/table metadata, tags, and user-role information through a structured interface.

An open-source Model Context Protocol application management platform that allows users to create applications from GitHub repositories with automatic information extraction and database integration.

An MCP server that provides detailed information about your development environment to the Cursor code editor, enabling more context-aware assistance.

A Python-based server that interacts with EPICS process variables, allowing users to retrieve PV values, set PV values, and fetch detailed information about PVs through a standardized interface.

Enables Claude to query, in read-only mode, the integration platform feature matrix, including platform status, coverage, and test information, so users can inspect integration capabilities without editing portal data.

An MCP server that provides standardized access to Pokemon data, allowing users to search, compare, and retrieve detailed information about Pokemon through natural language tools.

Manages sports video metadata with CRUD operations for game information, teams, scores, and statistics. Enables advanced search filtering by game type, teams, league, season, and date ranges through PostgreSQL integration.

Enables AI-powered natural language queries about BIT Information Portal (BIP) data by integrating with BIP APIs through session management. Uses Google Gemini to intelligently route questions to appropriate endpoints and generate contextual answers about students, departments, courses, faculty, and achievements.

Enables querying a Neo4j knowledge graph about Wroclaw University of Science and Technology using natural language. Converts user questions into Cypher queries and retrieves contextual information through an intelligent RAG pipeline with LLM-powered query routing.

Enables AI agents to query and act on SAP CAP travel domain data (travels, bookings, customers, agencies) via MCP tools, including unbound actions and security-aware access.

Enables intelligent form data collection for mediation/dispute resolution services through conversational AI. Supports structured information gathering, real-time validation, and database storage with integration for Cursor, Dify, and other LLM platforms.

A server that allows AI agents to query and retrieve information about upcoming events at Berghain nightclub through a DynamoDB-backed FastAPI service.

Enables searching and retrieving detailed information about Swedish companies, including financial data and annual reports from Bolagsverket (Swedish Companies Registration Office), with intelligent caching for fast responses.