"Using an MCP server with Atlassian JIRA to extract ticket descriptions" matching MCP servers:

Enables MCP clients to extract validated typed records from unstructured text using named schemas, with schema listing and extraction tools. It returns validated JSON or tool errors, optionally using an offline parser or an OpenAI-compatible model with retries on validation failures.

Enables management of a local-first, per-repo ticket board with git/PR pipeline using markdown files and MCP tools for ticket operations.

Enables AI agents to manage a file-backed ticketing system directly within a local repository using a structured state machine and directory hierarchy. It enforces strict markdown schemas and provides specialized tools for claiming tasks, appending work logs, and validating ticket metadata.

An AI-powered support ticket management system that lets users retrieve, search, and update support tickets using natural language.

Enables natural language querying and semantic search over a bilingual customer support ticket dataset using SQL and embeddings.

Enables an AI assistant to reliably read and chunk PDF/text documents, validate extracted JSON against a schema with full error paths, and save structured output—all confined to a single allowed directory.

Enables natural-language interaction with self-hosted Jira and Bitbucket, providing tools for ticket management, pull requests, code review, and git context.

Enables AI assistants to interact with Jira by executing commands through the Atlassian CLI. It supports searching issues with JQL, managing comments, updating statuses, and handling issue assignments through natural language.

MCP server that enables accessing Jira and Confluence using browser cookies captured via a Chrome extension, avoiding the need for API tokens or browser automation. It wraps the mcp-atlassian toolset and works with Atlassian Cloud and Server/Data Center behind SSO.

Provides deterministic, schema-driven structured data extraction from PDF documents via regex/heuristic matching, enabling repeatable, inspectable, and cost-free field extraction without LLM API calls.

Extracts any Instagram post, reel, or multi-slide carousel and converts captions, OCR text, and metadata into structured screener filters such as PER, PBV, ROE, RSI, and volume for reusable IG-to-screener workflows.

A read-only MCP server for Jira and Confluence Cloud, providing atlassian_get and jira_search tools.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

Enables structured document understanding of local PDFs via a dual-extract MCP server, combining MinerU text/layout and Qwen3-VL vision with fusion adjudication for field extraction, tables, formulas, and validation. Fully local and offline.

MCP server that turns video URLs into transcripts and important keyframes locally, with no cloud or API keys.

Enables Claude Code and other MCP clients to run live JQL and CQL searches and read Jira Cloud issues, comments, and Confluence Cloud pages on your own machine, with no local index and nothing cached outside those products. Access is read-only and scoped to your own Atlassian account permissions.

Exposes a ticket classification tool that categorizes support tickets by severity, category, sentiment, and summary via MCP, using the Anthropic API for classification and packaged as a Claude Desktop extension.

Enables coding agents to search and read Jira Cloud issues with read-only, per-project access controls while keeping the API token in the OS keychain.

Enables AI assistants to search and retrieve data from Jira and Confluence directly within MCP-compatible IDEs. It provides tools for managing Jira tickets and Confluence pages using OAuth 2.0 authentication and Hexagonal Architecture.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.