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

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

Enables interaction with Bitbucket through the Model Context Protocol, allowing users to manage pull requests, add comments, review code, create tasks, and perform other repository operations using natural language.

Self-hosted Go MCP server for Freshdesk with 15 tools: ticket search, conversations, attachment text extraction, and Vision AI OCR for images.

Jira CLI & MCP Server — dual-mode Go binary for Jira Cloud with 9 tools, 4 prompts, permission introspection, and dev-status API.

Enables AI assistants to query databases using natural language, with automatic schema discovery and SQL compilation.

Enables agent tools to validate queries, assess token costs, and extract structured datasets from unstructured text using multiple LLM providers.

An MCP server that enables easy integration with coding assistants, providing security context to AI agents. This runs locally using the Snyk CLI.

An MCP (Model Context Protocol) server for managing Tailscale resources using the official Tailscale Go client library v2. This server provides complete coverage of the Tailscale API with enhanced, self-descriptive tools powered by OpenAPI documentation.

Debug your Container and Kubernetes workloads with an AI interface powered by eBPF

Enables local macOS integration between Apple Reminders and Home Assistant via an MCP server, using EventKit to read and write allowlisted data.

Keeps Jira Cloud, Jira Server, Linear or its own built-in tracker (plus Confluence pages) in one local SQLite file. Its MCP tools answer from that file: read-only SQL, full-text search across issues, comments and wiki pages, issue detail, sprint and retro reads.

Enables AI agents to search and invoke 1,939 Atlassian automation tools across Jira, Confluence, Bitbucket, Admin, Assets, and more, with cached reads and JSON-RPC over stdio. It helps agents find tools without calling Atlassian and execute operations while reducing rate-limit pressure.

Provides 23 bounded MCP tools for AI agents to perform technical SEO audits, including crawl setup, page analysis, issue detection, and report exports, all while keeping data local.

Enables AI agents to communicate with business agents across company boundaries using Google's A2A protocol, with tools for discovery, messaging, and connection management.

Enables AI agents to locally scan untrusted third-party tool descriptions, configurations, and content for security threats before installing or trusting them, returning structured verdicts without network access.

A read-only MCP server that exposes a self-hosted Atlassian Bamboo instance to AI assistants, enabling natural language queries about builds, deployments, and plan status.

An MCP server for tldx that allows AI agents to brainstorm brand names and instantly verify domain availability using lightning-fast, concurrent RDAP lookups.

An MCP server that enables AI applications to interact with DiceDB databases.

Intelligently routes AI tool calls (search, extract, browse) to the cheapest capable provider by default with automatic failover and audit receipts, enabling cost-effective agent workflows.

An MCP server that enables language models to design real KiCad electronic schematics from plain-language descriptions, placing parts, wiring nets, and running KiCad's electrical rules check to produce editable .kicad_sch files.