"Extracting Images from Search Results" matching MCP servers:

Enables search and management of Azure DevOps work items and wiki pages via MCP, wrapping the ado-search CLI.

Enables an MCP-capable coding agent to run a local-first job search: recording verified opportunities in a private SQLite tracker, tracking follow-ups and outcomes, and preparing evidence-based resumes, application answers, and outreach drafts. It keeps all personal data on the user's machine and stops before submitting applications, uploading documents, or contacting anyone.

Local MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.

MCP server for managing test cases, cycles, and results in Zephyr Scale on self-hosted Jira. Enables AI agents to create, search, update, and delete test artifacts through natural language.

Provides read-only access to Jira, enabling users to retrieve issue details, comment threads, linked-issue context, epic children, and JQL search results as compact Markdown.

Gives local coding agents safe, read-only access to an existing Jira instance through MCP over stdio, keeping Jira credentials out of the LLM. It exposes tools for reading issues, comments, linked items, JQL search results, assigned open issues, and project metadata.

Enables interaction with QA Studio test management platform directly from Claude, allowing users to manage projects, create test runs, view test results, create test cases, and submit manual test results through natural language.

Enables AI assistants to interact with Xray Test Management for both Cloud and Server deployments. Supports test execution, importing results from multiple formats (JUnit, Cucumber, Robot Framework, TestNG), and managing test plans and executions.

Enables managing TestRail projects, suites, cases, sections, runs, tests, results, plans, milestones, and shared steps directly from MCP-supported AI clients.

Enables SEO task management, including estimating, submitting, and monitoring jobs, retrieving results, and exporting CSV/JSONL data.

Enables AI agents to interact with TestMonitor projects, test cases, test runs, results, issues, and more through a local stdio MCP server generated from the official REST API specification.

Enables extracting action items from meeting transcripts and managing them in Notion, with duplicate detection and human review.

This MCP server enables interaction with Atlassian products (Jira and Confluence), with additional tools for uploading attachments, embedding images, and commenting with images. It supports both Cloud and Server/Data Center deployments.

Enables AI coding agents to read, search, triage, and fix website and asset feedback from Simple Commenter, including commenting, replying, exporting, and project management via MCP.

Enables managing Jira tickets via Cursor AI, allowing users to create, search, update, and comment on issues directly from the AI assistant.

Enables MCP-capable AI assistants to search and retrieve past Jira issues, resolutions, and recurring topics from a fully local embedded knowledge base using hybrid semantic and keyword search.

Enables end-to-end automation of developer workflows from Jira issue tracking to GitHub pull requests through natural language, allowing developers to search issues, create branches, commit changes, and manage PRs directly from their IDE.

Enables AI agents to interact with Gmail for classifying messages, extracting action items, and performing batch inbox triage. It supports automated labeling, smart replies, and task creation for external platforms like Linear, Jira, and Todoist.

Integrates with Siemens Polarion ALM to manage test cases, test runs, and results, with support for JUnit import and spreadsheet export.

Fetches Jira attachments and returns them inline (for small images) or as local paths for larger files and other types, enabling AI models to access Jira attachments directly.