"Permission requirements to create and edit issues in Jira using MCP" matching MCP servers:

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.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

MCP server for Atlassian Confluence and Jira, enabling AI assistants to search, create, and update issues and pages via natural language.

Enables interaction with Atlassian Confluence and Jira through natural language, allowing users to search, create, update, and transition issues and pages.

AI-powered incident management MCP server that enables investigation, root cause analysis, and response actions for production incidents using mocked data for demo purposes.

MCP server that generates images using Gemini 3 Pro Image on Vertex AI, with support for reference images, task management, and GCS integration.

MCP server for the Trading 212 public API, enabling account, portfolio, order, pie, and history access with read tools always available and trading tools opt-in.

Enables local agents to connect to and interact with Google Colab sessions running in the browser.

Provides CodeQL language intelligence to AI agents via MCP, enabling completions, hover, definitions, references, diagnostics, formatting, and in-memory file updates for QL code.

A multi-agent RAG MCP server that answers questions from your documents with a human-in-the-loop approval step, using a coordinator, retriever, and synthesizer agents.

MCP server for managing ParchMark notes via Claude Code/Desktop. Provides tools to list, get, create, update, and delete notes through natural language.

Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.

COS-MCP is an MCP server that provides AI-powered organizational continuity planning. It maintains a knowledge graph of employees, systems, projects, and relationships, and exposes tools, resources, and prompts for knowledge graph visualization, risk analysis, employee transition planning, and organizational knowledge base queries.

Enables AI assistants to perform defensive security tasks such as vulnerability detection, CVE lookup, phishing/link safety checks, and security report generation via MCP tools.

Enables lifecycle management of Devin ACP sessions as subagents over MCP, supporting parallel dispatch, blocking coordination, mid-flight steering, permission adjudication, and crash-resilient session persistence.

An MCP server that enables AI assistants to read, create, and manage issues, repositories, and releases on Gitea, Forgejo, or Codeberg instances via personal access tokens.

An MCP server that fetches web pages and extracts clean, AI-friendly Markdown content using Mozilla Readability. It provides secure web access for LLMs with built-in SSRF protection and automated content cleaning for improved context retrieval and summarization.

An MCP server for Tendem that enables users to complete tasks using a hybrid of AI and human agents. It allows for seamless task delegation and management within MCP-compatible clients.

A dedicated MCP and REST service that searches grocery retailers directly and returns reviewable product links, enabling users to find products and create handoffs without adding to carts or placing orders.

A multi-domain MCP server that exposes a small, stable surface of three tools (list_domains, list_domain_tools, call_domain_tool) to gate access to various tool domains like Plane and BloodBank, preventing agent schema overload.