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

Enables secure file system operations (read, write, delete) and simulated command execution with server-enforced permission policies, risk assessment, and human-in-the-loop approval.

Intent-based permission system with risk scoring, rule engine, and audit trail for AI agents.

Enables triage of GitHub issues by fetching and filtering issues, checking claim status, and listing new open issues across a watch-list.

Enables management of software requirements in compliance with IEC 62304 Class C medical device standards, including requirement creation, versioning, traceability matrix generation, and risk control integration.

Enforces fine-grained, context-aware access control on MCP tool calls, with a tamper-evident, replayable audit log that records denials and verifies every decision.

A pre-action authorization server for AI agents that classifies tool calls into 14 intent categories, scores risk 0-100, and produces deterministic allow/deny/ask decisions with full audit trail.

Enables AI assistants to list, search, and inspect issues on any public GitHub repository via natural language.

Exposes GitHub issue operations as tools for LLM agents, enabling listing, creating, commenting on, closing, and searching issues via natural language.

An async MCP server for JIRA integration, enabling AI assistants to search, create, and manage JIRA issues via JQL and other operations.

Lets agents read a GitHub repository's live issues through read-only tools for listing, filtering, fetching details with comments and cross-references, searching, and exploring labels and milestones, with transparent pagination and provenance notes.

Enables MCP clients to read and create Jira issues against Jira Cloud or Data Center through a self-hosted FastMCP server with secure authentication and configurable fields.

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

Enables AI assistants to search, validate, and edit OpenStreetMap data through natural language commands and built-in safety protections. It supports discovery of nearby amenities, geographic data exploration, and secure map editing via OAuth authentication.

Architectural Gatekeeper for AI coding. Prevents "tunnel vision" bugs by forcing the AI to verify dependencies (via AST parsing) before editing files. Supports JavaScript & TypeScript. Blocks unsafe edits until the AI proves it understands the impact

An MCP server for Jira Data Center that enables searching, analyzing, and managing Jira through its REST API, with permission policy, preview-before-change, audit trail, and reporting tools.

Enables editing text in existing PDFs by modifying content stream operators, preserving original fonts and positions. Provides fidelity reports on every edit, indicating font preservation, substitution, overflow, and other degradations.

Enables AI assistants to discover, filter, and triage GitHub issues across repositories, with tools for fetching issue details, listing issues by state/labels, and finding related pull requests.

Provides comprehensive file system operations including reading, writing, searching, patching, code analysis, SSH transfers, and git operations, while aiming to reduce token usage in Claude Desktop.

Enables fetching weather forecasts for the USA via NWS API and for Israel via browser automation using Playwright.

MCP server for Jira ticket context via REST API — read issues, search, post comments with @mentions.