"Spring Security" matching MCP servers:

Enables users to manage projects and retrieve random wallpapers through a TypeScript-based MCP server. Supports project queries, creation, and Bing wallpaper retrieval with Spring Boot-style architecture.

A security-hardened MCP server for TickTick that enables managing your tasks directly through any MCP-compatible client.

Enables natural language management of Azure DevOps work items, sprints, and boards through MCP. Supports multi-project, enterprise authentication, and Docker deployment.

A security-focused Model Context Protocol server for task management over stdio, backed by SQLite. It exposes tools to create, list, complete, delete, and search tasks with strict validation, parameterized SQL, confirmation for deletes, and full audit logging.

A stdio MCP server for workspace-parameterized task CRUD on SKRYE with row-level security, enabling task management through natural language.

Enables agile sprint backlog velocity calculation and milestone completion prediction for Linear, integrating with MCP-compatible clients through a zero-dependency Python server.

A government-oriented MCP server implementing security controls for AegisReader development with features including task management, security analysis, and secure operations functionality.

Enables issue search, creation, updates, comments, status transitions, and project listing in Jira, purpose-built for security incident management and SOC workflows.

Enables AI assistants to interact with SMB platform APIs for querying business data, managing tasks, accessing connectors, dashboards, and monitoring security.

Enables LLM agents to manage structured sprint-based development workflows following the Sprint Protocol, including sprint initialization, status checking, and manifest generation.

Enables AI coding agents to orchestrate the full software development lifecycle on GitHub, including planning, issue creation, code review, security triage, and release readiness checks.

A Model Context Protocol server that provides SD Elements API integration, enabling LLMs to interact with SD Elements security development lifecycle platform.

Bridges local development environments with the Engineering Intelligence Platform (EIP), enabling AI coding agents to manage SSOT, generate implementation/test/security plans, and synchronize architectural knowledge.

An MCP server that turns CI failures, pull requests, security alerts, and Slack threads into Linear issues, Slack posts, changelogs, docs, and reports with evidence attached, through 25 agent-run workflows over 59 tools spanning GitHub, Linear, Slack, Notion, Google Docs, Google Calendar, Google Sheets, Firecrawl, and Tavily. It also handles credential setup in the OS keychain and pauses for approval before any create, send, change, or delete call.

A Model Context Protocol (MCP) server that enables LLMs to interact with Plane.so, allowing them to manage projects and issues through Plane's API. Using this server, LLMs like Claude can directly interact with your project management workflows while maintaining user control and security.

MCP server for project management automation, providing tools for project health, documentation, task management, security scanning, and CI/CD validation.

A production-ready MCP server enabling AI assistants to interact with Jira projects, issues, sprints, users, attachments, and worklogs via natural language, with support for both local stdio and remote HTTP transports, dual authentication methods, and enterprise-grade security controls.

Bridges a self-hosted Hermes agent to remote MCP clients over Streamable HTTP, exposing kanban and vault tools via its REST API. It enforces strict security through Cloudflare Access JWT validation and prevents the agent from approving its own work.

A reusable AI software development team built on MCP. 13 specialized agents (Project Manager, Backend, Frontend, QA, Security, DevOps, UX, and more) collaborate via shared SQLite state. Exposes 44 MCP tools across 12 domains. All discussions and decisions are stored in the database so agents get back up to speed immediately when re-loaded.

Enables agile sprint backlog velocity calculation and milestone completion prediction through the Model Context Protocol, integrating with MCP-compliant clients for deterministic, low-latency forecasting.