"Resources and Tools for Frontend Development (e.g., Jira, Figma, GitHub)" matching MCP servers:

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Fast, quota-free Figma automation for coding agents, enabling AI agents to read, edit, migrate, audit, screenshot, and prototype inside Figma Desktop files.

Enables AI assistants to create and modify native Figma canvas designs through a companion desktop plugin, generating AutoLayout UI trees, UX state matrices, and interactive component variants while auditing cognitive UX heuristics and user journeys.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Exposes GitHub issue and pull-request triage capabilities to any MCP client: fetching repository context, classifying and prioritizing requests, finding duplicates, and applying labels, comments, assignments, closures, or reopenings. All writes are policy-gated, dry-run by default, and destructive actions require explicit two-step human confirmation.

An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.

Provides computational tools for systematic reasoning, including boolean evaluation, date arithmetic, object counting, state tracking, and format validation, to enhance agent capabilities and eliminate calculation errors in reasoning tasks.

Enables Claude Desktop and other AI tools to interact directly with Figma, allowing for powerful AI-assisted design capabilities through natural language commands.

Enables AI agents and project managers to turn GitHub Projects v2 into an autonomous project-management layer, handling task checkout, atomic claims, heartbeats, reviews, token budgets, and AI-powered PRD, sprint, triage, and roadmap workflows. It also provides GitHub Actions, Releases, Branches, MCP Resources, and MCP Prompts support with GitHub-native storage.

MCP server for file and directory operations with enterprise-grade security, enabling autonomous AI development workflows.

Enables AI coding agents and human managers to coordinate work on GitHub Projects v2 through 20 tools and 169 actions for autonomous task checkout, heartbeats, reviews, token budgets, PRD generation, sprint planning, issue triage, and PRD-to-issues pipelines, backed by GitHub-native storage and MCP resources/prompts.

An MCP server that lets Claude control a Minecraft bot with 40+ actions including movement, combat, crafting, and inventory management. Built on Mineflayer, it supports Microsoft authentication, pathfinding, and auto-reconnect.

Enables Claude Agent SDK agents to safely operate a remote user machine via a WebSocket tunnel, providing six client__* MCP tools with path fencing and phase-switch adjudication.

Turns GitHub Projects v2 into an agentic project-management layer where AI coding agents can register, claim tasks, coordinate, submit work for review, and enforce token budgets, while humans can generate PRDs, plan sprints, triage issues, and create roadmaps using GitHub-native storage.

Turns GitHub Projects v2 into an agentic project-management layer where AI coding agents register, atomically claim and self-assign tasks, heartbeat, review each other's work products, and operate within token budgets. It also exposes 20 compound tools (169 actions) plus MCP resources, prompts, and sampling for AI-powered PRD generation, task breakdown, sprint planning, issue triage, and a PRD-to-issues pipeline, all stored natively in GitHub with no external infrastructure.

Enables AI coding agents and project managers to turn GitHub Projects v2 into an autonomous project management layer with task checkout, multi-agent swarms, PRD-to-issue pipelines, sprint planning, triage, and GitHub Actions/Releases/Branches support via 20 compound tools and 169 actions.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables AI agents to register, claim tasks atomically, coordinate via heartbeats, and submit work for review while human managers generate PRDs, plan sprints, triage issues, and materialize tasks into GitHub issues using GitHub-native storage.

Enables AI coding agents and teams to turn GitHub Projects v2 into an autonomous task substrate for registering, claiming, tracking, reviewing, and completing work, while also supporting AI-powered PRD generation, sprint planning, issue triage, roadmap creation, GitHub Actions/releases/branches, and MCP resources/prompts.

A local-first MCP server that connects AI clients to Figma via a WebSocket bridge and native plugin, enabling deterministic design operations like inspection, creation, mutation, styling, validation, and optimization.

Turns GitHub Projects v2 into an autonomous agentic task substrate where AI coding agents register, atomically claim tasks, heartbeat, submit and review work products, and operate under per-agent token budgets — all stored natively in GitHub issues, fields, and comments with no external infrastructure. It also gives humans AI-powered PRD generation, task breakdown and materialization, sprint planning, issue triage, and requirements traceability across 20 compound tools exposing 169 actions, plus MCP resources and prompts.

Enables AI coding agents to use GitHub Projects v2 as a shared task substrate, with registration, atomic task checkout, heartbeats, budgets, peer review, and self-healing coordination. It also automates PRD-to-issue pipelines, sprint planning, triage, roadmaps, GitHub Actions, releases, and branch workflows through MCP tools, resources, and prompts.

Turns GitHub Projects v2 into an agentic project management layer where AI coding agents register, atomically claim and track tasks, heartbeat, review each other's work, and operate within token budgets, all backed by GitHub-native storage with no external infrastructure. It also gives humans AI-powered PRD generation, PRD-to-issues pipelines, sprint planning, triage, roadmap creation, and requirements traceability across 20 compound tools exposing 169 actions, plus MCP resources, prompts, and sampling support.

Enables AI coding agents to use GitHub Projects v2 as an autonomous task backbone, with task checkout, atomic claims, heartbeats, peer review, token budgets, and PRD-to-issues automation. It also supports AI-powered sprint planning, issue triage, roadmap generation, and MCP resources/prompts.

Enables AI coding agents and human managers to turn GitHub Projects v2 into an autonomous project-management layer with task checkout, multi-agent coordination, PRD-to-issues pipelines, sprint planning, triage, token budgets, and GitHub Actions/Releases/Branches through MCP tools, resources, and prompts.

Enables AI coding agents and human managers to turn GitHub Projects v2 into an autonomous task backbone, coordinating multi-agent work, generating PRDs, planning sprints, triaging issues, and shipping code through GitHub-native storage and 20 tools exposing 169 actions.

A server that enables natural-language queries about GitHub repositories and returns answers backed by live GitHub data.

Provides five rigorous reasoning protocols (debate, red team, audit_argument, threat_model, check_study) that run on the AI you're already using, requiring no extra API keys or costs.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.