"Figma design tool and resources" matching MCP servers:

Bridges Claude Code with Claude Design, enabling sending design instructions, reading replies, and pulling generated files into the codebase.

Zero-dependency Python MCP server for coding agents (Antigravity, Claude Code, Cursor, Windsurf). Unfreezes 915+ skills on-demand, injects 74 brand design tokens (Linear, Stripe, Apple), and validates WCAG contrast.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Aggregates and routes multiple MCP servers with intelligent tool recommendation and batch parallel execution, enabling unified access and efficient tool usage.

Enables Claude Code to dispatch opencode CLI tasks as background processes with immediate task handle return, status polling, and result retrieval, avoiding tmux and log parsing issues.

An MCP proxy that embeds tool definitions and returns only the top-k semantically relevant tools per query, reducing context usage and routing calls to upstream MCP servers.

AI Design Blueprint is a doctrine and runtime standard for agentic AI: 10 principles, 16 laws, and Pro/Teams validators your coding agent calls over MCP.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

Sub-15ms edge intelligence tools for Claude Desktop, Cursor, and LLM agent loops. Provides sub-millisecond LLM JSON repair, web-to-markdown token compression (cuts context tokens up to 90%), PII redaction, and RFC 5322 B2B email deliverability verification at zero marginal token cost.

Central registry for AI tools with vector search and knowledge graph, enabling intelligent tool discovery, chaining, and execution via MCP.

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

Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.

A production-grade MCP server that provides a centralized microservice toolkit for LLM agents, enabling web search and extensible tool integration.

A lightweight Model Context Protocol (MCP) orchestrator designed for efficiency at scale. It features TOON compression (reducing token usage by 30-90%) and Lazy Loading, making it the ideal solution for complex, multi-tool agentic workflows.

A single MCP server that provides dynamic access to thousands of APIs through discovery and proxy, eliminating the need to install and configure multiple separate MCP servers.

A standalone MCP Tool Registry server providing generic tool search and discovery for MCP clients, reducing token consumption and improving tool selection accuracy.

Multi-agent orchestration server that enables parallel task delegation, sequential pipelines, cron scheduling, and cross-model peer review via CLI providers like Codex, Antigravity, OpenCode, and Claude Code.

Bridges AI language models with Penpot design platform, enabling AI assistants to analyze, search, and interact with design files programmatically for automated design workflows.

LLM Driven Trading Platform Orchestration - Strategy Design, Research & Implementation

A server that implements the Model Completion Protocol (MCP) to allow LLMs to interact with Databricks resources including clusters, jobs, notebooks, and SQL execution through natural language.

Enables coding agents to discover live visual design references, inspect original sites as MCP images, analyze elements and motion, and verify implementation constraints during an original design workflow.

Enables users to access and coordinate Playwright, Figma, Chrome DevTools, Shopify Dev, and Context7 tools through a single MCP connection, with response optimization, caching, and automatic session recovery.

Enables deploying applications and managing cloud resources in Timeweb Cloud through natural language.

Enables coding agents to coordinate around shared project context, durable tasks, messages, artifacts, multimodal analysis requests, design-system checks, change proposals, and review requests through a compact MCP interface. It persists state locally in JSON and exposes tools, resources, and prompts for agent-to-agent workflows.

An MCP server that provides a long-running tool with configurable timeouts and periodic progress notifications, preventing Claude Code from disconnecting during healthy long tasks.

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

A Model Context Protocol server that provides Coze resources and tools for managing workspaces, bots, and conversations.

Enables AI agents to securely control a user's existing Chrome profile locally, providing typed browser actions, form and editor support, WordPress workflows, terminal automation, and Figma inspection with policy-based authorization and redacted auditing.

Enables AI agents to store and execute reusable protocol chains across sessions, driving multi-step procedures deterministically through activate, forward, and reward steps while echoing server-issued nonces, hashes, and URIs. Provides persistent memory and agent-oriented tool descriptions, resources, and error messages so agents can follow local procedures reliably in a fixed execution order.

Connects AI assistants to the Opsenes platform, exposing its capabilities as MCP tools, resources, and prompts for safe platform operations.