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Context Optimizer MCP Server

Provides context optimization tools to extract targeted information rather than processing large files and command outputs in their entirety.

An MCP server that provides Xbox controller emulation capabilities, allowing users to programmatically control buttons, analog sticks, and triggers through an API interface.

cron MCP

An MCP server which allows your agent to schedule tasks and prompts at certain times.

全面解析CSA MCP ServersMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，CSA MCP Servers能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Ctvidic Whoop MCP Server

全面解析Ctvidic Whoop MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Ctvidic Whoop MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Local Brain/Hands/Eyes loop for AI coding agents. Persistent markdown knowledge vault with FTS5 search, sandboxed command execution via project-defined tools, and a feedback journal that compounds every session. 46 MCP tools. 100% local, 0% egress.

A Model Context Protocol (MCP) server for Cursor IDE that simplifies the installation and configuration of other MCP servers.

Cycles MCP Server

@runcycles/mcp-server

AI agents call LLMs, invoke tools, and hit APIs — but have no built-in way to cap spend. A single agent loop can burn hundreds of dollars before anyone notices. Cycles MCP Server gives any MCP-compatible agent a runtime budget authority: tools to check, reserve, spend, and release budget before and after every costly operation. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP host. Supports per-tenant budgets, soft-landing caps, and automatic heartbeat for long-running operations.

An MCP server that enables interaction with the Daft.ie API for searching rental properties and retrieving detailed information about specific rental listings.

Data4Library MCP Server

@isnow890/data4library-mcp

A comprehensive MCP server providing complete access to Korea's Library Information Naru API. Enables AI models to easily access all public library information, book searches, loan status, and reading statistics across South Korea.\\r\\n

Databox MCP

@databox/mcp-server

The Databox MCP server empowers your AI tools to talk to your data, enabling agentic analytics, automated data ingestion, and real-time conversational analytics. It transforms Databox into an intelligent backend for your LLMs, allowing tools like ChatGPT, Claude and Cursor to query metrics and KPIs across 130+ platforms using natural language with zero SQL required.\\r\\n\\r\\nUnlike standard read-only connectors, this server supports bidirectional workflows: your agents can autonomously ingest structured or unstructured data and trigger real-time decisions based on your business performance.

Db MCP 717c54fc

Database Model Context Protocol (DB-MCP) Server

Tamper-evident cryptographic audit trail for LLM outputs. Compliance logging for AI agent decisions. Tools: dcl_commit, dcl_verify, dcl_get_chain, dcl_report. Requires API key from fronesislabs.com

Dearuser MCP

@poisedhq/dearuser-mcp@latest

Tells you how you and your Claude agent actually work together. Reads your CLAUDE.md, hooks, skills, memory, and scheduled tasks — then writes you a letter. Three core tools: collab (collaboration scoring + lint), security (secrets scan, prompt-injection surfaces, rule conflicts), and health (orphan jobs, overlap, structural drift). Local-only — no API keys, no data leaves your machine. Source: github.com/bleedmode/dearuser

DeepCo MCP

A Chat Client for LLMs, written in Compose Multiplatform.

Deepmiro MCP

deepmiro-mcp

Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.\\r\\n\\r\\n

Deepsuthar496 Figma MCP Server

全面解析Deepsuthar496 Figma MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Deepsuthar496 Figma MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Deep Thinker

deep-thinker

Advanced cognitive thinking MCP server with DAG-based thought graph, multiple reasoning strategies, metacognition, and self-evaluation. A significant evolution beyond sequential-thinking MCP, providing structured deep reasoning with graph-based thought management. Features DAG-Based Thought Graph — Thoughts form a directed acyclic graph with branching, merging, and cross-edges (not just a linear chain) 5 Reasoning Strategies — Sequential, Dialectic (thesis→antithesis→synthesis), Parallel, Analogical, Abductive (inference to best explanation) Confidence Scoring — Multi-factor confidence evaluation with support/contradiction analysis, depth penalties, and knowledge integration boosts Self-Critique — Automatic critique generation with severity levels and confidence adjustments Metacognitive Engine — Detects stuck states, stagnation, declining confidence; suggests strategy switches and corrective actions Knowledge Integration — Attach external knowledge to thoughts, detect gaps, validate consistency across sources Thought Pruning — Dead-end detection, redundancy removal, deep unproductive branch elimination, path optimization

demo MCP

Testing MCP Server by Claude

DemoWay MCP Server

@demoway/mcp-server@latest

All existing AI page generation methods always start from scratch. No matter how long your prompt is or how many rounds of adjustments you make, you still can’t get the page you want, which wastes both time and tokens.\\n\\nIn fact, the page you want often already exists as a reference. \\n\\nDemoWay MCP Server makes this possible: It empower AI to use a single page or all pages within a workflow of an existing product as a basis to further modify and generate new designs or frontend code\\n\\nThis means the AI is no longer guessing or designing based on vague descriptions. Instead, it can modify and adjust based on the real, specific page context you provide, significantly improving the accuracy and efficiency of AI-assisted design.