找到适合你的 MCP Server，快速完成接入

Supercharge your Agent with Semantic Code Intelligence and save 💰 in the process!

Bridges VSCode's Language Server Protocol with MCP to give AI assistants instant access to code intelligence, delivering 100-1000x faster responses with 90% fewer tokens than traditional text-based searching. Provides 17 production-ready tools for navigation, refactoring, diagnostics, and code analysis.

Scan codebases for LLM API calls and estimate monthly costs. Compare costs between git refs to catch cost regressions during code review.

Provides access to Tokyo's WBGT (Wet Bulb Globe Temperature) heat index forecast and real-time data from multiple observation points using Japan's Ministry of the Environment official data for heat stroke prevention.

A framework for building hot-loadable MCP tools that feature conversational negotiation, graduated permissions, and zero-downtime updates. It enables persistent state continuity across server restarts and provides a hypothetical evaluation system for tool actions.

toolhouse-community MCP-server-toolhouse

公开目录未提供摘要。

Toolkit MCP Server 2392c22c

A Model Context Protocol server providing LLM Agents with system utilities and tools, including IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.

Enables context capture and reinforcement learning by recording successful work patterns and creating reasoning chains for cross-conversation continuity. Automatically captures positive feedback through Claude Code hooks to build reusable success patterns.

Enables interaction with TOPdesk service management platform through comprehensive API integration. Supports incident management, operator/person operations, document conversion, and FIQL querying for streamlined IT service desk workflows.

An MCP server that provides tools for intelligently querying, analyzing, and retrieving datasets from Toronto's CKAN-powered open data portal. It enables AI assistants to perform natural language searches, inspect data structures, and track dataset update frequencies across the city's open data catalog.

An MCP server that enables AI agents to execute sandboxed JavaScript code to control external web applications in real-time. It utilizes WebSockets to synchronize script execution with frontend animations, allowing complex UI interactions to be handled in a single agent turn.

Claude Code plugin and MCP server that nudges you to take outdoor breaks based on local weather, sunset timing, and session streaks. Exposes check_grass_conditions, suggest_activity, log_touch_grass, and get_stats tools — fully local, no API keys, no cloud storage.

A Next.js MCP server that provides an inline roleplay configurator UI for Claude, allowing users to create and share persona-based roleplay scenarios through a simple web interface.

Zero-friction publishing platform that enables Claude Desktop users to publish artifacts to a personal GitHub Pages portfolio site through simple conversational commands.

A simple MCP server that provides two tools: one for counting specific letter occurrences within words and another for generating UUIDv7s.

A simple reference implementation demonstrating MCP server basics with two toy tools: generating random animals and simulating 20-sided die rolls.

Enables LLM clients to interact with a local tracker-server for checking schedule, retrieving statistics, registering tasks, and managing timers.

A professional tool for automatically generating enterprise-standard tracking code for H5, mini-programs, and native applications. It streamlines event tracking for API calls, user clicks, and UI interactions while supporting JIRA integration for task-specific tracking.

Enables trading automation through Zerodha Kite Connect API, allowing users to place buy/sell orders and fetch holdings via MCP tools accessible to Claude Desktop and other MCP-compatible clients.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.