"研发工作中最常用的10个MCP服务推荐" matching MCP servers:

基于MCP架构的微信公众号文章爬虫系统，支持AI智能体通过Selenium自动抓取微信公众号文章内容和图片，实现文章内容的智能分析。

Comprehensive quest orchestration system with KĀDI broker integration, multi-channel approval workflow, and Git-backed data storage.

Listens for Slack @mentions and publishes them as real-time events to the KĀDI event bus, enabling event-driven architectures with low latency.

Enables production lines to self-service register data sources and tools, and downstream AI agents to discover and invoke them through the standard MCP protocol.

An AI personality collaboration tool based on Model Context Protocol (MCP) that enables users to summon and collaborate with multiple AI personas for intelligent analysis and problem-solving.

An authenticated OpenAI-compatible inference gateway with an async job broker that bridges a coding agent to a ChatGPT MCP worker, enabling ChatGPT to process inference requests via a tunnel.

A modular quantitative trading assistant that integrates with XTQuant/QMT trading platform, enabling AI-assisted trading strategy generation, real-time trade execution, and performance backtesting.

Enables orchestration of multiple Claude Code sessions for complex multi-task coding projects with HEAD/SUB coordination and dependency-based task execution.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables Claude Code to benchmark llm-d from plain English, providing 35 tools and 5 workflow prompts for probing clusters, planning, deploying, running benchmarks, and analyzing results via the Model Context Protocol.

hermes-mcp-s is a modular MCP suite host for Hermes and other agents. It provides one stdio MCP server that can load long-lived personal automation capabilities as installable external modules.

Provides a unified multi-agent coordination layer with shared memory, wiki, skills, and file management via MCP tools, enabling agents to access and collaborate on resources in a single Python process.

Enables AI agents to manage Kanban boards, cards, sessions, and automations through a unified MCP interface with real-time updates, supporting delegation, agent sessions, and human-in-the-loop interactions.

Enables AI agents to manage tasks through a structured lifecycle (todo, in_progress, ai_testing, manual_testing, deployment, completed) with human approval gates, providing a single-user task management system with CLI, REST API, and live updates.

X adapter for SurfAgent that gives AI agents X-native verbs for navigation, extraction, posting, replies, likes, reposts, proof-first task execution, recovery, and deeper research workflows.

An OpenAPI-driven MCP agent hub that dynamically generates MCP tools from Swagger/OpenAPI specs, enabling conversational interaction with backend APIs through natural language.

Bridges Llama models with Claude Desktop through Ollama, enabling privacy-first local AI operations with 10+ built-in tools for file operations, web search, calculations, and custom model deployment. Features streaming support, hybrid intelligence workflows, and extensive Python ecosystem integration for research, development, and enterprise applications.

A Cloudflare Workers-based MCP server template for building remote MCP servers without authentication. Provides a starting point for deploying custom tools accessible from Claude Desktop or other MCP clients.

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

prevents llm from overload, freeze and oscillation