Provides instant access to MCP development documentation, best practices, production checklists, common mistakes, architecture patterns, and testing strategies to help developers build production-ready MCP servers.
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Turns any OpenAPI specification into a fully working MCP server with a single command, enabling AI agents to call APIs without writing any glue code.
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Enables semantic code search across multiple repositories using natural language queries. Provides intelligent code discovery, symbol lookups, and cross-repo dependency analysis for AI coding agents.
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Create a new MCP server in TypeScript, batteries included.
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Provides programmatic access to MCP server testing, debugging, and validation capabilities by wrapping the official MCP Inspector. Enables users to test tools, validate protocol compliance, discover server capabilities, and debug MCP servers through natural language interactions.
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The .NET visual testing tool for MCP servers
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A basic MCP server template that provides a foundation for building custom tools, resources, and prompts. Serves as a starting point for developers to create their own MCP server functionality.
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This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.
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A secure two-layer MCP integration system that connects local thin clients to a Google Cloud backend for authenticated access to internal corporate tools. It enables users to manage Odoo ERP records, Shopify products, and internal knowledge bases through natural language commands.
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Enables automatic GitHub issue creation from Git diffs. Generates structured issue templates with summaries, technical notes, and appropriate labels based on code changes.
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A gateway service that connects AI assistants to numerous external tools like Notion, GitHub, and Google Workspace through a single Model Context Protocol endpoint. It provides a centralized hub for managing multiple tool integrations with secure authentication and a unified API architecture.
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Sample of an MCP server using Spring AI with Java
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全面解析MCP JetbrainsMCP 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，MCP Jetbrains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。
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- 安装状态
- 已补齐
命令预览
npx &>/dev/null && sudo ln -sf "$(which npx)" /usr/local/bin/npx`。
Jina Reader MCP Server
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MCP Server using Jira Client v2 to handle Jira Issues
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A zero-configuration job aggregation server that enables searching for positions and retrieving details across multiple recruitment platforms using natural language. It provides standardized data for job requirements, salary comparisons, and market trends directly within AI clients.
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An MCP server that enables searching for jobs across Australian platforms (Seek and LinkedIn) from Claude or any MCP-compatible client, with filters for location, salary, employment type, and more.
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全面解析MCP JoernMCP 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，MCP Joern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。
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Enables AI clients to interact with Joplin notes through the Web Clipper API. Supports searching, reading, creating, deleting, and organizing notes and notebooks, plus scanning for uncompleted todo items.
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A Model Context Protocol server for comprehensive Jupyter notebook manipulation, featuring position-based cell operations and bulk editing. It includes specialized integration for VS Code to synchronize notebook changes and trigger file reloads.
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