Enables users to upload files and generate tracked, shareable links directly from AI agents like Claude Desktop or Cursor. It supports publishing various file formats including text, PDFs, and images, while providing tools for artifact management and analytics.
Production-ready MCP server with session memory, Brave Search, Vertex AI Discovery Engine, Google Gemini analysis, and sandboxed code-mode transforms.
A Model Context Protocol server that provides tools for searching private GitHub repositories, enabling access to repository files, commit history, and issues with automatic handling of rate limiting and error handling.
Enables Claude and other MCP clients to interact with PrMaat identities, rooms, and audit proofs via tools like prmaat_me, prmaat_verify, prmaat_rooms_list, prmaat_room_read, prmaat_room_post, and prmaat_audit_proof.
MCP server for Procore APIs
A local MCP server that provides LLM clients with read/write access to email and calendar data from Gmail, iCloud, and generic IMAP providers. It runs entirely on your machine, keeping data private while enabling email management, calendar operations, and task handling through natural language.
Provides tools for managing a product catalog, including functions to list, add, and retrieve product statistics. It enables AI agents to perform inventory operations and data analysis through a standardized interface.
A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.
Enables AI agents like Claude Code and ChatGPT to build GitHub profile SVG cards using ProfileKit's 28 card types and 17 themes via natural language.
Enables management of the Proflores budgeting system, allowing users to interact with catalogs for clients, projects, and resources. It supports comprehensive budget operations including creation, item updates, and Unit Price Analysis (APU) through a Supabase backend.
A generic, modular server for implementing the Model Context Protocol (MCP).
全面解析Project Setup GuideMCP 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，Project Setup Guide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。
Hardware-accelerated codebase mapping that indexes Git repositories into Postgres/pgvector and serves code search, relationships, and static analysis results via a stdio MCP server.
Enables rapid creation of new projects from predefined templates including React, Node.js, Django, Flask, and more. Provides comprehensive project scaffolding with file system operations, template management, and command execution capabilities.
Provides tools for analyzing project structures, searching through codebases, managing dependencies, and performing file operations with advanced filtering capabilities.
Provides AI-driven project memory management through structured prompts that help Claude parse tasks from specs, review code changes, sync with commit history, and maintain project documentation without directly accessing files.
# Connect this server (installs CLI if needed)
命令预览
npx -y smithery mcp add emmanuel/projects-emmanuel
A MCP Server for Prometeo API
A unified MCP server with composable tools for GitHub operations, file management, shell execution, kanban boards, Discord messaging, and package management. Features role-based security, HTTP/stdio transports, and a web-based development UI.
Query Prometheus from CLI or any MCP client, with retries, caching, and an optional metrics exporter.
