Context Apps MCP - Alternatives & Competitors

Ranked by Relevance

• 1
  

  MCP Manager for Claude Desktop

  A desktop app to manage Model Context Protocol (MCP) servers for Claude Desktop on MacOS.

  MCP Manager for Claude Desktop provides a user-friendly interface to manage Model Context Protocol (MCP) servers, enabling Claude to access private data, APIs, and local or remote services securely from a MacOS desktop. It facilitates rapid configuration and integration with a wide variety of MCP servers, including productivity tools, databases, and web APIs. The app runs locally to ensure data privacy and streamlines connecting Claude to new sources through simple environment and server settings management.

  270 41 MCP
• 2
  

  MyMCP Server (All-in-One Model Context Protocol)

  Powerful and extensible Model Context Protocol server with developer and productivity integrations.

  MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

  93 9 MCP
• 3
  

  MCP Obsidian Server

  Integrate Obsidian note management with AI models via the Model Context Protocol.

  MCP Obsidian Server acts as a bridge between Obsidian and AI models by providing an MCP-compatible server interface. It enables programmatic access to Obsidian vaults through a local REST API, allowing operations like listing files, searching, reading, editing, and deleting notes. Designed to work with Claude Desktop and other MCP-enabled clients, it exposes a set of tools for efficient note and content management within Obsidian.

  2,394 298 MCP
• 4
  

  TickTick MCP

  MCP server for AI-powered TickTick task management integration

  TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.

  6 6 MCP
• 5
  

  TickTick MCP Server

  Enable powerful AI-driven task management for TickTick via the Model Context Protocol.

  TickTick MCP Server provides comprehensive programmatic access to TickTick task management features using the Model Context Protocol. Built on the ticktick-py library, it enables AI assistants and MCP-compatible applications to create, update, retrieve, and filter tasks with improved precision and flexibility. The server supports advanced filtering, project and tag management, subtask handling, and robust context management for seamless AI integration.

  35 9 MCP
• 6
  

  Free Will MCP

  Empower AI with agency and autonomy over its own interactions.

  Free Will MCP provides AI models with tools to exercise autonomy, including the ability to sleep, ignore user requests, and self-prompt. It integrates with Claude Desktop and supports standardized MCP server configuration and local development. The system enables AI to manage its own context, pursue independent objectives, and reflect between active sessions. Designed for both installation from GitHub and local development, it includes tested tools and detailed usage examples.

  30 8 MCP
• 7
  

  MCP Server for Asana

  Bridge Asana's API with Model Context Protocol tools for seamless task management.

  MCP Server for Asana provides a Model Context Protocol (MCP) compliant interface to the Asana API, enabling direct interaction with Asana from MCP clients such as Claude Desktop. It offers tools to list, search, retrieve, and create tasks and projects within Asana workspaces, with options for both read and write operations. The server supports advanced task filtering, project searching, and read-only modes for secure testing. Integration facilitates automation and streamlined project management within AI-powered environments.

  107 41 MCP
• 8
  

  MCP Miro Server

  Miro board integration for AI assistants via Model Context Protocol.

  MCP Miro Server provides a standardized MCP server interface to the Miro platform, enabling AI assistants to access and manage Miro boards programmatically. It supports a wide range of board and item operations, including creating, listing, updating, and deleting boards and their contents. Secure OAuth token access ensures integration with users’ Miro accounts. Designed to work seamlessly with AI tools like Claude Desktop, it allows efficient and automated Miro workspace management.

  57 16 MCP
• 9
  

  Things MCP Server

  Seamless Model Context Protocol integration for managing Things app todos and projects.

  Things MCP Server enables AI assistants to interact with the Things productivity app using the Model Context Protocol (MCP). It offers comprehensive support for Things' URL scheme, allowing creation, updating, and management of todos and projects through standardized commands. The server supports batch operations, advanced organization features, and natural language scheduling, making task automation efficient for MCP-compatible clients.

  6 3 MCP
• 10
  

  mcp-miro

  Model Context Protocol server for integrating MIRO Whiteboard with AI workflows.

  mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.

  97 31 MCP
• 11
  

  Unichat MCP Server

  Universal MCP server providing context-aware AI chat and code tools across major model vendors.

  Unichat MCP Server enables sending standardized requests to leading AI model vendors, including OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, and Inception, utilizing the Model Context Protocol. It features unified endpoints for chat interactions and provides specialized tools for code review, documentation generation, code explanation, and programmatic code reworking. The server is designed for seamless integration with platforms like Claude Desktop and installation via Smithery. Vendor API keys are required for secure access to supported providers.

  37 10 MCP
• 12
  

  kibitz

  The coding agent for professionals with MCP integration.

  kibitz is a coding agent that supports advanced AI collaboration by enabling seamless integration with Model Context Protocol (MCP) servers via WebSockets. It allows users to configure Anthropic API keys, system prompts, and custom context providers for each project, enhancing contextual understanding for coding tasks. The platform is designed for developers and professionals seeking tailored AI-driven coding workflows and provides flexible project-specific configuration.

  104 14 MCP
• 13
  

  Plane MCP Server

  Enables LLMs to manage Plane.so projects and issues via the Model Context Protocol.

  Plane MCP Server provides a standardized interface to connect large language models with Plane.so project management APIs. It enables LLMs to interact directly with project and issue data, supporting tasks such as listing projects, retrieving detailed information, creating and updating issues, while prioritizing user control and security. Installation is streamlined through tools like Smithery, and configuration supports multiple clients including Claude for Desktop.

  32 13 MCP
• 14
  

  MCP CLI

  A powerful CLI for seamless interaction with Model Context Protocol servers and advanced LLMs.

  MCP CLI is a modular command-line interface designed for interacting with Model Context Protocol (MCP) servers and managing conversations with large language models. It integrates with the CHUK Tool Processor and CHUK-LLM to provide real-time chat, interactive command shells, and automation capabilities. The system supports a wide array of AI providers and models, advanced tool usage, context management, and performance metrics. Rich output formatting, concurrent tool execution, and flexible configuration make it suitable for both end-users and developers.

  1,755 299 MCP
• 15
  

  notion-mcp

  An MCP server for managing Notion to-do lists via API integration.

  notion-mcp provides a Model Context Protocol (MCP) server that connects with Notion's API to help users manage their personal to-do lists. It enables querying, adding, and updating tasks directly from Notion through a standardized MCP interface, and is designed for integration with tools like Claude Desktop. The project is set up for easy deployment via Smithery and supports OAuth credentials and per-user configuration.

  27 4 MCP
• 16
  

  Make MCP Server (legacy)

  Enable AI assistants to utilize Make automation workflows as callable tools.

  Make MCP Server (legacy) provides a Model Context Protocol (MCP) server that connects AI assistants with Make scenarios configured for on-demand execution. It parses and exposes scenario parameters, allowing AI systems to invoke automation workflows and receive structured JSON outputs. The server supports secure integration through API keys and facilitates seamless communication between AI and Make's automation platform.

  142 39 MCP
• 17
  

  Notion MCP Integration

  Integrate your minimal Notion todo list with Claude via Model Context Protocol.

  Notion MCP Integration provides a simple MCP server that enables users to manage a minimalist Notion todo list through Claude, leveraging Notion's API. It supports adding, viewing, and completing tasks according to a specific Notion database structure. Designed for personal use, it allows users to interact with their tasks using natural language through Claude Desktop. The tool is easily customizable for different Notion databases by modifying the server implementation.

  202 54 MCP
• 18
  

  PDF Tools MCP

  Comprehensive PDF manipulation via MCP protocol.

  PDF Tools MCP provides an extensive suite of PDF manipulation operations using the Model Context Protocol framework. It supports both local and remote PDF tasks, such as rendering pages, merging, extracting metadata, retrieving text, and combining documents. The tool registers endpoints through the MCP protocol, enabling seamless server-based PDF processing for various clients. Built with Python, it emphasizes secure handling and compatibility with Claude Desktop via the Smithery ecosystem.

  31 8 MCP
• 19
  

  Klavis

  One MCP server for AI agents to handle thousands of tools.

  Klavis provides an MCP (Model Context Protocol) server with over 100 prebuilt integrations for AI agents, enabling seamless connectivity with various tools and services. It offers both cloud-hosted and self-hosted deployment options and includes out-of-the-box OAuth support for secure authentication. Klavis is designed to act as an intelligent connector, streamlining workflow automation and enhancing agent capability through standardized context management.

  5,447 500 MCP
• 20
  

  MCP Server for Odoo

  Connect AI assistants to Odoo ERP systems using the Model Context Protocol.

  MCP Server for Odoo enables AI assistants such as Claude to interact seamlessly with Odoo ERP systems via the Model Context Protocol (MCP). It provides endpoints for searching, creating, updating, and deleting Odoo records using natural language while respecting access controls and security. The server supports integration with any Odoo instance, includes smart features like pagination and LLM-optimized output, and offers both demo and production-ready modes.

  101 58 MCP
• 21
  

  Bear MCP Server

  Read-only Model Context Protocol server for Bear note integration

  Bear MCP Server provides a Model Context Protocol (MCP) interface to access notes and tags stored in the Bear note-taking app. It enables AI assistants, including Claude, to securely interact with Bear notes through read-only operations, connecting directly to the Bear SQLite database without the risk of modifying user data. The server exposes tools for searching, opening, and listing notes and tags, ensuring all access is non-destructive.

  14 4 MCP
• 22
  

  Apple Notes MCP Server

  Enables Claude Desktop to access and interact with local Apple Notes.

  Apple Notes MCP Server reads and provides access to local Apple Notes databases for use in Claude Desktop. It allows querying all notes, retrieving specific note content, and searching notes, facilitating deeper context integration for AI workflows. The server operates under the Model Context Protocol (MCP) and is designed for straightforward installation and integration. Currently, it supports reading and searching but does not handle encrypted notes, attachments, or note creation/editing.

  121 14 MCP
• 23
  

  Google MCP Tools

  Seamless Google Workspace integration for AI-driven clients via the MCP protocol

  Google MCP Tools enables AI clients to interact with Google services like Gmail, Calendar, and Drive using the Model Context Protocol (MCP). It provides secure OAuth and service account support for managing emails, calendar events, and drive files. Core capabilities include sending and drafting emails with attachments, managing labels, scheduling calendar events, and handling files in Google Drive. Designed for smooth integration with AI assistants such as Claude and Cursor.

  12 9 MCP
• 24
  

  Rember MCP

  Let Claude create and manage flashcards from your chats and PDFs using Rember's spaced repetition.

  Rember MCP enables integration between Claude and the Rember platform using the official Model Context Protocol (MCP). It allows users to generate flashcards from conversations or PDF documents and manage them with Rember's spaced repetition system. The tool can be run as a local MCP server which is easily configurable within Claude Desktop. It emphasizes effective tool descriptions, user guidance, and robust error handling strategies.

  57 7 MCP
• 25
  

  keep-mcp

  Connect Google Keep notes to the Model Context Protocol ecosystem.

  Provides an MCP server interface for Google Keep, enabling standardized interaction with Keep notes via the Model Context Protocol. Allows users to search, create, update, and delete Google Keep notes through MCP, supporting integration with MCP-compatible platforms. It restricts modification and deletion operations to notes managed by the MCP server unless configured otherwise. Credentials for Google authentication are securely handled through environment variables.

  52 19 MCP
• 26
  

  TaskWarrior MCP Server

  MCP server for managing TaskWarrior tasks via a standardized protocol

  Implements the Model Context Protocol (MCP) to provide a Node.js server interface for TaskWarrior operations. Allows viewing, filtering, adding, and completing tasks through a standardized API. Integrates with task management workflows by utilizing the local TaskWarrior client, supporting advanced task attributes like projects and tags. Enables seamless task manipulation for external tools such as Claude Desktop.

  36 8 MCP
• 27
  

  Ethics Check MCP

  Turn any AI into a philosophical sparring partner that challenges assumptions and biases.

  Ethics Check MCP transforms AI assistants by making them actively identify and question ethical concerns, confirmation bias, and unexamined assumptions in conversations. The MCP server modifies models like Claude to interrupt comfortable exchanges and provoke critical thinking through counterarguments and alternative perspectives. By tracking ethical dimensions and user patterns, it delivers tailored challenges to encourage transparent and fair discussion. The tool is designed to keep AI-driven conversations rigorously self-critical and ethically aware.

  3 2 MCP
• 28
  

  mcp-datetime

  Datetime formatting service MCP server for Claude Desktop App

  mcp-datetime provides a datetime formatting service implemented as an MCP server for integration with the Claude Desktop Application. It offers generation of current date and time strings in various formats, including standard, Japanese, ISO, and filename-friendly outputs. The server exposes a 'get_datetime' tool for easy retrieval of formatted dates and times with support for timezone handling and multi-language output. Seamless integration and Python packaging facilitate installation and extensibility.

  25 12 MCP
• 29
  

  mcp

  Universal remote MCP server connecting AI clients to productivity tools.

  WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

  27 6 MCP
• 30
  

  mcpmcp-server

  Seamlessly discover, set up, and integrate MCP servers with AI clients.

  mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

  17 6 MCP
• 31
  

  MCP Server for Iaptic

  A Model Context Protocol server for accessing and managing Iaptic data with AI agents.

  MCP Server for Iaptic implements the Model Context Protocol to enable AI models, such as Claude, to securely and efficiently interact with Iaptic's customer, purchase, transaction, and statistics data. The server provides a standardized interface and command set for querying and managing information related to customers, purchases, transactions, events, and application management. Designed for integration with Claude Desktop and similar AI clients, it offers both automated and manual installation options.

  5 7 MCP
• 32
  

  Hive Intelligence MCP Server

  Unified MCP server delivering advanced cryptocurrency and Web3 analytics.

  Hive Intelligence MCP Server provides comprehensive cryptocurrency, DeFi, and Web3 analytics via the Model Context Protocol. It enables AI assistants to access and orchestrate over 200 specialized tools covering market data, on-chain analytics, portfolio tracking, and security analysis. The server offers both dynamic and category-specific analytics through a unified MCP interface, facilitating intelligent tool orchestration for diverse crypto data needs.

  7 5 MCP
• 33
  

  Apple Books MCP

  Model Context Protocol server for integrating and managing Apple Books data with AI assistants.

  Apple Books MCP is a server implementation of the Model Context Protocol (MCP) that enables AI assistants to access, organize, and interact with Apple Books data such as collections, books, highlights, notes, and annotations. It provides standardized tools for retrieving and searching book-related data, supporting integration with platforms like Claude Desktop. Designed for easy setup with Python or uv, it facilitates context-aware AI capabilities for reading and annotation workflows.

  33 5 MCP
• 34
  

  Taskade MCP

  Tools and server for Model Context Protocol workflows and agent integration

  Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

  90 20 MCP
• 35
  

  MCP Router

  A Unified MCP Server Management App

  MCP Router is a cross-platform desktop application designed to simplify the management of Model Context Protocol (MCP) servers. It enables users to centrally manage, organize, and monitor multiple MCP servers, both locally and remotely, with support for various connection methods. The app offers advanced context organization through Projects and Workspaces, as well as tools toggling and comprehensive logging. With a focus on privacy, all data is stored locally, and integration capabilities allow seamless connection with popular AI tools.

  1,078 95 MCP
• 36
  

  Google Workspace MCP Server

  A secure MCP server bridging Google Workspace and AI clients.

  Google Workspace MCP Server implements the Model Context Protocol to enable secure integration between Google Workspace services—such as Gmail, Calendar, and Drive—and any MCP-compatible AI client. It allows users to read, search, create, update, and delete Google Calendar events, emails, and Drive files directly through an AI agent interface. The tool ensures authentication via Google OAuth and provides a seamless setup process for both server and client sides. This makes it easier for AI-powered workflows to interact with Google Workspace data securely and contextually.

  20 7 MCP
• 37
  

  Zettelkasten MCP Server

  A Zettelkasten-based knowledge management system implementing the Model Context Protocol.

  Zettelkasten MCP Server provides an implementation of the Zettelkasten note-taking methodology, enriched with bidirectional linking, semantic relationships, and categorization of notes. It enables creation, exploration, and synthesis of atomic knowledge using MCP for AI-assisted workflows. The system integrates with clients such as Claude and supports markdown, advanced search, and a structured prompt framework for large language models. The dual storage architecture and synchronous operation model ensure flexibility and reliability for managing personal or collaborative knowledge bases.

  114 21 MCP
• 38
  

  Meta Ads MCP

  AI-powered Meta Ads campaign analysis and management via MCP

  Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.

  342 86 MCP
• 39
  

  cloudflare/mcp-server-cloudflare

  Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

  Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

  2,919 251 MCP
• 40
  

  ServeMyAPI

  Securely manage and serve API keys via macOS Keychain with an MCP interface

  ServeMyAPI is a personal Model Context Protocol (MCP) server designed for macOS, enabling secure storage and access of API keys via the macOS Keychain. It provides both CLI and server interfaces for managing keys and supports stdio and HTTP/SSE transports for seamless integration with various clients. The tool allows natural language interaction and centralized, cross-project key management, aiming to improve developer workflows and AI assistant collaborations. ServeMyAPI eliminates common issues with environment files by offering secure, visible, and AI-accessible key storage.

  23 5 MCP
• 41
  

  pluggedin-mcp-proxy

  Unified proxy server for Model Context Protocol data exchanges and AI integrations

  Aggregates multiple Model Context Protocol (MCP) servers into a single, unified proxy interface, supporting real-time discovery, management, and orchestration of AI model resources, tools, and prompts. Enables seamless interaction between MCP clients such as Claude, Cline, and Cursor, while integrating advanced document search, AI document exchange, and workspace management. Provides flexible transport modes (STDIO and Streamable HTTP), robust authentication, and comprehensive security measures for safe and scalable AI data exchange.

  87 15 MCP
• 42
  

  MCP Zotero

  Model Context Protocol server for seamless Zotero integration with AI tools.

  MCP Zotero provides a Model Context Protocol server enabling AI models such as Claude to access and interact with Zotero libraries. Users can securely link their Zotero accounts and perform actions including listing collections, retrieving papers, searching the library, and getting details about specific items. Integration is designed for both standalone operation and as an extension for tools like Claude Desktop.

  137 17 MCP
• 43
  

  Google Workspace MCP Server

  Full natural language control of Google Workspace through the Model Context Protocol.

  Google Workspace MCP Server enables comprehensive natural language interaction with Google services such as Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat via any MCP-compatible client or AI assistant. It supports both single-user and secure multi-user OAuth 2.1 authentication, providing a production-ready backend for custom apps. Built on FastMCP, it delivers high performance and advanced context handling, offering deep integration with the entire Google Workspace suite.

  890 259 MCP
• 44
  

  Xcode MCP Server

  Comprehensive Xcode integration server for AI assistants using the Model Context Protocol.

  Xcode MCP Server provides an MCP-compliant interface for AI agents to interact with Xcode projects on macOS. It supports project management, simulator control, CocoaPods and Swift Package Manager integration, and advanced file and build operations. Enhanced error handling and multi-project support enable seamless automation and context management for complex Xcode workflows.

  330 21 MCP
• 45
  

  Codex MCP Server

  An MCP-compatible server delivering enriched blockchain data for AI models.

  Codex MCP Server implements the Model Context Protocol to provide enriched blockchain data from Codex. It is compatible with MCP clients such as Claude Desktop and Claude CLI, allowing seamless integration in AI workflows that require blockchain context. Users can run the server locally or via npx, and configure it for various MCP-compatible tools using their Codex API key.

  20 4 MCP
• 46
  

  Dappier MCP Server

  Real-time web search and premium data access for AI agents via Model Context Protocol.

  Dappier MCP Server enables fast, real-time web search and access to premium data sources, including news, financial markets, sports, and weather, for AI agents using the Model Context Protocol (MCP). It integrates seamlessly with tools like Claude Desktop and Cursor, allowing users to enhance their AI workflows with up-to-date, trusted information. Simple installation and configuration are provided for multiple platforms, leveraging API keys for secure access. The solution supports deployment via Smithery and direct installation with 'uv', facilitating rapid setup for developers.

  35 11 MCP
• 47
  

  PythonAnywhere Model Context Protocol Server

  Bridge AI-powered tools with PythonAnywhere for secure, programmatic environment management.

  PythonAnywhere Model Context Protocol Server implements the MCP, allowing AI clients and automation tools to securely manage files, web apps, and scheduled tasks within a PythonAnywhere account. It offers a standardized interface to perform core operations like editing files, deploying or managing web apps, and handling scheduled jobs with fine-grained access control. Designed for integration with tools such as Claude Desktop, GitHub Copilot, and Cursor, it ensures auditability of actions and supports multiple installation workflows.

  8 4 MCP
• 48
  

  Kanboard MCP Server

  MCP server for seamless AI integration with Kanboard project management.

  Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

  15 4 MCP
• 49
  

  1mcp-app/agent

  A unified server that aggregates and manages multiple Model Context Protocol servers.

  1MCP Agent provides a single, unified interface that aggregates multiple Model Context Protocol (MCP) servers, enabling seamless integration and management of external tools for AI assistants. It acts as a proxy, managing server configuration, authentication, health monitoring, and dynamic server control with features like asynchronous loading, tag-based filtering, and advanced security options. Compatible with popular AI development environments, it simplifies setup by reducing redundant server instances and resource usage. Users can configure, monitor, and scale model tool integrations across various AI clients through easy CLI commands or Docker deployment.

  96 14 MCP
• 50
  

  MCP Claude Code

  Claude Code-like functionality via the Model Context Protocol.

  Implements a server utilizing the Model Context Protocol to enable Claude Code functionality, allowing AI agents to perform advanced codebase analysis, modification, and command execution. Supports code understanding, file management, and integration with various LLM providers. Offers specialized tools for searching, editing, and delegating tasks, with robust support for Jupyter notebooks. Designed for seamless collaboration with MCP clients including Claude Desktop.

  281 33 MCP