Postmancer - Alternatives & Competitors
A standalone MCP server for API testing and management via AI assistants.
Postmancer is a Model Context Protocol (MCP) server designed to facilitate API testing and management through natural language interactions with AI assistants. It enables HTTP requests, organizes API endpoints into collections, and provides tools for managing environment variables, authentication, and request history. Postmancer is particularly aimed at integrating with AI platforms like Claude for seamless, automated API workflows.
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Pica MCP Server
A Model Context Protocol (MCP) server for seamless integration with 100+ platforms via Pica.
Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.
8 5 MCP -
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Stape MCP Server
An MCP server implementation for integrating Stape with AI model context protocols.
Stape MCP Server provides an implementation of the Model Context Protocol server tailored for the Stape platform. It enables secure and standardized access to model context capabilities, allowing integration with tools such as Claude Desktop and Cursor AI. Users can easily configure and authenticate MCP connections using provided configuration samples, while managing context and credentials securely. The server is open source and maintained by the Stape Team under the Apache 2.0 license.
4 3 MCP -
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OpenAI MCP Server
Bridge between Claude and OpenAI models using the MCP protocol.
OpenAI MCP Server enables direct querying of OpenAI language models from Claude via the Model Context Protocol (MCP). It provides a configurable Python server that exposes OpenAI APIs as MCP endpoints. The server is designed for seamless integration, requiring simple configuration updates and environment variable setup. Automated testing is supported to verify connectivity and response from the OpenAI API.
77 19 MCP -
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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 -
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mcp-server-atlassian-confluence
Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.
Enables integration of AI assistants like Claude and Cursor AI directly with Atlassian Confluence, allowing users to interact with their documentation and knowledge base using natural language queries. Supports instant answers, search across all spaces, and access to specific Confluence content and discussions. Follows the Model Context Protocol (MCP) for standardized model context management and easy configuration with various AI assistants via STDIO transport or config files.
39 20 MCP -
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QuantConnect MCP Server
Official bridge for secure AI access to QuantConnect's algorithmic trading cloud platform
QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.
50 19 MCP -
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Weblate MCP Server
Seamlessly connect AI assistants to Weblate for translation management via the Model Context Protocol.
Weblate MCP Server enables AI assistants and clients to directly manage Weblate translation projects through the Model Context Protocol (MCP). It integrates with the Weblate REST API, allowing natural language interaction for project and translation management. The tool offers multiple transport options including HTTP, SSE, and STDIO, and is optimized for large language model workflows. Full support for project, component, and translation operations is provided, with a focus on type safety and flexible environment configuration.
9 5 MCP -
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Azure DevOps MCP Server
Standardized AI access to Azure DevOps via Model Context Protocol.
Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.
306 93 MCP -
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Insforge MCP Server
A Model Context Protocol server for seamless integration with Insforge and compatible AI clients.
Insforge MCP Server implements the Model Context Protocol (MCP), enabling smooth integration with various AI tools and clients. It allows users to configure and manage connections to the Insforge platform, providing automated and manual installation methods. The server supports multiple AI clients such as Claude Code, Cursor, Windsurf, Cline, Roo Code, and Trae via standardized context management. Documentation and configuration guidelines are available for further customization and usage.
3 2 MCP -
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CipherTrust Manager MCP Server
Enables AI assistants to access CipherTrust Manager securely via the Model Context Protocol.
CipherTrust Manager MCP Server provides an implementation of the Model Context Protocol (MCP), offering AI assistants such as Claude and Cursor a unified interface to interact with CipherTrust Manager resources. Communication is facilitated through JSON-RPC over stdin/stdout, enabling key management, CTE client management, user management, and connection management functionalities. The tool is configurable via environment variables and integrates with existing CipherTrust Manager instances using the ksctl CLI for secure resource access.
7 4 MCP -
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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 -
12
mcp-cli
A command-line inspector and client for the Model Context Protocol
mcp-cli is a command-line interface tool designed to interact with Model Context Protocol (MCP) servers. It allows users to run and connect to MCP servers from various sources, inspect available tools, resources, and prompts, and execute commands non-interactively or interactively. The tool supports OAuth for various server types, making integration and automation seamless for developers working with MCP-compliant servers.
391 31 MCP -
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mcp-server-home-assistant
A Model Context Protocol Server integration for Home Assistant.
Provides an MCP server interface for Home Assistant, enabling context sharing between Home Assistant and AI models through the Model Context Protocol. Allows users to connect Claude Desktop and similar tools to Home Assistant via a WebSocket API and secure API token. Facilitates seamless integration by leveraging a custom Home Assistant component that is migrating into Home Assistant Core. Enables access and manipulation of smart home context data in standardized ways.
64 8 MCP -
14
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 -
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PostHog MCP
Easily deploy and manage Model Context Protocol servers across multiple platforms.
PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.
138 23 MCP -
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MCP Swagger Server (mss)
Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.
MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.
38 8 MCP -
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TeslaMate MCP Server
Query your TeslaMate data using the Model Context Protocol
TeslaMate MCP Server implements the Model Context Protocol to enable AI assistants and clients to securely access and query Tesla vehicle data, statistics, and analytics from a TeslaMate PostgreSQL database. The server exposes a suite of tools for retrieving vehicle status, driving history, charging sessions, battery health, and more using standardized MCP endpoints. It supports local and Docker deployments, includes bearer token authentication, and is intended for integration with MCP-compatible AI systems like Claude Desktop.
106 14 MCP -
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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 -
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mcp-get
A command-line tool for discovering, installing, and managing Model Context Protocol servers.
mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.
497 103 MCP -
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Exa MCP Server
Fast, efficient web and code context for AI coding assistants.
Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.
3,224 244 MCP -
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Lara Translate MCP Server
Context-aware translation server implementing the Model Context Protocol.
Lara Translate MCP Server enables AI applications to seamlessly access professional translation services via the standardized Model Context Protocol. It supports features such as language detection, context-aware translations, and translation memory integration. The server acts as a secure bridge between AI models and Lara Translate, managing credentials and facilitating structured translation requests and responses.
76 13 MCP -
22
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 -
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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 -
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DexPaprika MCP Server
On-demand DEX and cryptocurrency data server for AI assistants like Claude.
DexPaprika MCP Server provides a Model Context Protocol (MCP) interface for accessing real-time cryptocurrency and decentralized exchange (DEX) data. It enables AI assistants, particularly Claude, to query live token, pool, and DEX information without requiring API keys or prior configuration. The server integrates easily with Claude Desktop and supports batched token price queries, network-specific analytics, and technical analysis tools. Installation is streamlined via Smithery or npm, and it is designed to deliver fast, scalable, and relevant market data to AI systems.
30 12 MCP -
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Raindrop.io MCP Server
Enable LLMs to manage and search Raindrop.io bookmarks via the Model Context Protocol.
Raindrop.io MCP Server is an integration that allows large language models to interact with Raindrop.io bookmarks using the Model Context Protocol. It provides tools to create and search bookmarks, including filtering by tags, and is designed for interoperability with environments like Claude for Desktop. Installation can be done via Smithery or manually, and configuration is managed through environment variables. The project is open source and optimized for secure, tokenized access to Raindrop.io.
63 15 MCP -
26
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 -
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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 -
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Teamwork MCP Server
Seamless Teamwork.com integration for Large Language Models via the Model Context Protocol
Teamwork MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models to interact securely and programmatically with Teamwork.com. It offers standardized interfaces, including HTTP and STDIO, allowing AI agents to perform various project management operations. The server supports multiple authentication methods, an extensible toolset architecture, and is designed for production deployments. It provides read-only capability for safe integrations and robust observability features.
11 9 MCP -
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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 -
30
APISIX Model Context Protocol Server
Bridge LLMs with APISIX for natural language API management.
APISIX Model Context Protocol (MCP) Server enables large language models to interact with and manage APISIX resources via natural language commands. It provides a standardized protocol for connecting AI clients like Claude, Cursor, and Copilot to the APISIX Admin API. The server supports a range of operations including CRUD for routes, services, upstreams, plugins, security configurations, and more. Installation is streamlined via Smithery, npm, or direct source setup with customizable environment variables.
29 9 MCP -
31
Pinecone Assistant MCP Server
An MCP server for retrieving information from Pinecone Assistant.
Pinecone Assistant MCP Server is an implementation of the Model Context Protocol (MCP) for seamless integration with Pinecone Assistant. It enables retrieval of information and supports configurable multiple result fetching. The server can be run via Docker or built from source with Rust and integrates with tools like Claude Desktop.
37 7 MCP -
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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 -
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Globalping MCP Server
Enable AI models to run network tests globally via natural language.
Globalping MCP Server implements the Model Context Protocol, enabling AI models to interface with a global network measurement platform through natural language. It allows AI clients to perform network diagnostic tests such as ping, traceroute, DNS, MTR, and HTTP from thousands of locations worldwide. The server offers AI-friendly context handling, detailed parameter descriptions, comparative analysis of network performance, and supports secure authentication using OAuth or API tokens.
33 3 MCP -
34
Yuque-MCP-Server
Seamless integration of Yuque knowledge base with Model-Context-Protocol for AI model context management.
Yuque-MCP-Server provides an MCP-compatible server for interacting with the Yuque knowledge base platform. It enables AI models to retrieve, manage, and analyze Yuque documents and user information through a standardized Model-Context-Protocol interface. The server supports operations such as document creation, reading, updating, deletion, advanced search, and team statistics retrieval, making it ideal for AI-powered workflows. Inspired by Figma-Context-MCP, it facilitates contextual awareness and dynamic knowledge management for AI applications.
31 13 MCP -
35
Twelve Data MCP Server
Seamless AI-powered access to financial market data via the Twelve Data API.
Twelve Data MCP Server provides a Model Context Protocol-compliant server for integrating and accessing Twelve Data’s financial market API. It enables users and AI agents to retrieve historical data, real-time quotes, and instrument metadata for stocks, forex, and crypto using natural language or endpoint calls. The system leverages AI-driven routing, including OpenAI GPT-4o, to intelligently map plain English queries to relevant API endpoints for structured or conversational workflows. Integration options are available for platforms like Claude Desktop and VS Code, with flexible local or remote deployment.
43 14 MCP -
36
Linked API MCP
Connect LinkedIn to AI assistants for automated engagement and research.
Linked API MCP enables AI assistants like Claude, Cursor, and VS Code to interact with LinkedIn through a secure cloud browser. It allows automated searching for leads, profile analysis, messaging, and market research on LinkedIn. The solution is designed for sales, recruitment, and market research professionals who want to automate LinkedIn workflows. Integration is streamlined, offering a set of tools accessible to popular AI-powered platforms.
23 5 MCP -
37
sentry-mcp
Remote MCP middleware for developer workflow and debugging tools.
sentry-mcp provides a remote Model Context Protocol server designed as middleware for Sentry's API, specifically optimized for human-in-the-loop coding agents and developer-oriented workflows. It enables integration with coding assistants like Cursor and Claude Code, offering both remote and stdio transports for varied environments, including self-hosted instances. The project also supports AI-powered search tools for querying events and issues, leveraging OpenAI API for natural language processing. Additionally, an Inspector tool is included for service testing and integration validation.
424 51 MCP -
38
MCP Weather Server
Provides weather forecasts to LLMs via the Model Context Protocol.
MCP Weather Server enables large language models to access real-time, accurate weather forecasts by interfacing with the AccuWeather API. It offers both hourly and daily weather data, supporting metric and imperial units, and can be seamlessly integrated with MCP-compatible clients like Claude Desktop or supergateway. The server provides tools for retrieving weather based on location and settings, with robust configuration options. It is designed for straightforward deployment using Node.js and environment-configured API keys.
27 9 MCP -
39
MCP Language Server
Bridge codebase navigation tools to AI models using MCP-enabled language servers.
MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.
1,256 94 MCP -
40
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 -
41
MetaTrader MCP Server
Let AI assistants trade for you using natural language.
MetaTrader MCP Server is a bridge that connects AI assistants such as Claude and ChatGPT to the MetaTrader 5 trading platform via the Model Context Protocol (MCP). It enables users to perform trading actions on MetaTrader 5 through natural language instructions. The system supports real-time data access, full account management, and secure local credential handling, offering both MCP and REST API interfaces.
120 34 MCP -
42
IP Find MCP Server
A Model Context Protocol server for IP location lookups by AI assistants.
IP Find MCP Server acts as a Model Context Protocol (MCP) server, allowing AI assistants to access geolocation data from the IP Find API. It connects the IP Find API with AI tools, enabling the retrieval of IP address location information in standardized contexts. Designed for integration with MCP clients such as the Claude Desktop App, it simplifies configuration and secure API key management. The server is certified by MCPHub.
2 6 MCP -
43
Intruder MCP
Enable AI agents to control Intruder.io via the Model Context Protocol.
Intruder MCP allows AI model clients such as Claude and Cursor to interactively control the Intruder vulnerability scanner through the Model Context Protocol. It can be deployed using smithery, locally with Python, or in a Docker container, requiring only an Intruder API key for secure access. The tool provides integration instructions tailored for MCP-compatible clients, streamlining vulnerability management automation for AI-driven workflows.
21 4 MCP -
44
QA Sphere MCP Server
Model Context Protocol server enabling LLMs to interact with QA Sphere test cases
QA Sphere MCP Server provides a Model Context Protocol (MCP) integration for QA Sphere, allowing Large Language Models to interact with, discover, and summarize test cases within the QA Sphere test management system. It enables AI-powered IDEs and MCP clients to reference and manipulate QA Sphere test case data within development workflows. The solution supports quick integration into clients like Claude, Cursor, and 5ire, facilitating seamless collaboration and context sharing for AI-assisted development.
15 6 MCP -
45
Model Context Protocol Server for Home Assistant
Seamlessly connect Home Assistant to LLMs for natural language smart home control via MCP.
Enables integration between a local Home Assistant instance and language models using the Model Context Protocol (MCP). Facilitates natural language monitoring and control of smart home devices, with robust API support for state management, automation, real-time updates, and system administration. Features secure, token-based access, and supports mobile and HTTP clients. Designed to bridge Home Assistant environments with modern AI-driven automation.
468 41 MCP -
46
Vectorize MCP Server
MCP server for advanced vector retrieval and text extraction with Vectorize integration.
Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.
97 21 MCP -
47
WebSearch-MCP
Real-time web search for AI assistants via Model Context Protocol.
WebSearch-MCP is a Model Context Protocol (MCP) server that enables real-time web search capabilities for AI assistants through the stdio transport. It connects with a web crawler API to retrieve up-to-date search results and serves these results to AI models like Claude. The solution offers straightforward configuration and seamless integration with various MCP clients, enhancing AI model access to current and relevant external information.
19 7 MCP -
48
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 -
49
AgentQL MCP Server
MCP-compliant server for structured web data extraction using AgentQL.
AgentQL MCP Server acts as a Model Context Protocol (MCP) server that leverages AgentQL's data extraction capabilities to fetch structured information from web pages. It allows integration with applications supporting MCP, such as Claude Desktop, VS Code, and Cursor, by providing an accessible interface for extracting structured data based on user-defined prompts. With configurable API key support and streamlined installation, it simplifies the process of connecting web data extraction workflows to AI tools.
120 28 MCP -
50
@dealx/mcp-server
MCP server enabling LLMs to search and interact with the DealX platform.
Implements the Model Context Protocol, providing a standardized interface for large language models to interact with the DealX platform. Supports searching for ads through structured prompts and is designed for easy integration with tools like Claude and VS Code extensions. Flexible configuration options are available for environment variables, logging, and deployment. Extensible architecture supports future feature additions beyond ad search.
0 2 MCP
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