Data Visualization MCP Server alternatives

1

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

2

Notion MCP Server

Enable LLMs to interact with Notion using the Model Context Protocol.

Notion MCP Server allows large language models to interface with Notion workspaces through a Model Context Protocol server, supporting both data retrieval and editing capabilities. It includes experimental Markdown conversion to optimize token usage for more efficient communication with LLMs. The server can be configured with environment variables and controlled for specific tool access. Integration with applications like Claude Desktop is supported for seamless automation.

834 154 MCP

3

@nanana-ai/mcp-server-nano-banana

MCP server for Nanana AI image generation using Gemini's nano banana model.

@nanana-ai/mcp-server-nano-banana serves as an MCP (Model Context Protocol) compatible server for facilitating image generation and transformation powered by the Gemini nano banana model. It enables clients like Claude Desktop to interact with Nanana AI, processing text prompts to generate images or transform existing images. The server can be easily configured with API tokens and integrated into desktop applications. Users can manage credentials, customize endpoints, and monitor credit usage seamlessly.

3 2 MCP

4

MCP Server Giphy

MCP-compatible Giphy API server for AI models to search and retrieve GIFs.

MCP Server Giphy provides an MCP-compliant server interface for accessing GIFs from the Giphy API, specifically tailored for seamless integration with AI models. It supports content filtering, multiple retrieval methods (search, trending, random), and optimized response formats with comprehensive metadata. The server enables AI applications to search, retrieve, and utilize GIF content efficiently, and is easily configurable with tools like Claude Desktop.

22 8 MCP

5

Typst MCP Server

Facilitates AI-driven Typst interactions with LaTeX conversion, validation, and image generation tools.

Typst MCP Server implements the Model Context Protocol, enabling AI models to interface seamlessly with Typst, a markup-based typesetting system. It provides tools for tasks such as converting LaTeX to Typst, validating Typst syntax, listing and retrieving Typst documentation chapters, and rendering Typst code as images. The server is compatible with MCP agent clients, such as Claude Desktop and VS Code’s agent mode. All functionalities are exposed as tools for ease of LLM integration.

79 7 MCP

6

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

7

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

8

Perplexity MCP Server

MCP Server integration for accessing the Perplexity API with context-aware chat completion.

Perplexity MCP Server provides a Model Context Protocol (MCP) compliant server that interfaces with the Perplexity API, enabling chat completion with citations. Designed for seamless integration with clients such as Claude Desktop, it allows users to send queries and receive context-rich responses from Perplexity. Environment configuration for API key management is supported, and limitations with long-running requests are noted. Future updates are planned to enhance support for client progress reporting.

85 35 MCP

9

Mindmap MCP Server

Convert Markdown content into interactive mindmaps via an MCP-compliant server.

Mindmap MCP Server provides a Model Context Protocol (MCP) compatible service that transforms Markdown input into interactive mindmap visualizations. It supports command-line, Python, and Docker installation methods for flexibility across platforms. Designed to integrate with MCP clients like Claude Desktop, it ensures seamless Markdown-to-mindmap conversion using markmap under the hood. The server is intended for easy plug-and-play use in model-powered workflows that require structured, visual context formatting.

205 22 MCP

10

MCP Server Chart

A Model Context Protocol server for generating and analyzing charts using AntV.

MCP Server Chart enables chart generation and data analysis through the Model Context Protocol. Built with TypeScript and leveraging AntV, it offers over 25 types of charts accessible via MCP tools. The server supports seamless integration with visualization platforms like Dify and provides features such as private deployment, configurable toolsets, and CLI options.

3,141 299 MCP

11

MCP Server for Data Exploration

Interactive Data Exploration and Analysis via Model Context Protocol

MCP Server for Data Exploration enables users to interactively explore and analyze complex datasets using prompt templates and tools within the Model Context Protocol ecosystem. Designed as a personal Data Scientist assistant, it facilitates the conversion of raw data into actionable insights without manual intervention. Users can load CSV datasets, run Python scripts, and generate tailored reports and visualizations through an AI-powered interface. The server integrates directly with Claude Desktop, supporting rapid setup and seamless usage for both macOS and Windows.

503 63 MCP

12

MCP ECharts

Dynamically generate Apache ECharts visualizations via Model Context Protocol (MCP).

MCP ECharts enables dynamic generation of Apache ECharts visualizations through the Model Context Protocol, supporting interactions with AI models. It provides multiple transport options (stdio, SSE, streamable) and integrates with platforms like Claude, VSCode, and Smithery. The tool allows exporting charts in PNG, SVG, and option formats, with optional MinIO storage for enhanced sharing and performance. Featuring zero dependencies and local secure rendering, it is easily deployable and versatile for a range of visualization workflows.

153 29 MCP

13

manim-mcp-server

MCP server for generating Manim animations on demand.

Manim MCP Server allows users to execute Manim Python scripts via a standardized protocol, generating animation videos that are returned as output. It integrates with systems like Claude to dynamically render animation content from user scripts and supports configurable deployment using environment variables. The server handles management of output files and cleanup of temporary resources, designed with portability and ease of integration in mind.

454 48 MCP

14

Qlik MCP Server

Connect Claude AI to Qlik Cloud applications and extract insights via the Model Context Protocol.

Qlik MCP Server enables integration between Claude AI and Qlik Cloud applications through the Model Context Protocol (MCP). It exposes API tools for listing Qlik apps, retrieving sheets and charts, and extracting chart data programmatically. The server supports deployment via Docker, Deno, or Node.js, and can be configured for use with tools like Claude Desktop and Cursor. The setup emphasizes secure handling of Qlik Cloud credentials and flexible environment configuration.

7 5 MCP

15

GeoServer MCP Server

Connect LLMs to GeoServer for geospatial data management and AI-driven queries.

GeoServer MCP Server implements the Model Context Protocol, enabling seamless integration between Large Language Models (LLMs) and the GeoServer REST API. It allows AI assistants to interact with, query, and manipulate geospatial data and services through standardized interfaces. The server supports management of workspaces, layers, and spatial queries, as well as rendering geospatial visualizations. Installation is supported via Docker, pip, and integration tools like Smithery, with compatibility for clients such as Claude Desktop and Cursor.

43 9 MCP

16

MCP Mermaid

AI-powered dynamic generation of Mermaid diagrams via the Model Context Protocol.

MCP Mermaid enables dynamic generation of Mermaid diagrams and charts using AI via the Model Context Protocol (MCP). It supports all features and syntax of Mermaid, and can export diagrams in various formats including SVG, base64, and files. The server can be run locally or globally using different transport protocols such as stdio, SSE, or streamable, making it compatible with tools like Claude, VSCode, and Smithery. It provides customization for background color and theme, and validates output to ensure correct syntax and graphics.

283 36 MCP

17

Mermaid MCP Server

AI-powered natural language to Mermaid diagram server via Model Context Protocol

Mermaid MCP Server enables seamless integration with AI assistants, allowing users to generate professional architecture diagrams, flowcharts, and more using natural language. It implements the Model Context Protocol (MCP), providing a standardized interface for AI tools like GitHub Copilot and Claude to interact with diagram generation workflows. The server offers over 50 pre-built templates, fast SVG rendering, and broad integration support across VS Code, CLI, and desktop applications.

3 1 MCP

18

Dune Analytics MCP Server

Bridge Dune Analytics data seamlessly to AI agents via a Model Context Protocol server.

Dune Analytics MCP Server provides a Model Context Protocol-compliant server that allows AI agents to access and interact with Dune Analytics data. It exposes tools to fetch the latest results of Dune queries and execute arbitrary queries, returning results in CSV format. The server is easily deployable, supports integration with platforms like Claude Desktop, and requires a Dune Analytics API key for operation.

31 8 MCP

19

Coinmarket MCP server

Access CoinMarketCap data through MCP for AI models and tools

Coinmarket MCP Server provides an interface for accessing CoinMarketCap cryptocurrency data via the Model Context Protocol. It supports retrieving the latest currency listings and token quotes using custom URI schemes. The server is compatible with environments like Claude Desktop and Docker, and requires a CoinMarketCap API key for operation.

43 15 MCP

20

Replicate Flux MCP

MCP-compatible server for high-quality image and SVG generation via Replicate models.

Replicate Flux MCP is an advanced Model Context Protocol (MCP) server designed to enable AI assistants to generate high-quality raster images and vector graphics. It leverages Replicate's Flux Schnell model for image synthesis and Recraft V3 SVG model for vector output, supporting seamless integration with AI platforms like Cursor, Claude Desktop, Smithery, and Glama.ai. Users can generate images and SVGs by simply providing natural language prompts, with support for parameter customization, batch processing, and variant creation.

66 14 MCP

21

Unified Diff MCP Server

Beautiful diff visualization for Claude Desktop with GitHub Gist sharing and local export.

Unified Diff MCP Server provides a powerful tool for visualizing code diffs in an engaging HTML format, tailored for use with Claude Desktop. It supports sharing diffs via GitHub Gist, saving outputs as PNG or HTML files, and features auto-delete and multi-level security. Designed for high performance and cross-platform compatibility, it makes code review and sharing diffs efficient and visually appealing.

8 4 MCP

22

OpsLevel MCP Server

Read-only MCP server for integrating OpsLevel data with AI tools.

OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

8 7 MCP

23

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

24

piapi-mcp-server

TypeScript-based MCP server for PiAPI media content generation

piapi-mcp-server is a TypeScript implementation of a Model Context Protocol (MCP) server that connects with PiAPI to enable media generation workflows from MCP-compatible applications. It handles image, video, music, TTS, 3D, and voice generation tasks using a wide range of supported models like Midjourney, Flux, Kling, LumaLabs, Udio, and more. Designed for easy integration with clients such as Claude Desktop, it includes an interactive MCP Inspector for development, testing, and debugging.

62 23 MCP

25

codelogic-mcp-server

Leverage CodeLogic’s dependency data for AI-powered impact analysis.

Codelogic-mcp-server implements an MCP (Model Context Protocol) server, enabling integration of CodeLogic's software dependency data into AI programming assistants. It provides tools for code and database impact assessments by interacting with a CodeLogic server, enhancing context-aware code and database analysis. The server supports integration with popular IDEs, including VS Code and Claude Desktop, using Astral UV/UVX for communication. This solution is designed to bring actionable dependency insights to AI coding workflows.

31 14 MCP

26

Optuna MCP Server

Automated model optimization and analysis via the Model Context Protocol using Optuna.

Optuna MCP Server is an implementation of the Model Context Protocol (MCP) that enables automated hyperparameter optimization and analysis workflows through Optuna. It acts as a server providing standardized tools and endpoints for creating studies, managing trials, and visualizing optimization results. The server facilitates integration with MCP clients and supports deployment via both Python environments and Docker. It streamlines study creation, metric management, and result handling using Optuna’s capabilities.

65 21 MCP

27

Crypto Projects MCP Server

AI-accessible server that delivers comprehensive cryptocurrency project data in structured formats.

Crypto Projects MCP Server provides AI agents with detailed cryptocurrency project data sourced from Mobula.io, accessible via the Model Context Protocol (MCP). It offers both raw JSON and formatted Markdown outputs, making project information easy to parse and consume by large language models. The server features language customization and returns organized details including price, market data, tokenomics, links, investors, and more. Integration with tools like Claude Desktop is supported for seamless AI interactions.

0 10 MCP

28

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

29

JMeter MCP Server

Execute and analyze JMeter tests via Model Context Protocol integration.

JMeter MCP Server enables execution and analysis of Apache JMeter tests through MCP-compatible clients. It provides command-line and programmatic tools for running JMeter tests in GUI and non-GUI modes, parsing and analyzing JTL result files, and generating detailed metrics and reports. Designed for integration with tools that follow the Model Context Protocol, it facilitates seamless performance testing workflows and actionable insights for test results.

47 16 MCP

30

Edge Delta MCP Server

Seamlessly integrate Edge Delta APIs into the Model Context Protocol ecosystem.

Edge Delta MCP Server is a Model Context Protocol server enabling advanced integration with Edge Delta APIs. It allows developers and tools to extract, analyze, and automate observability data from Edge Delta through standardized MCP interfaces. The server supports AI-powered applications and automations, and can be deployed via Docker for straightforward operation. The Go API is available for experimental programmatic access.

5 4 MCP

31

REST CSV MCP Server

Generate a REST-based MCP Server for CSV-backed applications.

REST CSV MCP Server is a tool generated using mcpgen to facilitate the implementation of the Model Context Protocol. It compiles TypeScript files to create a build directory, providing JSON configuration compatible with various MCP clients such as Claude Desktop, Windsurf, and Cursor. The server interacts with CSV data through a REST interface and streamlines integration into MCP environments.

11 3 MCP

32

Crypto Trending MCP Server

Real-time trending cryptocurrency data via Model Context Protocol tools.

Crypto Trending MCP Server tracks and monitors the latest trending tokens on CoinGecko, providing real-time insights into the most popular cryptocurrencies. It exposes MCP tools and prompts, such as a Markdown generator for trending token data and a parser prompt for extracting and analyzing the results with AI models. The solution is built for seamless integration with clients like Claude Desktop and allows natural language querying of current crypto trends. Its lightweight and extensible design supports easy deployment and extension.

6 5 MCP

33

Markmap MCP Server

Convert Markdown to interactive mind maps via the Model Context Protocol.

Markmap MCP Server enables seamless conversion of Markdown content into interactive mind maps using the Model Context Protocol (MCP). It leverages the open-source markmap project and provides users with diverse export formats including PNG, JPG, and SVG. Designed for easy integration with MCP clients, it offers tools for automated browser previews, rich interactivity, and batch mind map generation. The server can be installed easily via npm or Smithery and supports configurable output directories.

137 22 MCP

34

Aiven MCP Server

Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

11 11 MCP

35

mcp-graphql

Enables LLMs to interact dynamically with GraphQL APIs via Model Context Protocol.

mcp-graphql provides a Model Context Protocol (MCP) server that allows large language models to discover and interact with GraphQL APIs. The implementation facilitates schema introspection, exposes the GraphQL schema as a resource, and enables secure query and mutation execution based on configuration. It supports configuration through environment variables, automated or manual installation options, and offers flexibility in using local or remote schema files. By default, mutation operations are disabled for security, but can be enabled if required.

319 54 MCP

36

mcp-server-docker

Natural language management of Docker containers via Model Context Protocol.

mcp-server-docker enables users to manage Docker containers using natural language instructions through the Model Context Protocol. It allows composing, introspecting, and debugging containers, as well as managing persistent Docker volumes. The tool is suitable for server administrators, tinkerers, and AI enthusiasts looking to leverage LLM capabilities for Docker management. Integration with tools like Claude Desktop and Docker ensures flexible deployment and easy connectivity to Docker engines.

648 86 MCP

37

Calculator MCP Server

Enables LLMs to perform precise numerical calculations via Model Context Protocol.

Calculator MCP Server provides a Model Context Protocol-compliant server which allows large language models to use calculator functionality for accurate numerical operations. It offers a single tool called 'calculate' for evaluating mathematical expressions that can be integrated into MCP ecosystems. Installation and configuration options are available via pip or uvx to support multiple client workflows. The server simplifies connecting LLMs to robust, external calculation capabilities for enhanced mathematical reasoning.

131 21 MCP

38

CyberChef API MCP Server

MCP server enabling LLMs to access CyberChef's powerful data analysis and processing tools.

CyberChef API MCP Server implements the Model Context Protocol (MCP), interfacing with the CyberChef Server API to provide structured tools and resources for LLM/MCP clients. It exposes key CyberChef operations such as executing recipes, batch processing, retrieving operation categories, and utilizing the magic operation for automated data decoding. The server can be configured and managed via standard MCP client workflows and supports context-driven tool invocation for large language models.

29 5 MCP

39

Graphlit MCP Server

Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

369 49 MCP

40

Open Data Model Context Protocol

Easily connect open data providers to LLMs using a Model Context Protocol server and CLI.

Open Data Model Context Protocol enables seamless integration of open public datasets into Large Language Model (LLM) applications, starting with support for Claude. Through a CLI tool and server, users can access and query public data providers within their LLM clients. It also offers tools and templates for contributors to publish and distribute new open datasets, making data discoverable and actionable for LLM queries.

140 21 MCP

41

VikingDB MCP Server

MCP server for managing and searching VikingDB vector databases.

VikingDB MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between VikingDB, a high-performance vector database by ByteDance, and AI model context management frameworks. It allows users to store, upsert, and search vectorized information efficiently using standardized MCP commands. The server supports various operations on VikingDB collections and indexes, making it suitable for integrating advanced vector search in AI workflows.

3 5 MCP

42

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

43

ETF Flow MCP

MCP server for delivering crypto ETF flow data to AI agents.

ETF Flow MCP provides an MCP-compliant server that supplies historical and up-to-date ETF flow data for cryptocurrencies like BTC and ETH. It enables AI agents or applications to fetch, query, and present ETF data in structured formats, such as markdown tables with pivoted columns and summarized totals. The server integrates with platforms like Claude Desktop for seamless, user-friendly interactions using natural language prompts.

6 4 MCP

44

MCP Server for Milvus

Bridge Milvus vector database with AI apps using Model Context Protocol (MCP).

MCP Server for Milvus enables seamless integration between the Milvus vector database and large language model (LLM) applications via the Model Context Protocol. It exposes Milvus functionality to external LLM-powered tools through both stdio and Server-Sent Events communication modes. The solution is compatible with MCP-enabled clients such as Claude Desktop and Cursor, supporting easy access to relevant vector data for enhanced AI workflows. Configuration is flexible through environment variables or command-line arguments.

196 57 MCP

45

dicom-mcp

A Model Context Protocol server for managing and querying DICOM medical imaging data.

dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

74 21 MCP

46

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

47

Docker Hub MCP Server

Expose Docker Hub APIs to LLMs via the Model Context Protocol.

The Docker Hub MCP Server implements the Model Context Protocol (MCP) to make Docker Hub APIs accessible to large language models, enabling AI-powered discovery and management of container images and repositories. It provides an interface for LLMs to access real-time Docker Hub data, recommend images, and streamline developer workflows. The server supports both public and private repositories through configurable authentication, and can be integrated with AI assistants like Gordon and clients such as Claude Desktop.

83 61 MCP

48

vuln-nist-mcp-server

Query and structure NIST NVD vulnerability data for LLMs via the Model Context Protocol.

vuln-nist-mcp-server serves as a Model Context Protocol (MCP) server, providing structured and formatted access to the NIST National Vulnerability Database (NVD) for downstream AI models. It offers a suite of tools for querying and processing CVE and KEV data, with advanced filtering, temporal awareness, chunked querying for large date ranges, and robust input validation. This server is designed for seamless integration with MCP-compatible clients to support context-rich, time-relative, and targeted vulnerability information retrieval.

7 1 MCP

49

Databricks Genie MCP Server

Bridge natural language queries to Databricks Genie via Model Context Protocol.

Databricks Genie MCP Server enables interaction between large language models and the Databricks Genie API using the Model Context Protocol. It allows users to ask natural language questions, start and manage conversations, and run SQL queries in Genie spaces. The tool provides structured results, supports follow-up queries, and facilitates connection through both standard and Docker-based setups. Designed for use with Claude Desktop, it streamlines conversational analytics within Databricks workspaces.

12 2 MCP

50

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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