Mcp Helm Chart

@chatmcpon 10 months ago

1 MIT

FreeCommunity

AI Systems

Helm Chart for MCP Server

What is Mcp Helm Chart

mcp-helm-chart is a Helm Chart designed for deploying and managing MCP Server applications in a Kubernetes environment.

Use cases

Use cases for mcp-helm-chart include setting up chat applications, managing real-time data processing, and deploying machine learning models that require MCP Server functionalities.

How to use

To use mcp-helm-chart, first add the Helm repository with ‘helm repo add chatmcp https://chatmcp.github.io/mcp-helm-chart’ and update it. Then, install the MCP server using ‘helm install perplexity-ask chatmcp/mcp-server -n chatmcp’.

Key features

Key features of mcp-helm-chart include easy deployment of MCP Server, version management through Helm, and the ability to customize configurations via Helm values.

Where to use

mcp-helm-chart can be used in cloud-native applications, microservices architectures, and any environment that requires scalable and manageable deployments of MCP Server.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Mcp Helm Chart

mcp-helm-chart is a Helm Chart designed for deploying and managing MCP Server applications in a Kubernetes environment.

Use cases

Use cases for mcp-helm-chart include setting up chat applications, managing real-time data processing, and deploying machine learning models that require MCP Server functionalities.

How to use

Key features

Key features of mcp-helm-chart include easy deployment of MCP Server, version management through Helm, and the ability to customize configurations via Helm values.

Where to use

mcp-helm-chart can be used in cloud-native applications, microservices architectures, and any environment that requires scalable and manageable deployments of MCP Server.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

MCP Helm Chart

How to use

add helm repo

helm repo add chatmcp https://chatmcp.github.io/mcp-helm-chart
helm repo update

install mcp server

helm install perplexity-ask chatmcp/mcp-server -n chatmcp

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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