mcp-server template
About
A template for creating MCP (ModelContextProvider) servers, configurable via environment variables.
Details
- Author
- lavraham
- Categories
- Developer Tools
Jump to
Setup
Install mcp-server template in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/lavraham/MCP-domainXML
Follow the installation instructions in the repository README, then restart your MCP client.
MCP (ModelContextProvider) server template
To build the container image locally using Podman, run:
podman build -t mcp-server-template:latest .
This will create a local image namedmcp-server-template:latestthat you can use to run the server.
Example configuration for running with Podman:
{ "mcpServers": { "mcp-server": { "command": "podman", "args": [ "run", "-i", "--rm", "-e", "API_BASE_URL", "-e", "API_KEY", "-e", "MCP_TRANSPORT", "localhost/mcp-server-template:latest" ], "env": { "API_BASE_URL": "https://api.example.com", "API_KEY": "REDACTED", "MCP_TRANSPORT": "sse" } } } }
This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.
An MCP server to help AI assistants to answer questions and generate AccelByte Extend SDK code more effectively .
Local stdio MCP server that lets AI coding agents read and maintain structured architecture, rules, and decisions directly from your repository.
Official Context7 MCP server that brings up-to-date, version-specific library documentation and code examples into AI coding prompts.
Remote, no-auth MCP server providing AI-powered codebase context and answers
Instead of direct calling MCP tools, mcpcode server transforms MCP tool calls into TypeScript programs, enabling smarter, lower-latency orchestration by LLMs.
Help agents automatically write and test stories for your UI components
Official Svelte MCP server, provides docs and suggestions on the generated code.
Supercharge your Agent with Semantic Code Intelligence and save 💰 in the process!
Execute any LLM-generated code in the YepCode secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.





