Advertise
MCP.so
Sign In

MCP Rust CLI server template

@MCP-Mirror

Repository

Basic information

Category

Developer Tools

Transports

stdio

Author

MCP-Mirror

About MCP Rust CLI server template

Mirror of

#mcp#rust#cli#server#template

MCP Rust CLI server template config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "current-time": {
      "command": "mcp-rs-template",
      "args": [
        "--mcp"
      ],
      "env": {
        "API_KEY": "xxxx"
      }
    }
  }
}

MCP Rust CLI server template tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Rust CLI server template?

This template demonstrates how to implement a Model Context Protocol (MCP) CLI server in Rust. It provides a starting point for building MCP servers that can integrate LLM applications with external data sources and tools.

How to use MCP Rust CLI server template?

Clone the repository, modify project information in Cargo.toml and src/mcp/mod.rs, then edit the handler files (src/mcp/prompts.rs, src/mcp/resources.rs, src/mcp/tools.rs). Optionally modify JSON template files under src/mcp/templates/. Run the binary with --mcp to start the MCP server.

Key features of MCP Rust CLI server template

  • Implements MCP CLI server in Rust
  • Uses JSON-RPC routing via rust-rpc-router
  • Provides handlers for prompts, resources, and tools
  • Supports JSON template files for configurations
  • Includes CLI flags for listing resources, prompts, and tools

Use cases of MCP Rust CLI server template

  • Building a custom MCP server for an AI-powered IDE
  • Enhancing a chat interface with external context
  • Creating custom AI workflows with standardized MCP integration
  • Learning how to implement MCP in Rust

Frequently asked questions

1

What dependencies does the template require?

It is based on the JSON-RPC routing library [rust-rpc-router](https://github.com/jeremychone/rust-rpc-router). The project uses Cargo for dependency management.

2

How do I run the MCP server?

Use the `--mcp` CLI flag. Example: `mcp-rs-template --mcp`. Other flags include `--resources`, `--prompts`, and `--tools` for listing capabilities.

3

How do I configure it with Claude Desktop?

Edit `claude_desktop_config.json` in Claude Desktop (Settings > Developer > Edit Config) and add an entry in the `mcpServers` section with the command `mcp-rs-template` and arguments `["--mcp"]`. Optionally set environment variables like `API_KEY`.

4

Where does the server data live?

Handlers and templates are stored in local source files: `src/mcp/prompts.rs`, `src/mcp/resources.rs`, `src/mcp/tools.rs`, and JSON templates under `src/mcp/templates/`.

5

What transport does the MCP server use?

The README describes a CLI-based invocation with the `--mcp` flag, which implies stdio transport (standard in/out) for communicating with MCP clients.

Comments

More Developer Tools MCP servers

Official Porkbun MCP Server

Porkbun LLC

Official Porkbun MCP server, maintained by Porkbun. Check domain availability and pricing, register, renew and transfer domains, and manage DNS records, nameservers, URL forwarding, glue records, DNSSEC and domain contac

32

Eased

easedui

Eased is a library of motion-first React components for shadcn, installed with the shadcn CLI.

SSH MCP Server

hypnosis

SSH MCP server for AI agents: remote commands, file transfer, log search and server audits through OpenSSH.

1

Vibgrate MCP

Vibgrate

Query your team's drift, vulnerability, and migration data from any AI assistant. Vibgrate MCP connects Cursor, Claude, ChatGPT, Windsurf, or VS Code to Vibgrate Cloud: 51 tools for DriftScores, CVEs and EOL runtimes, up

3

ArtiBot Cloud MCP - Zhijiangyun 智匠云

bofob

ArtiBot Cloud MCP (Zhijiangyun 智匠云) — cloud MCP server for robot manipulation data & GPU workloads. 15 tools: robot fleet management, data collection & video recording, post-processing pipelines, and benchmark evaluation

1
Advertise