mcpField
M
MCP_sertver-algorithm

MCP_sertver-algorithm

Local
github.com/POcodingWERDeveloper Tools0Updated 79w ago
Repository

About MCP_sertver-algorithm

MCP_sertver-algorithm is a test project for implementing algorithm MCP servers. Its README documents stdio and SSE server setups, but does not describe the algorithm tools themselves.

Key features

  1. 01stdio test server setup
  2. 02SSE test server setup
  3. 03Docker image build instructions

Use cases

  1. 01Testing an MCP server over stdio
  2. 02Testing an MCP server over SSE

MCP support

It is an MCP server implementation example with stdio and SSE test setups. The README does not specify which algorithm tools it exposes.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "mcp_server-algorithm": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "build"
      ]
    }
  }
}
Run commanddocker run -i --rm build

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
ocibuild

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP_sertver-algorithm

알고리즘 MCP를 구현해보자

stdio 테스트 서버 구현

npm i

#도커로 이미지생성
docker build -t mcp-algorithm .

#mcp 추가
"mcpServers": {
 "algorithm-stdio": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "-v",
        "--rm",
        "mcp-algorithm"
      ]
    }
}

sse 테스트 서버 구현

npm i

#server 실행
npm run sse

#mcp 추가
"mcpServers": {
 "algorithm-local": {
      "url": "http://localhost:3333/sse"
    }
}

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.