# MCP_server

> MCP_server — ranjith8847-mcp-server. Use this tool when you need to implement a Message Control Protocol (MCP) server in Python, solving communication and messaging problems between systems. It provides a flexible interface for both standard input/output (stdio) and HTTP use cases, allowing for seamless integration with various applications. Ideal for use in distributed systems, networked applications, or microservices architecture, where reliable messaging is crucial.

Canonical page: https://skillsregistry.net/skills/ranjith8847-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ranjith8847-mcp-server

## Description

Implementing an MCP Server in Python using FastMCP, Covering both the usecases "stdio" and "http""

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ranjith8847/MCP_server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ranjith8847-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ranjith8847-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ranjith8847-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt