# Pistachio MCP Server

> Use this tool when you need to create a remote server for handling tool calls and prompt templates, enabling streamable HTTP transport for web-based clients. It solves problems related to building scalable and CORS-enabled APIs, ideal for use cases such as calculator services or localized greetings. The Pistachio MCP Server accepts HTTP requests as input and returns responses in a streamable format, making it suitable for real-time web applications.

Canonical page: https://skillsregistry.net/skills/jack-beanstalk-2022-pistachiomcp  
JSON: https://api.skillsregistry.net/v1/skills/jack-beanstalk-2022-pistachiomcp

## Description

A remote MCP server built with Node.js and TypeScript that enables tool calls and prompt templates via streamable HTTP transport. It includes example implementations for a calculator and localized greetings, featuring built-in CORS support for web-based clients.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vk936lsemn)
- **Repository:** <https://github.com/jack-beanstalk-2022/PistachioMCP>

## 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": "jack-beanstalk-2022-pistachiomcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jack-beanstalk-2022-pistachiomcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jack-beanstalk-2022-pistachiomcp/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
