# mcp-server-blog

> Use this tool when you need to demonstrate production-ready server patterns, such as OAuth 2.0 token validation and Firestore integration, to manage workspace contexts and validate data using Zod schemas in a TypeScript environment. It solves problems related to secure authentication, data storage, and validation in server-side applications. Ideal for use cases requiring robust and scalable server architecture, with inputs including OAuth tokens and workspace data, and outputs including validated user contexts and stored data.

Canonical page: https://skillsregistry.net/skills/portal-labs-infrastructure-mcp-server-blog  
JSON: https://api.skillsregistry.net/v1/skills/portal-labs-infrastructure-mcp-server-blog

## Description

A demo MCP server illustrating production patterns including OAuth 2.0 token validation, workspace context management, Firestore integration, and Zod schema validation using TypeScript.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y5k1galsj8)
- **Repository:** <https://github.com/portal-labs-infrastructure/mcp-server-blog>

## 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": "portal-labs-infrastructure-mcp-server-blog"
    }
  }
}
```

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