# MCP Pulse

> MCP Pulse — infoshihab-mcp-structure. Use this tool when you need to share MCP servers with clients and track usage analytics. It solves problems related to server management, tool call logging, and analytics by storing data in PostgreSQL and providing insights via an admin dashboard and API. Ideal for use cases requiring centralized server management and data-driven decision making.

Canonical page: https://skillsregistry.net/skills/infoshihab-mcp-structure  
JSON: https://api.skillsregistry.net/v1/skills/infoshihab-mcp-structure

## Description

Enables sharing MCP servers with clients, storing tool calls in PostgreSQL, and providing usage analytics via an admin dashboard and API.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oijn70v9n2)
- **Repository:** <https://github.com/infoshihab/mcp-structure>

## 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": "infoshihab-mcp-structure"
    }
  }
}
```

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

---
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