# MCP Starter

> Use this tool when you need to build Model Context Protocol (MCP) servers with standardized discovery flows and permission-aware tools. It solves problems of implementing MCP services from scratch, providing pre-configured core and operable profiles for quick implementation, testing, and distribution. The MCP Starter template takes TypeScript inputs and outputs production-ready MCP services, ideal for use in developing and deploying MCP servers with streamlined discovery and permission management.

Canonical page: https://skillsregistry.net/skills/dyxbenjamin-filesearch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dyxbenjamin-filesearch-mcp

## Description

An agent-ready TypeScript template for building Model Context Protocol (MCP) servers with standardized discovery flows and permission-aware tools. It provides pre-configured core and operable profiles to help developers quickly implement, test, and distribute production-ready MCP services.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/esamcctgzn)
- **Repository:** <https://github.com/DyxBenjamin/filesearch-mcp>

## 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": "dyxbenjamin-filesearch-mcp"
    }
  }
}
```

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