# MCP Tool-Calling Agent

> MCP Tool-Calling Agent — theprakashv-mcp-tool-calling-agent. Use this tool when you need to dynamically integrate and execute multiple tools and services across various platforms, solving problems of scalability, security, and complexity in workflow automation. It enables seamless interaction with file, GitHub, SQL, and Python execution tools, handling authentication, rate limiting, and observability. Ideal for use cases requiring parallel execution and secure deployment of diverse toolsets.

Canonical page: https://skillsregistry.net/skills/theprakashv-mcp-tool-calling-agent  
JSON: https://api.skillsregistry.net/v1/skills/theprakashv-mcp-tool-calling-agent

## Description

Enables an LLM to dynamically discover and call tools across multiple MCP servers (file, GitHub, SQL, Python execution) with authentication, rate limiting, and observability, supporting parallel execution and secure deployment.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c9p6uyvmjw)
- **Repository:** <https://github.com/ThePrakashV/mcp-tool-calling-agent>

## 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": "theprakashv-mcp-tool-calling-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/theprakashv-mcp-tool-calling-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/theprakashv-mcp-tool-calling-agent/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