# MCP Agent Server

> Use this tool when you need to create and manage AI agents that interact with multiple clients and providers. It solves problems of agent integration, composition, and customization, enabling seamless connections between AI models and applications. The MCP Agent Server takes in AI model configurations and client connections as inputs, and outputs managed AI agents with integrated tools and capabilities.

Canonical page: https://skillsregistry.net/skills/fkesheh-mcp-agent-server  
JSON: https://api.skillsregistry.net/v1/skills/fkesheh-mcp-agent-server

## Description

A hub for creating and managing AI agents that connect to MCP-compatible clients, supporting multiple LLM providers and enabling agent composition and custom tool integration.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qsukxc2i04)
- **Repository:** <https://github.com/fkesheh/mcp-agent-server>

## 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": "fkesheh-mcp-agent-server"
    }
  }
}
```

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