Borrowing it
Nothing to install: this file belongs to managedcode/PrompterOne. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/managedcode/PrompterOne/main/.codex/skills/dotnet-microsoft-agent-framework/references/official-docs/tutorials/agents/agent-as-mcp-tool.mdgit clone --depth 1 https://github.com/managedcode/PrompterOneWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/managedcode/prompterone/agent-as-mcp-tool)<a href="https://agentmods.dev/agents/managedcode/prompterone/agent-as-mcp-tool"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/agent-as-mcp-tool/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/managedcode/prompterone/agent-as-mcp-tool"><img src="https://agentmods.dev/badge/agents/managedcode/prompterone/agent-as-mcp-tool.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00013 | $0.01139 |
| Opus 5.5 | $0.00005 | $0.00456 |
| Sonnet 5.5 | $0.00003 | $0.00228 |
| Haiku 4.5 | $0.00001 | $0.00114 |
Grade A, and why
agent-as-mcp-tool scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-as-mcp-tool — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Expose an agent as an MCP tool
::: zone pivot="programming-language-csharp"
This tutorial shows you how to expose an agent as a tool over the Model Context Protocol (MCP), so it can be used by other systems that support MCP tools.
Prerequisites
For prerequisites see the Create and run a simple agent step in this tutorial.
Install NuGet packages
To use Microsoft Agent Framework with Azure OpenAI, you need to install the following NuGet packages:
dotnet add package Azure.AI.OpenAI --prerelease
dotnet add package Azure.Identity
dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
To also add support for hosting a tool over the Model Context Protocol (MCP), add the following NuGet packages
dotnet add package Microsoft.Extensions.Hosting --prerelease
dotnet add package ModelContextProtocol --prerelease
Expose an agent as an MCP tool
You can expose an AIAgent as an MCP tool by wrapping it in a function and using McpServerTool. You then need to register it with an MCP server. This allows the agent to be invoked as a tool by any MCP-compatible client.
First, create an agent that you'll expose as an MCP tool.
using System;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI;
AIAgent agent = new AzureOpenAIClient(
new Uri("https://<myresource>.openai.azure.com"),
new AzureCliCredential())
.GetChatClient("gpt-4o-mini")
.AsAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
Turn the agent into a function tool and then an MCP tool. The agent name and description will be used as the mcp tool name and description.
using ModelContextProtocol.Server;
McpServerTool tool = McpServerTool.Create(agent.AsAIFunction());
Setup the MCP server to listen for incoming requests over standard input/output and expose the MCP tool:
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using ModelContextProtocol.Server;
HostApplicationBuilder builder = Host.CreateEmptyApplicationBuilder(settings: null);
builder.Services
.AddMcpServer()
.WithStdioServerTransport()
.WithTools([tool]);
await builder.Build().RunAsync();
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 156 lines · 13 tokens per session scan A 742fd4dd6d71
agent-as-mcp-tool is an agent published in the GitHub repository managedcode/PrompterOne (45 stars, last pushed 5mo ago), licensed MIT. It adds 13 tokens to every session and 1,139 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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