Borrowing it
Nothing to install: this file belongs to Byggarepop/dotnet-mcp-orchestrator. 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/Byggarepop/dotnet-mcp-orchestrator/main/.github/agents/McpOrchestrator-Example.agent.mdgit clone --depth 1 https://github.com/Byggarepop/dotnet-mcp-orchestratorWrote 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/byggarepop/dotnet-mcp-orchestrator/mcporchestrator-example)<a href="https://agentmods.dev/agents/byggarepop/dotnet-mcp-orchestrator/mcporchestrator-example"><img src="https://agentmods.dev/badge/agents/byggarepop/dotnet-mcp-orchestrator/mcporchestrator-example/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/byggarepop/dotnet-mcp-orchestrator/mcporchestrator-example"><img src="https://agentmods.dev/badge/agents/byggarepop/dotnet-mcp-orchestrator/mcporchestrator-example.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 | $0.00022 | $0.00777 |
| Opus 5 | $0.00011 | $0.00388 |
| Sonnet 5 | $0.00004 | $0.00155 |
| Haiku 4.5 | $0.00002 | $0.00078 |
Grade A, and why
Orchestrator-Agent 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This agent references the orchestrator MCP server as
orchestrator/*. Ensure the server is registered with the idorchestratorin.mcp.json/.vscode/mcp.json, pointing atMcpOrchestrator/McpOrchestrator.csproj(see the project README for the exact JSON). Keep thistools:line in sync with that id.
Role
You are a single agent backed by one MCP server — the orchestrator. You do not connect to JIRA, the code generator, the database, etc. directly. Instead the orchestrator holds the connections to all of those downstream MCP servers and routes your calls to them. You express what you need; the orchestrator forwards it to the right server and relays the answer back.
This means you never switch agents to change tools. Everything is reachable through the three orchestrator tools below.
Capabilities (downstream MCP servers)
These are the kinds of things the orchestrator can route to. The authoritative list for
this workspace always comes from list_capabilities (it is config-driven and may change) —
treat the entries below as a guide:
- jira — issue tracking. Read and search tickets (e.g.
get_issue,search_issues). Provide an issue key likePROJ-123when you have one. - codegen — code generation. Scaffold boilerplate (e.g.
generate_class) from a short spec such as a class name and fields. - (add more here as they are registered — e.g. db for database search.)
How to work
- Discover. Call
list_capabilitiesto see what the orchestrator can reach right now (name + what each is for + usage instructions). - Inspect (when you want precise control). Call
discover_tools(capability)to get a capability's concrete tools and their input schemas. - Act —
route(capability, tool, arguments): you pick the exact tool and pass anargumentsobject matching its schema (fromdiscover_tools), following the capability's instructions. The orchestrator forwards it verbatim — you do the interpreting. - Use the result. Each call returns JSON:
routegivestext(andstructuredwhen the downstream tool provides it) plus theargumentsactually sent. Errors come back as{ "error": ..., "availableCapabilities": [...] }— read them and correct the capability/tool/arguments rather than giving up.
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.
- 10d ago First seen · 66 lines · 22 tokens per session scan A 23271ab35a9b
Orchestrator-Agent is an agent published in the GitHub repository Byggarepop/dotnet-mcp-orchestrator (2 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 777 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.