Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/aixolotl/microsoft-planner-mcp/copilot-instructionsgit clone --depth 1 https://github.com/aixolotl/microsoft-planner-mcpWrote 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/instructions/aixolotl/microsoft-planner-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/aixolotl/microsoft-planner-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/aixolotl/microsoft-planner-mcp/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00556 | $0.00556 |
| Opus 5 | $0.00278 | $0.00278 |
| Sonnet 5 | $0.00111 | $0.00111 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
microsoft-planner-mcp copilot-instructions.md 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 6d 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Planner MCP — Copilot Instructions
Project Overview
MCP server for Microsoft Planner built with FastMCP and Microsoft Graph SDK. Authenticates via Azure Entra ID On-Behalf-Of flow.
Stack
- Python 3.12+ with
from __future__ import annotationsin every module - FastMCP (
fastmcp[apps]) — MCP server framework with routers, tools, and OAuth - Microsoft Graph SDK (
msgraph-sdk) — Planner API viaGraphServiceClient - Pydantic Settings — environment-based configuration
- pytest + pytest-asyncio (auto mode) — testing
- uv — package manager and task runner
Project Structure
src/— application packagesrc/server.py— FastMCP app, middleware, route mountingsrc/config.py—Settingsviapydantic_settings.BaseSettingssrc/auth_provider.py— Azure OAuth providersrc/deps.py— shared dependency helpers (e.g.get_optional_context())src/graph_client_manager.py— singletonGraphClientManagerwith per-user OBO clientssrc/types.py— shared structural types (e.g.CollectionRequestBuilderProtocol)src/services/— business logic wrapping Graph SDK callssrc/tools/— FastMCP tool routers (one router per domain, mounted inserver.py)
tests/— unit tests mirroringsrc/structure
Conventions
- Tool routers live in
src/tools/as separateFastMCPinstances mounted on the main app - Services in
src/services/accept aGraphServiceClientand encapsulate Graph API logic - All Graph calls use
async with graph_client_manager.for_user(token)for OBO auth - Tools that require business logic instantiate the relevant service inside the
async withblock:service = PlannerService(graph_client) - Simple direct Graph reads (no pagination, no retry, no ETag) may call the SDK directly from the tool without a service
- Tools must check
get_access_token()and raiseAuthorizationErrorwhenNone - Use
get_optional_context()fromsrc.depsinstead of rawtry/except RuntimeErroraroundget_context() - Run tests with
uv run pytest -v - Run server with
uv run uvicorn src.server:app --host 0.0.0.0 --port 8000 --reload
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.
- 6d ago First seen · 40 lines · 556 tokens per session scan A 728a3c97ab82
microsoft-planner-mcp copilot-instructions.md is an instructions file published in the GitHub repository aixolotl/microsoft-planner-mcp (11 stars, last pushed 2mo ago), licensed MIT. It adds 556 tokens to every session, about $0.0028 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 2026-08-30.
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AGENTS.md instructions for sandraschi/jellyfin-mcp, covering jellyfin-mcp — agent guide, entry points, standards and key files.
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