mcp-server-servicenow: Instructions file for GitHub Copilot

.github/copilot-instructions.md

mcp-server-servicenow copilot-instructions.md is an instructions file for GitHub Copilot from jschuller/mcp-server-servicenow. It costs 421 tokens per session, scanned A, original, MIT.

A set of coding instructions for a Python ServiceNow MCP server that exposes ServiceNow data and operations to an AI agent.

In plain words
What is it for?
Use it when adding or changing ServiceNow tools, resources, authentication, configuration, or tests.
Why use it?
It records the project's source layout, API-call rules, configuration approach, and authentication patterns so changes follow the existing design.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is jschuller/mcp-server-servicenow's own configuration. It tells GitHub Copilot how to work on mcp-server-servicenow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mcp-server-servicenow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jschuller/mcp-server-servicenow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jschuller/mcp-server-servicenow/main/.github/copilot-instructions.md
Clone the repo
git clone --depth 1 https://github.com/jschuller/mcp-server-servicenow

Made for: GitHub Copilot.

Wrote 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.

agentmods badge for mcp-server-servicenow copilot-instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jschuller/mcp-server-servicenow/copilot-instructions.svg)](https://agentmods.dev/instructions/jschuller/mcp-server-servicenow/copilot-instructions)
Your own site
<a href="https://agentmods.dev/instructions/jschuller/mcp-server-servicenow/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jschuller/mcp-server-servicenow/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>
Per session 421 This file is loaded in full into every session.
When invoked 421 The same file — it is already loaded in full.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00421 $0.00421
Opus 5 $0.00211 $0.00211
Sonnet 5 $0.00084 $0.00084
Haiku 4.5 $0.00042 $0.00042

Measured 6d ago against content hash 3edc616c1c93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

mcp-server-servicenow copilot-instructions.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

2. **All API calls go through `make_sn_request()`** — Handles per-user OAuth tokens (proxy mode) vs global auth. Never call `requests.get()` directly.
.github/copilot-instructions.md · 33 lines

What it actually says

ServiceNow MCP Server — AI Coding Instructions

Python MCP server built with FastMCP 4.0. Exposes 19 tools + 5 resources for ServiceNow via the Model Context Protocol (speaks both the stateless 2026-07-28 revision and the legacy handshake).

Source Code

  • src/servicenow_mcp/tools/ — Tool modules with @mcp.tool() decorators (table, CMDB, system, update sets)
  • src/servicenow_mcp/auth/ — Auth manager (basic, OAuth, API key) + OAuth proxy + token verifier
  • src/servicenow_mcp/utils/ — Pydantic config models, HTTP helper
  • src/servicenow_mcp/server.py — FastMCP singleton, make_sn_request() helper
  • src/servicenow_mcp/cli.py — CLI entry point with argparse

Critical Patterns

  1. Tools use @mcp.tool() decorator — Import mcp from servicenow_mcp.server. Use Annotated[type, Field(description="...")] for parameters.

  2. All API calls go through make_sn_request() — Handles per-user OAuth tokens (proxy mode) vs global auth. Never call requests.get() directly.

  3. Config uses Pydantic BaseModelServerConfig, AuthConfig in utils/config.py. CLI args and env vars resolved in cli.py.

  4. Auth manager handles token lifecycleauth_manager.get_headers() returns ready-to-use headers. OAuth tokens auto-refresh on 401.

  5. Responses use parse_json_response() — From utils/http.py. Handles HTML login pages (hibernating instance) gracefully.

Build & Test

pip install -e ".[dev]"
python -m pytest tests/ -v --ignore=tests/integration
ruff check src/ tests/
ruff format --check src/ tests/
Changes

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.

  1. 6d ago First seen · 33 lines · 421 tokens per session scan A 3edc616c1c93

Subscribe to this mod's changes

mcp-server-servicenow copilot-instructions.md is an instructions file published in the GitHub repository jschuller/mcp-server-servicenow (17 stars, last pushed today), licensed MIT. It adds 421 tokens to every session, about $0.0021 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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