Borrowing it
Nothing to install: this file belongs to nathanrcast/planning-center-mcp. 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/nathanrcast/planning-center-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/nathanrcast/planning-center-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/nathanrcast/planning-center-mcp/agents-md)<a href="https://agentmods.dev/instructions/nathanrcast/planning-center-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/nathanrcast/planning-center-mcp/agents-md/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/instructions/nathanrcast/planning-center-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/nathanrcast/planning-center-mcp/agents-md.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 | $0.00646 | $0.00646 |
| Opus 5.5 | $0.00258 | $0.00258 |
| Sonnet 5.5 | $0.00129 | $0.00129 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
planning-center-mcp AGENTS.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 today.
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 — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.
planning-center-mcp — agent notes
MCP server + pip package for Planning Center Online (Services): PCO API tools, a MongoDB cache with report queries, and an Ollama-backed ask_question agent. Tool list and setup: README.md. Public repo — lab details go in the gitignored CLAUDE.local.md.
Commands
pip install -e ".[dev]" && pytest -q(tests intests/, no network).docker compose up -d --build— servicemcp+mongo.
Consumers — changes ship only from main
- Downstream consumers install this package from GitHub
main, unpinned. A change reaches one only after it is pushed tomainand the consumer image is rebuilt withdocker compose build --no-cache(a normal rebuild keeps the cached pip layer). Keepqueries/agentsignatures backward compatible or change the consumer in step. - The container runs code from
/app, not site-packages (the Dockerfile installs only__init__.py, then copies the source). Scripts run inside it needcd /app && PYTHONPATH=/app python …or they fail withModuleNotFoundError: planning_center_mcp.sync.
Invariants
- Lyrics come from Mongo, never the PCO API (it has no lyric search). Two sources per song, both stored by
sync_pco_data: PCO arrangement lyrics, and ProPresenter 7.proattachments (protobuf with RTF slide text, parsed inpropresenter.py— no published schema). BumpPARSER_VERSIONafter changing extraction and re-sync; the cache is keyed on attachment id +updated_atand never re-reads otherwise. assign_tags_to_songmay replace a song's whole tag set — read the current tags first (Mongo or/services/v2/songs/{id}/tags) and send them along with the new one.- Agent calls to Ollama use
/api/chatwiththink: false; the model comes fromAGENT_MODEL(the hardcoded fallback inagent.pyis overridden in every deployment).
Traps
- The PCO token can't create tags —
create_song_tagreturns "Permission denied". It can assign existing tags; new ones are created in the PCO Services UI (Songs → Tags). - One song (Gratitude) 422s on PCO's
/attachments/{id}/open— PCO-side; it's logged and skipped. - Nothing schedules
sync_pco_data. Each consumer's Mongo drifts until someone syncs it. llm.pyhardcodesEMBED_MODEL(nomic-embed-text) — that model must stay installed on the Ollama host.
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.
- today First seen · 32 lines · 646 tokens per session scan A 589a03a7f791
planning-center-mcp AGENTS.md is an instructions file published in the GitHub repository nathanrcast/planning-center-mcp (1 stars, last pushed today), licensed MIT. It adds 646 tokens to every session, about $0.0026 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 2026-11-10.
planning-center-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| planning-center-mcp AGENTS.mdnathanrcast/planning-center-mcp | Instructions file | 1 | today | MIT | A | 646 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |