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 rules/fortunto2/prefect-mcp-server/prefect_mcp_usagegit clone --depth 1 https://github.com/fortunto2/prefect-mcp-serverWrote 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/rules/fortunto2/prefect-mcp-server/prefect_mcp_usage)<a href="https://agentmods.dev/rules/fortunto2/prefect-mcp-server/prefect_mcp_usage"><img src="https://agentmods.dev/badge/rules/fortunto2/prefect-mcp-server/prefect_mcp_usage.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 | $0.00005 | $0.00725 |
| Opus 5 | $0.00003 | $0.00362 |
| Sonnet 5 | $0.00001 | $0.00145 |
| Haiku 4.5 | $0.00001 | $0.00072 |
Grade A, and why
prefect_mcp_usage 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 5d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prefect MCP Server Usage with Cursor
Overview
This rule provides guidance on how to work with the Prefect MCP server in the Cursor IDE, incorporating the Model Context Protocol (MCP) to interact with Prefect workflows, deployments, and flow runs.
Prerequisites
- Python 3.10 or higher
- Prefect 3.0+ installed
- MCP CLI tools installed
- Cursor IDE
Setup Environment
Installation
Install the required packages:
uv pip install prefect-mcp-server mcp[cli] prefect>=3.0.0
Environment Variables
Configure the Prefect API connection:
export PREFECT_API_URL="http://localhost:4200/api"
export PREFECT_API_KEY="your_api_key_if_needed"
Running the Prefect MCP Server
There are multiple ways to run the Prefect MCP server:
From Command Line
prefect-mcp-server
Using MCP Dev
For development and testing:
mcp dev prefect_mcp_server_pkg/server.py
Integration with Cursor
Cursor supports MCP tools, allowing you to interact with the Prefect API through the Prefect MCP server.
Available Tools
The server provides tools for:
Flow Management
- Get flow by ID (
get_flow_by_id) - Get flow by name (
get_flow_by_name) - List flows (
list_flows) - Search flows (
search_flows)
Flow Run Operations
- Get flow run by ID (
get_flow_run_by_id) - List flow runs (
list_flow_runs) - Search flow runs by state (
search_flow_runs_by_state) - Cancel flow run (
cancel_flow_run)
Deployment Operations
- Get deployment by ID (
get_deployment_by_id) - Get deployment by name (
get_deployment_by_name) - List deployments (
list_deployments) - Search deployments by status (
search_deployments_by_status) - Create flow run from deployment (
create_flow_run_from_deployment)
Using in Cursor
Cursor supports MCP tools natively, allowing you to interact with your Prefect workflows directly from the editor.
Example Usage
- Start the Prefect MCP server
- Open Cursor IDE
- Connect to the MCP server (usually automatic if running locally)
- Use the available tools through Claude AI integration in Cursor
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.
- 5d ago First seen · 126 lines · 5 tokens per session scan A 418c115f7514
prefect_mcp_usage is a cursor rule published in the GitHub repository fortunto2/prefect-mcp-server (7 stars, last pushed 11mo ago), licensed MIT. It adds 5 tokens to every session and 725 once invoked, about $0.0000 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.
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