appflowy-mcp-toolkit

v0.4.0 suspicious
6.0
Medium Risk

MCP server, Python client, and CLI for AppFlowy automation

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits moderate risks, particularly concerning obfuscation and shell execution, which might indicate an attempt to conceal malicious activities. However, there is no definitive evidence of malicious intent or credential risk.

  • High obfuscation risk
  • Moderate shell execution risk
Per-check LLM notes
  • Network: Network calls may be part of legitimate functionality like API interactions or user authentication, but unusual endpoints should be investigated.
  • Shell: Shell execution could be for running system checks or commands related to the application's operation, but it poses a higher risk due to potential misuse for executing arbitrary code.
  • Obfuscation: The observed patterns suggest potential obfuscation techniques that could be used to hide code logic, possibly indicating an attempt to obscure the functionality of the package.
  • Credentials: No clear signs of credential harvesting or secret handling were detected in the provided snippets.
  • Metadata: The author has only one package on PyPI, which may indicate a new or less active account.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 24 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • 24 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/Cosmin-DB/appflowy-mcp-toolkit#readme
  • Detailed PyPI description (15651 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 550 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 90 commits in Cosmin-DB/appflowy-mcp-toolkit
  • Single author but highly active (90 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • ) -> dict[str, str]: with httpx.Client(timeout=30.0) as client: signup_payload = {"email":
  • token: str) -> None: with httpx.Client(timeout=30.0) as client: response = client.get(f"{ba
  • self._client = http_client or httpx.Client(timeout=self.config.timeout_seconds) self._owns_clie
  • test_config, http_client=httpx.Client(transport=httpx.MockTransport(handler)) ) retur
  • -token"), http_client=httpx.Client(transport=httpx.MockTransport(handler)), ) result =
  • config, http_client=httpx.Client(transport=httpx.MockTransport(handler)), ) created
⚠ Code Obfuscation score 8.0

Found 4 obfuscation pattern(s)

  • efresh-1", ) client = __import__("appflowy_mcp_toolkit.client", fromlist=["AppFlowyClient"]).AppFlowyClient( config, http_client=httpx.C
  • : "y" * 50000} full = len(__import__("json").dumps(big, indent=2, ensure_ascii=False)) result = comp
  • data = {"k": "v"} text = __import__("json").dumps(data, indent=2, ensure_ascii=False, sort_keys=False)
  • ": 2}, ) == b"\x0a\x05\x08\xac\x02\x10\x02\x10\x01" ) def test_decode_database_blob_diff_response_summar
⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • None: try: proc = subprocess.run( [executable, "--version"], capture_
  • er() try: proc = subprocess.run( [node, str(_HELPER_JS)], input=json
  • compose_command() probe = subprocess.run( [*cmd, "ps", "--services"], cwd=ROOT,
  • ompose_control() result = subprocess.run( [*cmd, "restart", "appflowy_cloud"], cwd=RO
  • False try: _node_result = subprocess.run(["node", "--version"], capture_output=True, text=True, timeo
  • YJS_PATH set.""" result = subprocess.run( ["node", str(_BUILDER_JS), cmd, json.dumps(list(arg
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Cosmin-DB/appflowy-mcp-toolkit appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Cosmin Dobrescu" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with appflowy-mcp-toolkit 
Create a task management mini-app using the 'appflowy-mcp-toolkit' Python package. This app will allow users to create, edit, delete, and categorize tasks, all within a user-friendly interface that leverages the capabilities of the AppFlowy platform. The goal is to demonstrate the integration of AppFlowy with Python-based backend services through the MCP server and CLI functionalities provided by the 'appflowy-mcp-toolkit'. Here’s a step-by-step guide on how to develop this mini-app:

1. **Setup Project Environment**: Begin by setting up your Python development environment. Ensure you have Python installed, then install the 'appflowy-mcp-toolkit' package using pip.
2. **Design Database Schema**: Define a simple database schema to store tasks. Each task should include fields like title, description, status (e.g., pending, completed), category, and due date.
3. **Integrate MCP Server**: Use the MCP server from 'appflowy-mcp-toolkit' to handle CRUD operations for tasks. Implement functions to connect to the server, send requests to create, read, update, and delete tasks.
4. **Implement CLI Commands**: Develop CLI commands that interact with the MCP server to manage tasks. Users should be able to use these commands from their terminal to perform actions such as listing all tasks, adding a new task, marking a task as complete, and more.
5. **User Interface**: Create a basic command-line interface (CLI) for the user to interact with the task management system. This CLI should provide options to view tasks, add new ones, modify existing tasks, and delete tasks.
6. **Testing**: Thoroughly test the application to ensure that it functions correctly. Verify that all CRUD operations work as expected and that the CLI commands operate without errors.
7. **Documentation**: Write documentation that explains how to set up the project, how to use the CLI commands, and any other important information for users.

Suggested Features:
- Ability to filter tasks by status or category.
- Support for setting reminders for upcoming due dates.
- Option to export task lists into CSV or JSON format.
- User authentication to secure task data.

By completing this project, you'll gain experience in integrating third-party packages, managing databases, and building robust command-line applications.

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