Reservation Platform MCP Server (pak3430/Reservation-Platform-MCP-Server) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 25 tools. No publisher has claimed this listing.

C
Emerging
74/100

Reservation Platform MCP Server

Enables unified management of reservations across multiple Korean platforms (Naver, Airbnb, SpaceCloud, Yanolja, Kakao) with features for duplicate booking prevention, revenue tracking, customer management, and automated messaging through iCalendar integration.

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

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Who stands behind it

pak3430

Source: Glama

Is this your MCP?

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Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configICAL_SYNC_ENABLED
configICAL_SYNC_INTERVAL
configAIRBNB_ICAL_URL
configSPACECLOUD_ICAL_URL
configNAVER_ICAL_URL
configYANOLJA_ICAL_URL
configKAKAO_ICAL_URL
configTRANSPORT
configPYTHON_DOTENV_DISABLED
config_TYPER_STANDARD_TRACEBACK
configXDG_CONFIG_HOME
Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.
deployPORT
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

26/26 tools missing one or more hints — my_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); tool_with_context (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); async_tool (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +23 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Tool test coverage

10/26 tools referenced in tests (38%)

Write tests that reference each tool by name so every tool has at least one test.

No eval / new Function

2 eval() or new Function() calls — dynamic code execution

Replace eval / Function with explicit parsing or safer alternatives.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/pak3430/reservation-platform-mcp-server)](https://m8ven.ai/mcp/pak3430/reservation-platform-mcp-server)
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commit: fd75aad41ef2cd61bd3daa5bae72ec8b7bf1876b
code hash: bc09197b7d4c0c0deef8300c1b8a6b1d64056374ff999a7547ee5c09a9509ee9
view raw JSON →
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