weather-forecast-mcp (Sgt-Hashtag/weather-forecast-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 5 tools. No publisher has claimed this listing.

Emerging

74/100

weather-forecast-mcp

Item: weather-forecast-mcp
Rating: 74
Author: M8ven

→ Sgt-Hashtag/weather-forecast-mcp · listed on github_code

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

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Who stands behind it

Sgt-Hashtag

Source: github_code

Is this your MCP?

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Install from

GitHub

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.

🔐

You'll be asked for 2 credentials: GOOGLE_API_KEY, MAPBOX_ACCESS_TOKEN

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// tools this server exposes5 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

buffer_point

delineate_field_boundaries

Delineate agricultural field boundaries at a given location. Uses agribound with SAM for instance segmentation of agricultural fields.

retrieve_weather_forecast

Retrieve weather forecast for bounding box from BMD data. Returns a JSON string with forecast data.

search_crop_calendar

Search the BAMIS agricultural calendar for weather thresholds, crop stages, pest warnings, or favorable conditions. Args: query: A natural language query (e.g., "Tomato rainfall in week 49", "Wheat rust warning Barisal"). k: Number of results to return (default 5).

get_field_analysis

Delineates field boundaries and analyzes crops using Agribound.

// 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.

🔐 secretGOOGLE_API_KEY

🔐 secretMAPBOX_ACCESS_TOKEN

configGEE_PROJECT_ID

configSTART_DATE

configEND_DATE

configEND_OFFSET_DAYS

configPRITHVI2_MODEL_REPO

configGPU_INFERENCESets =true → agribound uses device="auto" (resolves to CUDA)

configSAM_CHECKPOINT

// 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

5/5 tools missing one or more hints — buffer_point (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); delineate_field_boundaries (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); retrieve_weather_forecast (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 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.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tests exist

No test files found

Add tests that exercise each declared tool.

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.

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commit: 7433ccf90dcd5c87c1d9c3fb480273d2af086489

code hash: e96f8dee27e2d96b06842dd37ec0b5f2f724cb3fbe8acd6ff07c30960a788a55

view raw JSON →

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