Is Jweather Mcp Server Safe?

Jweather Mcp Server — Nerq Trust Score 55.0/100 (D grade). Score based on 1 independent trust signals.

Jweather Mcp Server is a software tool with a Nerq Trust Score of 55.0/100 (D), based on 3 independent data dimensions. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: n/a. Machine-readable data (JSON).

Is Jweather Mcp Server safe?

Trust Score Breakdown — Jweather Mcp Server has a Nerq Trust Score of 55.0/100 (D). Measured across 1 independent trust signal.

Security Analysis → Jweather Mcp Server Privacy Report →

What is Jweather Mcp Server's trust score?

Jweather Mcp Server has a Nerq Trust Score of 55.0/100, earning a D grade. This score is based on 1 independently measured dimensions including security, maintenance, and community adoption.

Compliance
100

What are the key security findings for Jweather Mcp Server?

Jweather Mcp Server's strongest signal is compliance at 100/100. No known vulnerabilities have been detected.

Compliance: 100/100 — covers 52 of 52 jurisdictions

What is Jweather Mcp Server and who maintains it?

Authorunknown
CategoryUncategorized
Sourcehttps://pypi.org/project/jweather-mcp-server/

Regulatory Compliance

EU AI Act Risk ClassNot assessed
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

What Is Jweather Mcp Server?

Jweather Mcp Server is a software tool in the uncategorized category: 一个提供全国天气预报查询功能的模型上下文协议(Model Context Protocol)服务器。该服务器使大型语言模型(LLMs)能够获取全国城市、地区的天气预报情况。. Nerq Trust Score: 55/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses Jweather Mcp Server's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Jweather Mcp Server performs in each:

The overall Trust Score of 55.0/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Jweather Mcp Server?

Jweather Mcp Server is commonly evaluated by:

How to read the signals: Jweather Mcp Server's measured signals (the trust signals above) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Jweather Mcp Server's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Jweather Mcp Server's dependency tree.
  3. Review permissions — Understand what access Jweather Mcp Server requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Jweather Mcp Server in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=jweather-mcp-server
  6. Review the license — Confirm that Jweather Mcp Server's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Jweather Mcp Server

When evaluating whether Jweather Mcp Server is safe, consider these category-specific risks:

Data handling

Understand how Jweather Mcp Server processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check Jweather Mcp Server's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to Jweather Mcp Server. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Jweather Mcp Server connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.

License and IP compliance

Verify that Jweather Mcp Server's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Jweather Mcp Server in violation of its license can expose your organization to legal liability.

Best Practices for Using Jweather Mcp Server Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Jweather Mcp Server while minimizing risk:

Conduct regular audits

Periodically review how Jweather Mcp Server is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure Jweather Mcp Server and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant Jweather Mcp Server only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to Jweather Mcp Server's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Jweather Mcp Server is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Jweather Mcp Server

Nerq's signals are one input. In the following situations, evaluate Jweather Mcp Server's measured signals against your own requirements before making a decision:

For each situation, compare Jweather Mcp Server's measured trust score of 55.0/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Jweather Mcp Server is suitable for any particular use.

How Jweather Mcp Server Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Jweather Mcp Server's score of 55.0/100 is near the category average of 62/100.

This places Jweather Mcp Server in line with the typical uncategorized tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors Jweather Mcp Server and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or maintenance patterns change, Jweather Mcp Server's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Jweather Mcp Server's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=jweather-mcp-server&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Jweather Mcp Server are strengthening or weakening over time.

Key Takeaways

Frequently Asked Questions

Is Jweather Mcp Server Safe?
jweather-mcp-server with a Nerq Trust Score of 55.0/100 (D). Strongest signal: compliance (100/100). Score based on multiple trust dimensions.
What is Jweather Mcp Server's trust score?
jweather-mcp-server: 55.0/100 (D). Score based on multiple trust dimensions. Compliance: 100/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=jweather-mcp-server
What are safer alternatives to Jweather Mcp Server?
In the Uncategorized category, more software tools are being analyzed — check back soon. jweather-mcp-server scores 55.0/100.
How often is Jweather Mcp Server's safety score updated?
Nerq recomputes Jweather Mcp Server's trust score as new data becomes available. Current: 55.0/100 (D). API: GET nerq.ai/v1/preflight?target=jweather-mcp-server
Can I use Jweather Mcp Server in a regulated environment?
Jweather Mcp Server: 55.0/100 (D). Compliance: 52 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.

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