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jenniferjiang0511-mit-ai-studio-hw3

jenniferjiang0511-mit-ai-studio-hw3 is an MCP server that helps AI assistants greet people by name and check local forecasts and weather alerts across the U.S. Switch to a play….

Key facts

GitHub stars
0
Forks
1
License
MIT
Last commit
Oct 3, 2025
Best for
connecting AI assistants to external tools
Supported clients
Last updated
Jul 20, 2026

GitHub metrics

Stars
0
Forks
1
Open issues
2
Watchers
0
Last commit
Oct 3, 2025

Scores

GEO score

11/100

Weighted blend: popularity 35%, freshness 25%, growth 25%, maintenance 15%.

Popularity1/100
Freshness10/100
Growth (7d)0/100

Needs ~7 days of metric history

Maintenance55/100

Scores last calculated Jul 20, 2026.

Benchmark summary

Benchmark

22

Install

unknown

Startup

unknown

Last tested

Unknown

Capabilities discovered: 0 tools, 0 resources, and 0 prompts.

View full benchmark report →

What is jenniferjiang0511-mit-ai-studio-hw3?

jenniferjiang0511-mit-ai-studio-hw3 is an MCP server that helps AI assistants greet people by name and check local forecasts and weather alerts across the U.S. Switch to a play…. It belongs to the Monitoring & Observability category. It is distributed under the MIT license.

How to install jenniferjiang0511-mit-ai-studio-hw3

See the official documentation for installation instructions.

jenniferjiang0511-mit-ai-studio-hw3 use cases

A general-purpose MCP server.

Safety notes

Overall risk level:High(score 50/100)
Requires API token
Yes
Writes to external systems
Yes
Accesses local filesystem
Unknown
Connects to a database
Unknown
Security docs
No

Inferred by rule from each server's metadata, README, and category. "Unknown" means the signal could not be determined — always verify against the official docs before granting access.

Data sources

FieldValueSourceConfidence
Forks1GitHub REST APIhigh
Last commitOct 3, 2025GitHub REST APIhigh
LicenseMITGitHub REST APIhigh
Stars0GitHub REST APIhigh
Watchers0GitHub REST APIhigh
Has Authentication DocsYesRepository READMEmedium
Has Security DocsNoRepository READMEmedium
Risk levelHighAutomated risk inferencemedium
Requires Api TokenYesAutomated risk inferencelow
Uses Network AccessYesAutomated risk inferencelow
Writes External SystemYesAutomated risk inferencelow

Confidence reflects the source: high = GitHub REST API, medium = README-derived or synthesized, low = inferred from keywords. Fields that cannot be determined are shown as "Unknown" — never fabricated.

Recent changes

  • Last commit: Oct 3, 2025 → Oct 3, 2025
  • Last commit: Oct 3, 2025 → Oct 3, 2025
  • Last commit: Oct 3, 2025 → Oct 3, 2025
  • Last commit: Oct 3, 2025 → Oct 3, 2025
  • Last commit: Oct 3, 2025 → Oct 3, 2025

See full changelog →

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jenniferjiang0511-mit-ai-studio-hw3 vs related MCP servers

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Frequently asked questions

What is jenniferjiang0511-mit-ai-studio-hw3?

jenniferjiang0511-mit-ai-studio-hw3 is an MCP server that helps AI assistants greet people by name and check local forecasts and weather alerts across the U.S. Switch to a play…. It is categorized under Monitoring & Observability.

What are good alternatives to jenniferjiang0511-mit-ai-studio-hw3?

Popular alternatives include Grafana MCP, Sentry MCP, Auth0 MCP Server, and mcp.

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