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
- Category
- Monitoring & Observability
- GitHub stars
- 0
- Forks
- 0
- License
- MIT
- Last commit
- Oct 3, 2025
- Best for
- connecting AI assistants to external tools
- Supported clients
- —
- Last updated
- Jun 12, 2026
GitHub metrics
- Stars
- 0
- Forks
- 0
- Open issues
- 1
- Watchers
- 0
- Last commit
- Oct 3, 2025
Scores
GEO score
11/100
Weighted blend: popularity 35%, freshness 25%, growth 25%, maintenance 15%.
Needs ~7 days of metric history
Scores last calculated Jun 12, 2026.
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
- 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
| Field | Value | Source | Confidence |
|---|---|---|---|
| Forks | 0 | GitHub REST API | high |
| Last commit | Oct 3, 2025 | GitHub REST API | high |
| License | MIT | GitHub REST API | high |
| Stars | 0 | GitHub REST API | high |
| Watchers | 0 | GitHub REST API | high |
| Has Authentication Docs | Yes | Repository README | medium |
| Has Security Docs | No | Repository README | medium |
| Risk level | High | Automated risk inference | medium |
| Requires Api Token | Yes | Automated risk inference | low |
| Uses Network Access | Yes | Automated risk inference | low |
| Writes External System | Yes | Automated risk inference | low |
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
- License set to MIT
- Last commit set to Oct 3, 2025
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jenniferjiang0511-mit-ai-studio-hw3 vs related MCP servers
| Server | Stars | Forks | License | Last commit |
|---|---|---|---|---|
| jenniferjiang0511-mit-ai-studio-hw3 | 0 | 0 | MIT | Oct 3, 2025 |
| Grafana MCP | 3.1K | 378 | Apache-2.0 | Jun 12, 2026 |
| Sentry MCP | 725 | 115 | MIT | Jun 12, 2026 |
| Auth0 MCP Server | 108 | 40 | MIT | Jun 11, 2026 |
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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