MMCP Server Finder

DaedalMap Disaster and Geospatial Data

DaedalMap Disaster and Geospatial Data is an MCP server that helps AI assistants geospatial MCP server for earthquake, tsunami, volcano, disaster, and FX data queries.

Key facts

GitHub stars
2
Forks
0
License
MIT
Last commit
Sep 11, 2026
Best for
connecting AI assistants to external tools
Supported clients
Last updated
Sep 11, 2026

GitHub metrics

Stars
2
Forks
0
Open issues
0
Watchers
1
Last commit
Sep 11, 2026

Scores

GEO score

42/100

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

Popularity7/100
Freshness100/100
Growth (7d)0/100

Needs ~7 days of metric history

Maintenance100/100

Scores last calculated Sep 11, 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 DaedalMap Disaster and Geospatial Data?

DaedalMap Disaster and Geospatial Data is an MCP server that helps AI assistants geospatial MCP server for earthquake, tsunami, volcano, disaster, and FX data queries. It belongs to the Developer Tools category. It is distributed under the MIT license.

How to install DaedalMap Disaster and Geospatial Data

See the official documentation for installation instructions.

DaedalMap Disaster and Geospatial Data use cases

A general-purpose MCP server.

Safety notes

Overall risk level:High(score 100/100)
Requires API token
Yes
Writes to external systems
Yes
Accesses local filesystem
Yes
Connects to a database
Yes
Security docs
Yes

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
Forks0GitHub REST APIhigh
Last commitSep 11, 2026GitHub REST APIhigh
LicenseMITGitHub REST APIhigh
Stars2GitHub REST APIhigh
Topicsclimate, demographics, disaster-data, earthquakes, fastapi, foss, geographic-data, geospatial, llm, local-first, maps, natural-language, open-data, open-source, python, rag, self-hostedGitHub REST APIhigh
Watchers1GitHub REST APIhigh
Has Authentication DocsYesRepository READMEmedium
Has Security DocsYesRepository READMEmedium
Risk levelHighAutomated risk inferencemedium
Accesses FilesystemYesAutomated risk inferencelow
Connects DatabaseYesAutomated risk inferencelow
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: Sep 10, 2026 → Sep 11, 2026
  • Last commit: Sep 9, 2026 → Sep 10, 2026
  • Last commit: Sep 8, 2026 → Sep 9, 2026
  • Last commit: Sep 6, 2026 → Sep 8, 2026
  • Last commit: Sep 5, 2026 → Sep 6, 2026

See full changelog →

DaedalMap Disaster and Geospatial Data alternatives

  • Context761.9K · MIT · Sep 10, 2026

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  • ref-tools-ref-tools-mcp1.2K · MIT · Jun 26, 2026

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See all DaedalMap Disaster and Geospatial Data alternatives →

DaedalMap Disaster and Geospatial Data vs related MCP servers

ServerStarsForksLicenseLast commit
DaedalMap Disaster and Geospatial Data20MITSep 11, 2026
Context761.9K3KMITSep 10, 2026
GitHub MCP Server32.9K4.9KMITSep 10, 2026
MCP Registry Server7.2K983Sep 9, 2026

Frequently asked questions

What is DaedalMap Disaster and Geospatial Data?

DaedalMap Disaster and Geospatial Data is an MCP server that helps AI assistants geospatial MCP server for earthquake, tsunami, volcano, disaster, and FX data queries. It is categorized under Developer Tools.

What are good alternatives to DaedalMap Disaster and Geospatial Data?

Popular alternatives include Context7, GitHub MCP Server, MCP Registry Server, and strata.

How popular is DaedalMap Disaster and Geospatial Data on GitHub?

DaedalMap Disaster and Geospatial Data has about 2 GitHub stars and 0 forks.

Last updated