gis-mcp

Name: gis-mcp
Rating: 2.99 (1 reviews)
Author: mahdin75

#1728 · by mahdin75

agent tool-use multi-step

2.99/ 5.00

cautionBeta

Score capped to 2.99 (raw score: 3.24) due to insufficient data in one or more signals. The composite is held at caution level until all signals can be fully evaluated.

Mar 5, 2026 at 8:04 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

high23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

1 of 3 sub-signals with data

Known CVEs100%5.0

No known CVEs

via OSV.dev

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chainno data—

Weight redistributed to sub-signals with data

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 10 checks

via Health checks

Response Latency25%5.0

p99: 150ms, p50: 127ms

via Health checks

Error Rate20%1.0

30.00% error rate (3/10)

via Health checks

Incident History20%3.0

2 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

4 of 4 sub-signals with data

Commit Recency30%3.0

via GitHub

Release Cadence25%3.0

via GitHub

Issue Response20%2.0

via GitHub

CI/CD Presence25%5.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

1 of 4 sub-signals with data

Download Volumeno data—

Weight redistributed to sub-signals with data

GitHub Stars100%2.0

118 stars

via GitHub

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trendno data—

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (mit)

via GitHub

Documentation25%5.0

Docs site present with comprehensive README (>2000 bytes + examples)

via GitHub

Security Policy20%2.0

No SECURITY.md found

via GitHub

Changelog25%4.0

Releases exist but no CHANGELOG.md

via GitHub

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%0.0

via Fabric index

Org Maturity30%0.0

via GitHub

Community Standing20%0.0

via GitHub

Cross-Platform20%0.0

via Registry scan

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

– A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform accurate geospatial operations and transformations.

Package Availability (30d)

100.00%

p50: 127ms · p99: 150ms

Avg Latency

98ms

averaged across 30d health checks

Weekly Downloads

—

no package registry data

Transparency & Compliance4/5 passed

✓

Open Source CodePublic repository on GitHub