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glama

civic-library-mcp

An MCP server that gives AI agents clean, token-efficient access to US civic & property data — geocoding, census tracts, Opportunity Zones, ACS demographics, and FEMA flood zones — sourced entirely from free federal open data.

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// key findings
⚠️
Known vulnerabilities in dependencies: 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: CENSUS_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// known CVEs in dependencies2 high

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

highxlsx@0.18.5GHSA-4r6h-8v6p-xvw6

Prototype Pollution in sheetJS

highxlsx@0.18.5GHSA-5pgg-2g8v-p4x9

SheetJS Regular Expression Denial of Service (ReDoS)

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCENSUS_ACS_YEAR
🔐 secretCENSUS_API_KEY"": "your-free-census-key-optional"
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/adriancisnerosspeed-hub-civic-library-mcp-kyirp8)](https://m8ven.ai/mcp/adriancisnerosspeed-hub-civic-library-mcp-kyirp8)
commit: b25ebeabd5e4555897b0db4b52a3e3efebbc6697
code hash: 8ccc577efee550741222c6c0ec30832272cf83de4df0aacab5c07e09dc1287eb
verified: 6/16/2026, 11:30:33 AM
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