Servidor Model Context Protocol (MCP) para consultar los datos estadísticos del Instituto Nacional de Estadística (INE) de España, listo para desplegar en Cloudflare Workers y usar con opencode, Claude Desktop, VS Code AI Toolkit, Cursor o cualquier cliente MCP
This grade was produced by analyzer v30 , 3 version s behind the one running now. Detectors added since have not been applied here, so it is not directly comparable with a server analyzed at the current version. A re-scan is queued.
- capability exposure inferred + 6
inferred
The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.
graded 5m ago · see ecosystem CVEs →
No known CVEs for this server.
- low dangerous code
env-secret-flows-to-network-js: A process environment value (often a secret/token) flows into a network call — possible credential exfiltration. (manalejandro-mcp-ine-9297e84/src/e
- low dangerous code
env-secret-flows-to-network-js: A process environment value (often a secret/token) flows into a network call — possible credential exfiltration. (manalejandro-mcp-ine-9297e84/src/e
- low dangerous code
env-secret-flows-to-network-js: A process environment value (often a secret/token) flows into a network call — possible credential exfiltration. (manalejandro-mcp-ine-9297e84/src/e
[](https://mcpobservatory.com/servers/github:manalejandro/mcp-ine/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of manalejandro.