io.github.Ryan-Clinton/municipal-fiscal-intelligence-mcp is a mcp_server sourced from mcp_registry, with a Nerq Trust Score of B- (69/100) and a compliance score of pending assessment across 0 jurisdictions. It is classified as UNASSESSED risk, with 0 high-risk classifications and 0 minimal-risk classifications. Assessed by Nerq, the world's largest AI agent trust database covering 5M+ AI assets across 52 global jurisdictions.
Last assessed: March 10, 2026 | Data from Nerq's weighted multi-jurisdiction compliance engineAssess municipal fiscal health: federal spending dependency, economic base, disaster exposure, le...
Each jurisdiction has unique AI regulation requirements. This table shows how io.github.Ryan-Clinton/municipal-fiscal-intelligence-mcp is classified under each jurisdiction's specific rules based on its type (mcp_server), domain (general), and risk indicators.
| Jurisdiction | Risk Level | Compliance Notes | Effective Date | Max Penalty |
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io.github.Ryan-Clinton/municipal-fiscal-intelligence-mcp is a mcp_server sourced from mcp_registry, authored by io.github.Ryan-Clinton. It operates in the general domain. Across global AI regulations, it is classified as unassessed risk. Nerq has assessed this agent against 0 global AI regulations, finding it to be high risk or restricted in 0 jurisdictions, subject to transparency or limited requirements in 0 jurisdictions, and minimal risk or compliant in 0 jurisdictions.
This assessment was generated using Nerq's rule-based multi-jurisdiction compliance engine, which maps AI system characteristics against the specific criteria defined in each jurisdiction's AI regulation framework. The assessment covers enacted laws, proposed legislation, and voluntary frameworks across the EU, United States, United Kingdom, Asia-Pacific, Middle East, Africa, and Latin America. First indexed on Nerq: March 09, 2026.