Official documentation for privacy-first personal finance for Indian households, including statement review, savings goals, MCP integrations, and user-approved AI workflows.
Saviqo is a privacy-first personal finance product for Indian households. It helps with budgeting, statement import review, cashflow summaries, savings goals, INR-native planning, and agent-ready AI with user approval.
The public docs are separated from internal implementation docs. The MCP endpoint, public API, and public skill repository are documented here as public integration surfaces.
The public skill repository is available at rakeshbhatt10/saviqo-agent-skills.
Saviqo is a privacy-first personal finance product for Indian households. It helps with budgeting, statement import review, cashflow summaries, savings goals, and INR-native planning.
Yes. Saviqo provides a protected Streamable HTTP MCP server so compatible AI agents can connect to Saviqo with authentication and user-controlled permissions.
Yes. Saviqo publishes public agent skills for recurring personal finance workflows such as monthly reviews, statement triage, budget adjustment review, and savings planning.
Yes. Saviqo is built around privacy-first personal finance, with public documentation covering data access, consent, audit logging, and safety expectations.
Saviqo uses an approval-based model: AI can help, but the user keeps approval. Write or decision-sensitive actions should require explicit user review and confirmation.