"Databases or database systems written in Python, like Postgres" matching MCP servers:

Enables AI agents to build and structurally validate Indian GST e-invoice JSON payloads (INV/CRN/DBN) and render IRP-returned signed QR strings as PNG images.

Enables LLM agents to access Global Database's company intelligence, including company profiles, financials, ownership, people search, prospecting, and KYB/compliance lookups against official registries.

Enables Indian bank branch IFSC code lookup via Razorpay's open API, allowing AI agents to retrieve branch details using IFSC codes.

Enables AI assistants to interact with PostgreSQL databases through query execution and schema inspection, supporting multiple schemas for customer data, document management, loan systems, and asset leasing.

Paybond Kit for Python is the PyPI package for tenant-bound Paybond integrations and delegated agent spend controls. It opens hosted Gateway sessions, verifies capability tokens, authorizes tool-call spend, signs intent and evidence payloads, uses Stripe Connect, Stripe ACH Direct Debit, or x402 / USDC-on-Base settlement rails, reads tenant-scoped Signal, fraud, ledger, protocol, and A2A data, and

Exposes the SiftingIO market-data SDK to AI assistants, enabling live prices, fundamental data, and market information retrieval.

A minimal Python MCP server over Streamable HTTP using FastAPI, exposing demo tools like ping, get_positions, and list_upcoming_corporate_actions that can be replaced with read-only adapters to custody data.

MCP server that lets an AI analyst place real bets on Binance prediction markets, using Kelly criterion sizing, and tracks its performance through a transparent record of betting slips and outcomes.

A local MCP server that enables users to query the CFPB Consumer Complaint Database through natural language, retrieving financial consumer complaint records via the CFPB API.

Enables managing personal expenses through MCP tools for registering and listing gastos, reusing the backend's service layer.

Persistent expense tracker backed by Neon Postgres with SQL tools for adding, editing, deleting, and analyzing expenses via natural language.

HTTP MCP server that reads from and writes to a PostgreSQL database (bankdb). Provides tools for querying and managing customer, account, and transaction data.

A powerful SQLite-backed expense tracking server built with the Model Context Protocol (MCP). This server allows AI agents (like Claude) to manage your personal finances by adding, deleting, and listing expenses directly from your chat interface.

Enables integration with Fatture in Cloud to manage Italian electronic invoices through natural conversation, including creating, sending, and tracking invoices and financial data.

Enables adding, listing, searching, and summarizing expenses, with monthly spending summaries and budget status by category, all stored locally in SQLite with amounts in INR.

Reads and validates any European e-invoice a business receives — XRechnung, UBL, CII, ZUGFeRD/Factur-X PDF, Peppol BIS 3, FatturaPA, KSeF FA(3) — into canonical EN 16931 JSON with plain-language fix hints in EN/DE/PL/IT/FR, plus PDF, CSV and DATEV export. Nothing is stored; works without a key on a small daily quota.

Gateway connector between LLM agents and world data, providing access to financial market prices, macroeconomic indicators, and news through a bundled endpoint catalog.

Counterparty risk scoring for agentic commerce. Scores wallets, domains, IPs, and companies 0-100 before AI agents transact via x402 micropayments on Base

Enables querying Romanian financial regulation data, including regulations, enforcement actions, and currency checks, directly from AI assistants.

Query Swedish financial regulation data — regulations, decisions, and requirements from Finansinspektionen — directly from Claude, Cursor, or any MCP-compatible client.