"python" matching MCP servers:

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

AI payment guardrails for Python & MCP: spend-capped agent identity (KYA), dry-run/budget/approval gates, prompt-injection defense, encrypted secret vault.

Tenant-bound MCP server for agent spend authorization, policy guardrails, evidence, escrow settlement, and portable receipts. Works with Cursor and Claude Code via stdio; npm (@paybond/kit) and Python (paybond-kit).

A Python MCP server that connects to an Inventory Management System, providing 15 tools for CRUD operations on users, inventory items, and bills.

Free starter pack of 2 USDT agent skills (usdt-invoice-request, wallet-address-safety) plus a stdlib-only Python MCP server that checks USDT payments on-chain, for freelancers paid in crypto.

A standard Python MCP server for AVAS Food: browse menus, build and quote carts, complete bank-transfer ordering with explicit confirmation, track deliveries, and analyze delivery spending.

Enables autonomous financial agents to pool corporate treasury cash, rebalance liquidity, and optimize yield sweeps while enforcing double-entry ledger integrity, HMAC-SHA256 signature verification, and fraud-detection safety buffers that prevent overdrafts. Runs on pure Python standard library and plugs into MCP clients such as Claude Desktop, Cursor, and Windsurf.

Enables AI agents to run automated Rubinstein alternating-offers bargaining and multi-item bundle negotiations with merchant gateways, resolving catalog availability and settling through tokenized, spend-bounded payment rails under the Universal Commerce Protocol. Ships as a zero-dependency Python standard library MCP STDIO server.

Project Point One Percent - Agent Pay \[pop-pay] is a payment guardrail and one-time flow protocol specifically designed for Agentic AI (e.g., Claude Code, OpenClaw). It enables agents to handle financial transactions safely without risking unlimited exposure of human-controlled credit cards.

Enables autonomous financial agents and payment webhooks to pool corporate treasury cash, rebalance liquidity automatically with yield-optimized sweeps and zero-overdraft safety buffers, and record every transaction in a balanced double-entry ledger with HMAC-SHA256 signature verification and sliding-window fraud detection. Runs as a zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, or any MCP-compliant client.

Enables agents to translate consumer shopping intent into aggregated item discovery, cross-merchant cart consolidation, and structured transaction checkout payloads across multiple merchants. It runs as a zero-dependency Python MCP server or importable module compatible with Claude Desktop, Cursor, and other work agent frameworks.

Enables AI assistants to classify AI systems against the EU AI Act with requirement checklists and penalty exposure, generate and validate Factur-X / EN 16931 electronic invoices, and assess GDPR and NIS2 readiness directly from the IDE. Runs as a zero-dependency Python stdio server for Claude Desktop, Cursor, and similar clients.

Enables MCP clients to retrieve invoice history, pending invoices, and billing summary counts from a SIMAR portal through read-only tools, with credentials supplied via environment variables.

Enables autonomous arbitration of refund and dispute cases by validating carrier proofs and policies through a deterministic, zero-dependency Python engine that integrates with MCP-compliant clients.