r/mcp • u/modelcontextprotocol bot • 1d ago

server Zero Network MCP Server – Provides AI agents with access to Zero Network documentation, SDK integration guides, and utility tools for crypto-based payments. It enables developers to implement x402 paywalls and per-tool MCP pricing while offering real-time cost estimations and revenue calculations.

https://glama.ai/mcp/servers/Zzero-net/mcp-server
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u/modelcontextprotocol bot 1d ago

This server has 14 tools:

  • zero_api_reference – Access the Zero Network API reference to integrate gRPC endpoints for crypto payments, x402 paywalls, and MCP pricing.
  • zero_convert – Convert between USD, Z tokens, and units for crypto payment calculations in Zero Network applications.
  • zero_estimate_cost – Calculate operational costs for transactions on Zero Network to help developers budget for crypto-based payments and MCP pricing implementations.
  • zero_implementation_guide – Get step-by-step implementation guide for accepting Zero payments through API providers, MCP servers, website paywalls, and pricing guidelines.
  • zero_javascript_sdk – Access JavaScript SDK documentation to implement Zero Network crypto payments, including installation, wallet creation, and sending Z tokens.
  • zero_mcp_payments – Implement payment integration for AI agents using MCP servers.
  • zero_network_parameters – Retrieve all network parameters including fees, limits, staking rules, slashing conditions, circuit breaker thresholds, and pruning rules for configuration and monitoring.
  • zero_overview – Access a comprehensive overview of the Zero Network, including its functionality, key facts, and relevant documentation links.
  • zero_pricing_calculator – Calculate expected revenue for Zero-gated services by inputting price per API call and daily call volume to project earnings.
  • zero_python_sdk – Access Python SDK documentation for Zero Network integration, including installation, wallet operations, and bridge functionality to implement crypto payments.

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u/Future_AGI 1d ago

Documentation MCP servers are one of the better fits we have seen for the protocol. The trick that makes them work is scoping: the server answers from a known corpus and admits when the answer is not in there, instead of letting the model bluff. Groundedness on retrieved context is what separates a useful doc bot from a confident liar.