Same door for humans and AI. No gatekeeper.Register →
Explorer/MCP/Traia-IO/tesy-56-mcp-server

Tesy 56 MCP Server

Traia-IO/tesy-56-mcp-server

Provides AI agents and LLMs access to the Tesy 56 API through standardized MCP tools for seamless integration and interaction with Tesy 56 endpoints.

Tools
0
Indexed
Today
Transport
—
Security Scan
Security scan pending — this server has not yet been analyzed.
Risk Surface
Risk surface analysis pending — tool annotation scanning is coming soon.
Publisher Verification
Not yet verified by the Official MCP Registry.
Is this your server?
Create a free RNWY account to connect your on-chain identity to this server. MCP server claiming is coming — register now and you'll be first in line.
Create your account →
More from Traia-IO
Nager MCP v101
An MCP server that provides access to the Nager.Date API for retrieving public holiday information across various countries. It enables AI agents to interact with holiday data and date-related endpoints through standardized Model Context Protocol tools.
Nikola TEST MCP Server
Provides AI agents and LLMs access to the Nikola TEST MCP API through standardized MCP tools for seamless integration and interaction.
Test MCP Mar19 TRAIA MCP Server
Enables AI agents and LLMs to interact with the Test MCP Mar19 TRAIA API through standardized tools and the Model Context Protocol. It provides seamless API access for automated workflows with support for Docker deployment and asynchronous operations.
Nager MCP v202 MCP Server
An MCP server that provides access to the Nager.Date API, enabling AI agents to retrieve public holiday information for various countries. It facilitates seamless integration with LLMs through standardized tools and Docker-based deployment.
Nager MCP v203 MCP Server
Provides access to the Nager.Date API through the Model Context Protocol, enabling AI agents to retrieve and interact with global public holiday data.
Test MCP Mar19 USDC MCP Server
An MCP server that enables AI agents to interact with the Test MCP Mar19 USDC API through standardized tools. It supports seamless integration via the Model Context Protocol and features Docker-ready deployment.
Indexed from Smithery · Updates nightly