Gentoro generates MCP Servers based on OpenAPI specifications.
MCP Server for the Gentoro services, enabling Claude to interact with Gentoro bridges and all underlying capabilities.
Gentoro allows users to create and integrate tools into a common Bridge, defining all available capabilities.
As this MCP server is fully integrated with Gentoro, the agents, tools and their underlying functionality is fully controlled at the level of Gentoro's bridge which allows you to enable and disable tools per design.
Or download and install Gentoro locally, see the installation guide.
Create a Gentoro API Key To use this MCP Connector, you will need a Gentoro API Key. You can see the instruction on how to create one here.
Define a Bridge Using Gentoro Studio, define your bridge with all the tools and data sources required.
Add the following to your config.json
:
{
"mcpServers": {
"gentoro": {
"command": "npx",
"args": [
"-y",
"@gentoro/mcp-nodejs-server"
],
"env": {
"GENTORO_API_KEY": "<your api key>",
"GENTORO_BRIDGE_UID": "<your bridge uid>",
"GENTORO_BASE_URL": "<url where gentoro is hosted>"
}
}
}
}
Alternatively, you can use the short version of Gentoro Key:
{
"mcpServers": {
"gentoro": {
"command": "npx",
"args": [
"-y",
"@gentoro/mcp-nodejs-server"
],
"env": {
"GENTORO_KEY": "<your api key>/<your bridge uid>/<url where gentoro is hosted>",
}
}
}
}
These values are url safe, and can be properly generated at Gentoro Studio.
An MCP client for Cursor that uses OpenRouter.ai to access multiple AI models. Requires an OpenRouter API key.
An MCP server for Claude Code CLI that provides persistent session management, entity tracking, and context preservation across development sessions.
A Node.js project demonstrating MCP client and server interactions for tool poisoning attacks, requiring an Anthropic API key.
connects QGIS Desktop to Claude AI through the MCP. This integration enables prompt-assisted project creation, layer loading, code execution, and more.
Provides Ant Design component documentation to large language models (LLMs), allowing them to explore and understand the components.
Enable AI Agents to fix build failures from CircleCI.
An AI-assisted web development tool for creating, modifying, and deploying code through natural language conversations.
Loads and validates LAML (YAML-based markup language) documents via the Model Context Protocol.
Generates placeholder images from various providers like placehold.co and lorem-picsum.
A test server that demonstrates all features of the MCP protocol, including prompts, tools, resources, and sampling.