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.
GitLab API, enabling project management
Retrieving and analyzing issues from Sentry.io
Create crafted UI components inspired by the best 21st.dev design engineers.
Connect to any function, any language, across network boundaries using AgentRPC.
APIMatic MCP Server is used to validate OpenAPI specifications using APIMatic. The server processes OpenAPI files and returns validation summaries by leveraging APIMatic’s API.
Bring the full power of BrowserStack’s Test Platform to your AI tools, making testing faster and easier for every developer and tester on your team.
Flag features, manage company data, and control feature access using Bucket
Enable AI Agents to fix build failures from CircleCI.
Introspect and query your apps deployed to Convex.
Enable AI Agents to fix Playwright test failures reported to Currents.