Gatling MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Gatling through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Gatling and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"gatling": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Gatling MCP Server
Connect your Gatling Enterprise account to any AI agent and take full control of your performance testing and high-scale load simulation through natural conversation.
Windsurf's Cascade agent chains multiple Gatling tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Simulation Orchestration — List all Gatling simulations defining load scenarios and retrieve IDs, class names, and team associations natively
- Live Test Execution — Trigger new performance test runs on Gatling Enterprise infrastructure and retrieve unique run IDs flawlessly
- Test Run Monitoring — Track execution progress, statuses, and peak virtual user (VU) counts for ongoing or completed simulations synchronously
- Detailed Stats Retrieval — Access full run details including request statistics, error counts, and injection start/end times limitlessly
- Team & Quota Oversight — Enumerate teams registered in Gatling Enterprise and monitor member counts and credit quotas securely
- Artifact Management — List uploaded test packages and artifacts to verify versions and upload timestamps across your environment
- Resource Pool Auditing — Retrieve the list of load generator pools, identifying regions and instance counts to verify scaling capacity
- Autonomous Aborting — Stop all load generators for a running simulation immediately to manage system resources and prevent overruns
The Gatling MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Gatling to Windsurf via MCP
Follow these steps to integrate the Gatling MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Gatling
Open Cascade and ask: "Using Gatling, help me...". 10 tools available
Why Use Windsurf with the Gatling MCP Server
Windsurf provides unique advantages when paired with Gatling through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Gatling + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Gatling MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Gatling and generate models, types, or handlers based on real API responses
Live debugging: query Gatling tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Gatling and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Gatling data with Cascade's code generation to scaffold entire features in minutes
Gatling MCP Tools for Windsurf (10)
These 10 tools become available when you connect Gatling to Windsurf via MCP:
abort_simulation
Abort a running Gatling simulation
get_run
Get full details of a Gatling run
get_simulation
Get full details of a Gatling simulation
list_packages
List uploaded packages/artifacts on Gatling Enterprise
list_pools
List load generator pools on Gatling Enterprise
list_runs
List runs for a Gatling simulation
list_simulations
Simulations define load scenarios with VU populations. Returns names, IDs, class names, and team associations. List all simulations on Gatling Enterprise
list_teams
List teams on Gatling Enterprise
list_tokens
List API tokens on Gatling Enterprise
start_simulation
Returns run ID. Start a Gatling simulation run
Example Prompts for Gatling in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Gatling immediately.
"List all simulations on Gatling Enterprise"
"Start simulation 'abc-123'"
"Show me the stats for run 'run_xyz789'"
Troubleshooting Gatling MCP Server with Windsurf
Common issues when connecting Gatling to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Gatling + Windsurf FAQ
Common questions about integrating Gatling MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Gatling with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gatling to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
