Pydantic AISDK

Why use Gatling MCP Server with Pydantic AI?

Bring Load Testing
to Pydantic AI

Name: Gatling MCP Server
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Create your Vinkius account to connect Gatling to Pydantic AI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

GDPR Free for Subscribers

Abort SimulationGet RunGet SimulationList PackagesList PoolsList RunsList SimulationsList TeamsList TokensStart Simulation

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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

How it works

Subscribe to this server
Enter your Gatling Enterprise API Token (found in Settings > API Tokens)
Start managing your load testing from Claude, Cursor, or any MCP-compatible client

Who is this for?

Performance & QA Engineers — trigger load tests and monitor simulation results without manual dashboard checks
SRE & DevOps Teams — audit team quotas and verify load generator pool capacity using natural language
Developers — test and debug performance scenario configurations and verify request stats in real-time
Ops Managers — monitor virtual user peaks and credit consumption through the chat interface

Built-in capabilities (10)

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

See what your AI agent can do with Gatling

Why Pydantic AI?

Pydantic AI validates every Gatling tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Gatling integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Gatling connection logic from agent behavior for testable, maintainable code

See it in action

Gatling in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Enterprise Security

Why run Gatling with Vinkius?

The Gatling connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

View full Gatling details →

Fully ManagedNo server setup

Plug & PlayNo coding needed

SecurePrivacy protected

PrivateYour data is safe

Cost ControlBudget limits

Control1-click disconnect

Auto-UpdatesMaintenance free

High SpeedOptimized for AI

Reliable99.9% uptime

Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents

Complete visibility into every agent action

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Gatling using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Explore Analytics

Why Vinkius

Gatling and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Gatling to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations

<40msResponse time

100%Fully managed

	Raw MCP	Vinkius
Ready-to-use MCPs	Find and configure each manually	4,000+ MCPs ready to use
Connection Setup	Manual coding & server setup	1-click instant connection
Server Hosting	You host it yourself (needs 24/7 uptime)	100% hosted & managed by Vinkius
Security & Privacy	Stored in plaintext config files	Bank-grade encrypted vault
Activity Visibility	Blind execution (no logs or tracking)	Live dashboard with real-time logs
Cost Control	Runaway AI token spend risk	Automatic budget limits
Revoking Access	Must delete files or code to stop	1-click disconnect button

View step-by-step setup guide for Pydantic AI →

The Vinkius Advantage

How Vinkius secures
Gatling for Pydantic AI

Every request between Pydantic AI and Gatling is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can my agent start a Gatling simulation run via chat?

Yes. Use the 'start_simulation' tool with the specific Simulation ID. The agent will command the Gatling Enterprise infrastructure to begin the load test and return a unique run ID for tracking.

How do I check the request statistics for a completed test run via chat?

Use the 'get_run' tool. Provide the Run ID. Your agent will fetch the full details of the execution, including request stats, error counts, and the virtual user peak reached during the test.

Can I see my credit quotas and team member counts through the agent?

Absolutely. Use the 'list_teams' tool. Your agent will enumerate the teams registered in your Gatling Enterprise account and monitor their member counts and available credit quotas natively.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Gatling MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.