Testim MCP. Orchestrate E2E Testing from Chat
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Testim MCP Server connects automated end-to-end testing orchestration directly into your agent's chat window. You can trigger full regression runs, inspect detailed execution logs, and manage development branches without opening the Testim UI or switching applications.
It brings complex QA workflows straight into your natural conversation.
What your AI agents can do
Create project branch
Creates a new, isolated development branch for testing features.
Get execution results
Retrieves the pass/fail status and detailed logs for a specific test run ID.
Get test details
Gets full technical details about one specific automated Testim script.
Triggers an entire predefined test suite or a scheduled regression plan for immediate execution.
Retrieves the pass/fail status, error logs, and specific failure details for any given test execution ID.
Shows all active parallel code lines (branches) in your Testim project so you know what's available to test.
Runs only the automated tests that match a certain label or retrieves full details for one single, known test script.
Allows you to programmatically create new development branches or merge feature work back into master.
Ask AI about this MCP
Supported MCP Clients
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Testim MCP Server: 10 Tools for Test Management
These tools let you trigger runs, check logs, list branches, and manage entire test cycles using natural language commands.
019d7611create project branch
Creates a new, isolated development branch for testing features.
019d7611get execution results
Retrieves the pass/fail status and detailed logs for a specific test run ID.
019d7611get test details
Gets full technical details about one specific automated Testim script.
019d7611list project branches
Shows a list of all parallel development branches currently active in the project.
019d7611list tests
Returns a catalog of every automated test script defined in the Testim project.
019d7611merge project branch
Merges changes from one feature branch into another target branch.
019d7611run specific test
Immediately triggers a run for a single, specified test script, optionally on a specific branch.
019d7611run test plan
Triggers an entire predefined test plan that combines multiple tests into one execution.
019d7611run test suite
Triggers a run for all automated tests grouped within a specified test suite.
019d7611run tests by label
Runs all tests that share one or more specific tags/labels, useful for targeted testing.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
Your AI client runs automated end-to-end testing straight from your chat window with the Testim MCP Server. You never have to open up the Testim UI or switch apps again; you just talk to your agent, and it handles complex QA workflows.
Managing Your Codebase and Branches
You control all parallel development lines in this server. You can see every active branch in your project using list_project_branches. Want a clean slate? You use create_project_branch to spin up a brand new, isolated testing environment for any feature you're working on. When the work is done and it passes tests, you merge those changes back into another target branch with merge_project_branch.
Running Specific Tests and Plans
You have total control over what gets tested. You can pull up a catalog of every single test script in your project using list_tests. If you only need to check one thing, you grab all the technical details for that specific script with get_test_details, or you use run_specific_test to immediately trigger it—you can even tell the server which branch it needs to run against.
You don't gotta run everything every time, though. If a bunch of tests share one common tag or label, you target them all up with run_tests_by_label. Need to check an entire area? You use run_test_suite to execute all the automated scripts grouped together in a set suite. For massive regression runs, you trigger a comprehensive test plan using run_test_plan, which combines multiple different tests into one big execution run.
Getting Diagnostics and Results
After any test runs, you get the data right back. You pull the pass/fail status, detailed error logs, and specific failure information for any given test execution ID using get_execution_results. This means if a build fails, your agent doesn't just say 'it failed'; it gives you the exact log snippet and the reason why.
It keeps your testing cycle moving fast because you don't wait for reports; you get structured results straight into your conversation.
How Testim MCP Works
- 1 Subscribe to the server and input your Testim Project ID and API Key.
- 2 Use a direct command in your AI client (e.g., 'Trigger the Nightly-Regression test plan').
- 3 The agent receives structured results, including execution IDs, status reports, or branch lists.
The bottom line is that you tell your agent what to test, and it handles the API calls for running, checking logs, and reporting back the result.
Who Is Testim MCP For?
The QA Engineer who gets tired of opening a dozen dashboards just to check one failure. The Frontend Developer needing instant feedback on their local feature branch without context switching. Or the Release Manager who needs to audit test health across multiple environments before giving the green light.
Triggers full regression suites via chat when a new environment is ready, and uses get_execution_results to drill down into failures.
Runs specific E2E test scripts right inside their IDE (like Cursor) against a local feature branch without leaving the coding context.
Audits the health of complex test plans and retrieves an execution ID to confirm stability before approving deployment.
What Changes When You Connect
- Eliminate context switching. You can trigger a full regression suite or check the status of an execution ID using
run_test_plan—all within your AI client, without opening a browser tab. - Gain immediate visibility into failure points. Instead of navigating complex logs, ask for diagnostics and get structured results using
get_execution_results, telling you exactly what failed (e.g., 'Element #checkout-btn not found'). - Manage code structure in conversation. Need to test a fix on a new line? Use
create_project_branchor check existing work withlist_project_branches. Then, run your tests and usemerge_project_branchwhen done. - Focus testing efforts precisely. Don't waste time running the whole suite if you only changed the login flow. Run targeted scripts using
run_specific_testor narrow down checks withrun_tests_by_label. - Audit test coverage quickly. You can review every available script via
list_tests, understand what needs testing, and then tell your agent to run a full suite usingrun_test_suite.
Real-World Use Cases
Reviewing a Pull Request (PR)
A dev finishes the checkout component. Instead of manually setting up a test environment, they ask their agent to 'Run run_specific_test on the new checkout script against the PR branch.' The agent runs it and reports back if any steps fail, giving instant feedback.
Nightly Build Health Check
The Release Manager needs to know if last night's build was solid. They prompt their agent: 'Trigger the Nightly-Regression test plan.' The agent calls run_test_plan, gets an ID, and later they use that ID with get_execution_results to confirm a clean pass/fail status.
Isolating Bug Fixes
A bug is reported only on the admin panel. The QA Engineer uses run_tests_by_label('admin-panel') to run only relevant tests, confirming that a fix applied in a new branch (create_project_branch) didn't break anything else.
Completing Feature Work
A developer completes feature X on an isolated branch. Before merging it into master, they ask the agent to run all relevant tests (run_test_suite). Once everything passes, they use merge_project_branch through the chat interface.
The Tradeoffs
Relying on GUI Dashboards
The developer has to click into the Testim web app, navigate to the correct branch dropdown, select 'Run Tests,' hit submit, and then copy the resulting ID—all before talking to their agent.
→
Just talk to your agent. Tell it: 'Run a full test suite on feature/my-new-stuff.' The server handles the entire sequence of actions using tools like run_test_suite.
Forgetting the Status Check
After running run_test_plan, the developer assumes success and moves on. They never follow up to check if the run actually finished or failed.
→
Always ask your agent to confirm the status immediately after triggering a large plan. Use get_execution_results with the returned ID to get definitive confirmation.
Testing without Context
Attempting to run tests against the main branch when you know the bug is fixed on your local feature branch.
→
Always start by listing branches (list_project_branches) and explicitly tell the agent which branch name or ID you want to test against, like 'Run specific tests on feature/login-v3.'
When It Fits, When It Doesn't
Use this server if your core need is validating UI interactions through automated end-to-end testing. If you need to confirm that a button works after a user clicks it—that's where this belongs. Don't use it, though, if your goal is pure unit testing (testing individual functions in isolation) or performance load testing (simulating thousands of users). For those cases, look for dedicated code analysis tools or specialized performance servers. This tool assumes you have a UI and need to prove the whole stack works together.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Testim. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Having to jump between your editor and the test dashboard is a massive time sink.
Right now, the process is painful. You write code in VS Code. When you're done, you have to switch tabs, log into Testim, find the right branch dropdown, select 'Run Plan,' click submit, and then wait for a dashboard notification before you can even talk about the results.
With this MCP server, you just tell your agent: 'Trigger the Nightly-Regression plan on `master`.' The whole sequence happens in chat. You get the execution ID and status report immediately—no tab switching required.
Testim MCP Server helps you manage branches and runs from chat.
Before this, checking parallel development meant navigating a complex GUI to list branches (`list_project_branches`). To test a fix, you’d manually create a branch, run the tests, and then try to merge it back—a multi-step process prone to human error.
Now, you talk to your agent. You ask it to 'Create a new feature branch for user profiles.' It handles the API call (`create_project_branch`). When done testing, you just tell it to `merge_project_branch` and finish.
Common Questions About Testim MCP
How do I run tests on my current feature branch using Testim MCP Server? +
You first list your branches with list_project_branches to confirm the name. Then, you instruct your agent to 'Run a test suite on [branch-name]' which uses the run_test_suite tool.
What if I need to know why a test failed using Testim MCP Server? +
You use get_execution_results. Just provide the execution ID you were given when the tests ran, and the agent pulls the detailed logs right into your chat.
Can I run only a couple of specific tests with Testim MCP Server? +
Yes. Use run_specific_test and provide the exact test name or ID you want to execute immediately.
Is Testim MCP Server better than just using the web UI for branching? +
For speed, yeah. The main difference is context switching. This server keeps all the branch management and testing logic inside your chat environment, making it faster to iterate.
What do I need to know about authentication when using Testim MCP Server? +
You must provide a valid API Key for Testim MCP Server. You pull this key from the Testim documentation and input it into your AI client's configuration. This credential gives your agent permission to execute tools like run_test_plan.
How do I list all available parallel development branches using list_project_branches? +
Run the list_project_branches tool. It immediately lists every active branch—default, feature, or bugfix—and provides their unique IDs. This is crucial for ensuring your subsequent runs hit the correct code base.
When should I use merge_project_branch with Testim MCP Server? +
Use merge_project_branch when you need to combine changes from one branch into another (e.g., feature into master). You must specify both the source and target branches for the tool to execute a successful merge.
Is there an efficient way to run multiple tests using Testim MCP Server? +
Yes, use run_tests_by_label. Instead of listing and running every test individually, this tool triggers all automated tests that match a specific label. It's the most efficient way to run targeted, grouped regression checks.
Can my AI agent actually trigger test runs remotely? +
Yes! You can ask your agent to list your available tests, pick an ID, and say 'Run this sequence'. Testim's dynamic runner architecture handles the load while your AI returns the execution ID for you to track.
How can it help me troubleshoot a failed test run? +
Typically, you'd open the Testim dashboard, navigate to the specific test suite run, and read the logs. With this integration, you just instruct the agent to retrieve results for that specific Execution ID; it will summarize error strings immediately in markdown.
Can I merge test changes through the agent? +
Absolutely. Because Testim supports branching, your agent can act as a command terminal. Ask to list branches, select a recently updated feature branch, and say 'Merge branch feature-login into master'.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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