Testim MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Testim through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"testim": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Testim, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Testim MCP Server
Connect your Testim project to any AI agent and bring your automated end-to-end testing orchestration directly into your workflow via natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Testim through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Automated AI Tests — Browse your entire test suite, retrieve detailed test steps, and manually trigger specific tests or entire scheduled plans
- Suite & Label Runs — Execute dynamic batches by triggering runs associated with specific labels or grouped within precise test suites
- Execution Diagnostics — Pull pass/fail statuses, trace errors, and review specific execution logs immediately after a deployment
- Branch Management — Check parallel development efforts by listing, creating, and even merging automated test branches without opening the Testim GUI
The Testim MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Testim to LangChain via MCP
Follow these steps to integrate the Testim MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Testim via MCP
Why Use LangChain with the Testim MCP Server
LangChain provides unique advantages when paired with Testim through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Testim MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Testim queries for multi-turn workflows
Testim + LangChain Use Cases
Practical scenarios where LangChain combined with the Testim MCP Server delivers measurable value.
RAG with live data: combine Testim tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Testim, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Testim tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Testim tool call, measure latency, and optimize your agent's performance
Testim MCP Tools for LangChain (10)
These 10 tools become available when you connect Testim to LangChain via MCP:
create_project_branch
Creates a new test development branch
get_execution_results
Retrieves the status and results of a specific test execution
get_test_details
Retrieves full details for a specific Testim test
list_project_branches
Lists all parallel development branches in the project
list_tests
Lists all automated tests in the Testim project
merge_project_branch
Typically merges a feature branch into master. Merges test changes from one branch into another
run_specific_test
Optionally provide a branch name. Returns an execution ID. Triggers an immediate run for a specific test
run_test_plan
Triggers a run for a defined test plan
run_test_suite
Triggers a run for all tests in a specific suite
run_tests_by_label
Triggers a run for all tests matching a specific label
Example Prompts for Testim in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Testim immediately.
"List all branches available in my Testim project."
"Trigger a plan run for "Nightly-Regression"."
"Retrieve the execution diagnostic summary for ID EXC-999333."
Troubleshooting Testim MCP Server with LangChain
Common issues when connecting Testim to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTestim + LangChain FAQ
Common questions about integrating Testim MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Testim with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
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 Testim to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.