Testim MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Testim as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Testim. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Testim?"
)
print(response)
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.
LlamaIndex agents combine Testim tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Testim MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Testim
Why Use LlamaIndex with the Testim MCP Server
LlamaIndex provides unique advantages when paired with Testim through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Testim tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Testim tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Testim, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Testim tools were called, what data was returned, and how it influenced the final answer
Testim + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Testim MCP Server delivers measurable value.
Hybrid search: combine Testim real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Testim to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Testim for fresh data
Analytical workflows: chain Testim queries with LlamaIndex's data connectors to build multi-source analytical reports
Testim MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Testim to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Testim to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTestim + LlamaIndex FAQ
Common questions about integrating Testim MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.