TestLink 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 TestLink as an MCP tool provider through the 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 TestLink. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in TestLink?"
)
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 TestLink MCP Server
Connect your TestLink self-hosted environment to any AI agent and bring your classic test management structure seamlessly into your modern AI workflow via natural language.
LlamaIndex agents combine TestLink tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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
- Project & Plan Scoping — Retrieve all test projects, query their active states, and list all comprehensive test plans linked to them
- Suite Navigation — Browse the hierarchical folder tree of Test Suites mapping your organizational test coverage
- Test Cases Verification — Dive deep into individual test cases to read manual steps, expected results, priorities, and preconditions without navigating the legacy UI
- Build Tracking — Inspect active software builds allocated within any specific test plan to confirm QA target versions
- Environment Sanity — Check the agent’s connection and user mapping via the native whoami interrogation
The TestLink 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 TestLink to LlamaIndex via MCP
Follow these steps to integrate the TestLink 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 TestLink
Why Use LlamaIndex with the TestLink MCP Server
LlamaIndex provides unique advantages when paired with TestLink through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine TestLink tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain TestLink tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query TestLink, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what TestLink tools were called, what data was returned, and how it influenced the final answer
TestLink + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the TestLink MCP Server delivers measurable value.
Hybrid search: combine TestLink real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query TestLink 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 TestLink for fresh data
Analytical workflows: chain TestLink queries with LlamaIndex's data connectors to build multi-source analytical reports
TestLink MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect TestLink to LlamaIndex via MCP:
get_test_case_details
Retrieves full details for a specific test case
get_test_plan_details
Retrieves details for a specific test plan
get_test_project_details
Retrieves details for a specific TestLink test project
get_test_suite_details
Retrieves details for a specific test suite
get_user_info
Retrieves information about the authenticated TestLink user
list_test_builds
Lists all builds available for a specific test plan
list_test_cases
Lists all test cases within a specific test suite
list_test_plans
Requires a project ID. Lists all test plans associated with a specific project
list_test_projects
Lists all test projects available on the TestLink server
list_test_suites
Lists all test suites within a specific test project
Example Prompts for TestLink in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with TestLink immediately.
"Find out if the server is working and tell me who I am authenticated as."
"Give me the step-by-step definition for Test Case ID 5440."
"List all active test plans for Project ID 2."
Troubleshooting TestLink MCP Server with LlamaIndex
Common issues when connecting TestLink to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpTestLink + LlamaIndex FAQ
Common questions about integrating TestLink 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 TestLink 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 TestLink to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.