GUIDEcx 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 GUIDEcx 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 GUIDEcx. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in GUIDEcx?"
)
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 GUIDEcx MCP Server
Connect your GUIDEcx customer onboarding platform to any AI agent and streamline your implementation workflows through natural conversation.
LlamaIndex agents combine GUIDEcx 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 Management — List all onboarding projects, create new implementations, and retrieve detailed status updates.
- Task Execution — List tasks across your portfolio, update statuses, and dive into specific task requirements.
- Team Coordination — Access lists of users and stakeholders assigned to projects to ensure alignment.
- Time Tracking — Log minutes spent on implementation tasks and retrieve time records for reporting.
- Operational Efficiency — Use AI to identify overdue tasks or projects that need immediate attention across your entire organization.
The GUIDEcx 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 GUIDEcx to LlamaIndex via MCP
Follow these steps to integrate the GUIDEcx 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 GUIDEcx
Why Use LlamaIndex with the GUIDEcx MCP Server
LlamaIndex provides unique advantages when paired with GUIDEcx through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine GUIDEcx tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain GUIDEcx tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query GUIDEcx, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what GUIDEcx tools were called, what data was returned, and how it influenced the final answer
GUIDEcx + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the GUIDEcx MCP Server delivers measurable value.
Hybrid search: combine GUIDEcx real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query GUIDEcx 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 GUIDEcx for fresh data
Analytical workflows: chain GUIDEcx queries with LlamaIndex's data connectors to build multi-source analytical reports
GUIDEcx MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect GUIDEcx to LlamaIndex via MCP:
create_project
Create a new onboarding project
create_time_record
Log time against a specific task or project
get_project
Get detailed information about a specific project
get_task
Get details for a specific GUIDEcx task
list_project_users
List stakeholders and users assigned to a specific project
list_projects
List all customer onboarding projects in GUIDEcx
list_tasks
List tasks across projects
list_time_records
List all tracked time records
list_users
List internal organization users
update_task
Update an existing task status or details
Example Prompts for GUIDEcx in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with GUIDEcx immediately.
"List all my active onboarding projects."
"Log 45 minutes for task ID 99283."
"Show me the stakeholders for the Acme Corp project."
Troubleshooting GUIDEcx MCP Server with LlamaIndex
Common issues when connecting GUIDEcx to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGUIDEcx + LlamaIndex FAQ
Common questions about integrating GUIDEcx 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 GUIDEcx 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 GUIDEcx to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.