Loopio MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Loopio as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Loopio. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Loopio?"
)
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 Loopio MCP Server
Connect your Loopio RFP management platform to your AI agent to transform proposal workflows into intelligent, conversational processes.
LlamaIndex agents combine Loopio tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Browse Projects — List all your active RFPs, RFIs, and security questionnaires. Check progress, due dates, and completion status at a glance.
- Search the Knowledge Library — Query your master library of pre-approved answers. Find exactly what you need before drafting new responses.
- Review Questionnaire Responses — Fetch individual questions and their current answers from any project. Track what has been answered and what still needs attention.
- Create New Submissions — Spin up new RFP projects instantly with name, deadline, company context, and owner assignment.
- Manage Teams — List team members to identify who is available for project assignments and collaboration.
The Loopio MCP Server exposes 8 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 Loopio to LlamaIndex via MCP
Follow these steps to integrate the Loopio 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 8 tools from Loopio
Why Use LlamaIndex with the Loopio MCP Server
LlamaIndex provides unique advantages when paired with Loopio through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Loopio tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Loopio tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Loopio, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Loopio tools were called, what data was returned, and how it influenced the final answer
Loopio + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Loopio MCP Server delivers measurable value.
Hybrid search: combine Loopio real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Loopio 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 Loopio for fresh data
Analytical workflows: chain Loopio queries with LlamaIndex's data connectors to build multi-source analytical reports
Loopio MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Loopio to LlamaIndex via MCP:
create_submission
Requires a project name. Optionally accepts a description, company name, due date, project type, and owner ID. The project will be created in "Not Started" status and ready for team collaboration. Create a new RFP project/submission in Loopio
get_project
Use this to check the state of a specific RFP response. Get details of a specific Loopio project by ID
get_questionnaire_responses
If no entryId is provided, returns all entries and their current responses. Use this to review what answers have been drafted or finalized for RFP questions. Get responses for a specific questionnaire entry or all entries in a project
list_libraries
Each stack contains approved Q&A entries organized by category. Use this to discover which knowledge bases are available for searching. List all library stacks available in Loopio
list_projects
Each project represents an active RFP response or questionnaire. Use this to discover all ongoing and recent response initiatives. Optionally limit results with the limit parameter. List all Loopio projects (RFPs, RFIs, questionnaires) in your workspace
list_questionnaires
Each entry represents a question from an RFP, RFI, or security questionnaire that needs to be answered. Use this to understand the scope of a project and track which questions have been answered. List all questionnaire entries (questions) for a specific Loopio project
list_team_members
Use this to identify who is assigned to projects, find user IDs for assigning project ownership, or understand team composition. List all team members in your Loopio workspace
search_library
This is the primary way to find existing approved responses before drafting new answers. You can refine results with optional filters like tags, category, stack, and whether to search in questions or answers. Always use this before creating new library entries. Search the Loopio knowledge library for approved Q&A entries
Example Prompts for Loopio in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Loopio immediately.
"Search the Loopio library for our approved response about SOC 2 compliance."
"Create a new RFP project called 'Acme Corp Security Assessment' with a deadline of March 15th."
"Show me all open RFP projects and their completion percentage."
Troubleshooting Loopio MCP Server with LlamaIndex
Common issues when connecting Loopio to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLoopio + LlamaIndex FAQ
Common questions about integrating Loopio 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 Loopio 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 Loopio to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.