Better Proposals 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 Better Proposals 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 Better Proposals. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Better Proposals?"
)
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 Better Proposals MCP Server
Connect your Better Proposals account to any AI agent and orchestrate your sales documents and proposal workflows through natural conversation.
LlamaIndex agents combine Better Proposals 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
- Proposal Management — List, retrieve, and create professional proposals to close deals faster.
- Contact & Company Oversight — Manage your CRM data, including contacts and companies, for targeted document delivery.
- Template Discovery — Access and list your saved proposal templates for consistent and fast document creation.
- Sales Analytics — Retrieve performance data and status updates for all your outgoing proposals.
- Account Integration — Verify user profiles and organization settings directly from your workspace.
The Better Proposals 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 Better Proposals to LlamaIndex via MCP
Follow these steps to integrate the Better Proposals 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 Better Proposals
Why Use LlamaIndex with the Better Proposals MCP Server
LlamaIndex provides unique advantages when paired with Better Proposals through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Better Proposals tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Better Proposals tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Better Proposals, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Better Proposals tools were called, what data was returned, and how it influenced the final answer
Better Proposals + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Better Proposals MCP Server delivers measurable value.
Hybrid search: combine Better Proposals real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Better Proposals 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 Better Proposals for fresh data
Analytical workflows: chain Better Proposals queries with LlamaIndex's data connectors to build multi-source analytical reports
Better Proposals MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Better Proposals to LlamaIndex via MCP:
create_contact
Create a new contact
create_proposal
Create a new proposal
get_analytics
Retrieve proposal analytics
get_company
Get specific company details
get_contact
Get specific contact details
get_proposal
Get specific proposal details
list_companies
List all companies
list_contacts
List all contacts
list_proposals
List all proposals
list_templates
List all proposal templates
Example Prompts for Better Proposals in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Better Proposals immediately.
"List all proposals currently waiting for signature."
"Create a new contact: John Doe, email john@example.com."
"Show me my last 5 proposal templates."
Troubleshooting Better Proposals MCP Server with LlamaIndex
Common issues when connecting Better Proposals to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBetter Proposals + LlamaIndex FAQ
Common questions about integrating Better Proposals 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 Better Proposals 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 Better Proposals to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.