Bidsketch 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 Bidsketch 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 Bidsketch. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Bidsketch?"
)
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 Bidsketch MCP Server
Connect your Bidsketch account to any AI agent and orchestrate your professional proposal workflows through natural conversation.
LlamaIndex agents combine Bidsketch 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 proposals to speed up your sales process.
- Client Oversight — Manage your client directory, including contact details and history.
- Template Discovery — Access and list your saved proposal templates for consistent document generation.
- Fee Auditing — List and verify the fees and line items associated with your proposals.
- User Profiles — Retrieve account and user information directly from your workspace.
The Bidsketch 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 Bidsketch to LlamaIndex via MCP
Follow these steps to integrate the Bidsketch 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 Bidsketch
Why Use LlamaIndex with the Bidsketch MCP Server
LlamaIndex provides unique advantages when paired with Bidsketch through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Bidsketch tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Bidsketch tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Bidsketch, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Bidsketch tools were called, what data was returned, and how it influenced the final answer
Bidsketch + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Bidsketch MCP Server delivers measurable value.
Hybrid search: combine Bidsketch real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Bidsketch 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 Bidsketch for fresh data
Analytical workflows: chain Bidsketch queries with LlamaIndex's data connectors to build multi-source analytical reports
Bidsketch MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Bidsketch to LlamaIndex via MCP:
create_client
Create a new client
create_proposal
Create a new proposal
get_client
Get specific client details
get_proposal
Get specific proposal details
get_user_details
Get current user details
list_clients
List all clients
list_fees
List fees for a specific proposal
list_proposals
List all proposals
list_templates
List all proposal templates
update_proposal
Update an existing proposal
Example Prompts for Bidsketch in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Bidsketch immediately.
"List all active proposals in Bidsketch."
"Find the contact ID for 'Acme Corp'."
"Show my last 5 proposal templates."
Troubleshooting Bidsketch MCP Server with LlamaIndex
Common issues when connecting Bidsketch to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBidsketch + LlamaIndex FAQ
Common questions about integrating Bidsketch 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 Bidsketch 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 Bidsketch to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.