Carta 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 Carta 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 Carta. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Carta?"
)
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 Carta MCP Server
Connect Carta to your AI agent and manage your company's equity operations, stakeholder information, and compliance data conversationally.
LlamaIndex agents combine Carta 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
- Cap Table Queries — Retrieve your company's capitalization table including shares outstanding, share classes, and ownership percentages.
- Equity Grants — List active stock option grants, vesting schedules, exercise windows, and grant statuses.
- 409A Valuations — Access your latest 409A valuation data and fair market values for compliance reporting.
- Stakeholder Directory — Query your shareholder registry to find individual equity positions and contact details.
The Carta 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 Carta to LlamaIndex via MCP
Follow these steps to integrate the Carta 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 Carta
Why Use LlamaIndex with the Carta MCP Server
LlamaIndex provides unique advantages when paired with Carta through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Carta tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Carta tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Carta, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Carta tools were called, what data was returned, and how it influenced the final answer
Carta + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Carta MCP Server delivers measurable value.
Hybrid search: combine Carta real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Carta 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 Carta for fresh data
Analytical workflows: chain Carta queries with LlamaIndex's data connectors to build multi-source analytical reports
Carta MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Carta to LlamaIndex via MCP:
get_cap_table
Get the full cap table
get_company
Get company details
list_companies
List all companies
list_convertibles
List convertible notes and SAFEs
list_funding_rounds
List funding rounds
list_option_plans
List stock option plans
list_securities
List all securities
list_share_classes
with liquidation preferences and conversion rights. List share classes
list_stakeholders
List all stakeholders
list_valuations
List 409A valuations
Example Prompts for Carta in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Carta immediately.
"Show me our current cap table summary."
"What's our latest 409A valuation?"
"How many shares has João Paulo vested so far?"
Troubleshooting Carta MCP Server with LlamaIndex
Common issues when connecting Carta to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCarta + LlamaIndex FAQ
Common questions about integrating Carta 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 Carta 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 Carta to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
