Scoro MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Scoro 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 Scoro. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Scoro?"
)
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 Scoro MCP Server
Connect your Scoro workspace to any AI agent to interact with your business operations securely. Avoid context-switching between your agency's CRM, PM software, and billing dashboards.
LlamaIndex agents combine Scoro tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Project & Task Tracking — Query your entire project portfolio, check on ongoing task statuses, and extract time entries logged by the team
- CRM & Contacts — Retrieve details, metadata, and history for any client or vendor in your database
- Financial Health — List sales invoices, pending quotes, and registered business expenses to track profitability without running manual reports
- Team Management — Consult your user roster, pull recent activity audit logs, and browse team calendar events directly within your chat environment
The Scoro MCP Server exposes 12 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 Scoro to LlamaIndex via MCP
Follow these steps to integrate the Scoro 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 12 tools from Scoro
Why Use LlamaIndex with the Scoro MCP Server
LlamaIndex provides unique advantages when paired with Scoro through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Scoro tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Scoro tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Scoro, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Scoro tools were called, what data was returned, and how it influenced the final answer
Scoro + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Scoro MCP Server delivers measurable value.
Hybrid search: combine Scoro real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Scoro 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 Scoro for fresh data
Analytical workflows: chain Scoro queries with LlamaIndex's data connectors to build multi-source analytical reports
Scoro MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Scoro to LlamaIndex via MCP:
get_contact
Retrieves details for a specific contact
list_activities
Lists recent activities and audit logs
list_calendar_events
Lists all events on the Scoro calendar
list_contacts
Lists all contacts (companies and people) in Scoro
list_expenses
Lists all business expenses
list_invoices
Lists all sales invoices
list_products
Lists all products and services in the catalog
list_projects
Lists all projects in Scoro
list_quotes
Lists all sales quotes
list_tasks
Lists all tasks
list_time_entries
Lists time entries logged by the team
list_users
Lists all users in the Scoro organization
Example Prompts for Scoro in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Scoro immediately.
"What are the most recent activities logged in my Scoro workspace?"
"List all active marketing projects and their statuses."
"Show me our total revenue from the latest invoices."
Troubleshooting Scoro MCP Server with LlamaIndex
Common issues when connecting Scoro to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpScoro + LlamaIndex FAQ
Common questions about integrating Scoro 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 Scoro 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 Scoro to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.