Clearstory 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 Clearstory 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 Clearstory. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Clearstory?"
)
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 Clearstory MCP Server
Connect your Clearstory account to any AI agent and take full control of your construction project financial data through natural conversation. Streamline how you manage Change Order Requests (CORs) and Time & Material (T&M) tags natively.
LlamaIndex agents combine Clearstory 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
- Project Oversight — List and retrieve details for all active and inactive construction projects natively
- COR Intelligence — Access and monitor Change Order Requests, including amounts and statuses flawlessly
- Tag Management — List and review digital Time & Material tags directly from the field securely
- Contract Auditing — Access contracts linked to specific change orders flawlessly
- Notification Logistics — List and review change notifications sent between customers and contractors flawlessly
- Rate Visibility — Monitor Labor, Material, Equipment, and Other (LMEO) rates for your projects directly within your workspace
The Clearstory 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 Clearstory to LlamaIndex via MCP
Follow these steps to integrate the Clearstory 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 Clearstory
Why Use LlamaIndex with the Clearstory MCP Server
LlamaIndex provides unique advantages when paired with Clearstory through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Clearstory tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Clearstory tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Clearstory, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Clearstory tools were called, what data was returned, and how it influenced the final answer
Clearstory + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Clearstory MCP Server delivers measurable value.
Hybrid search: combine Clearstory real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Clearstory 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 Clearstory for fresh data
Analytical workflows: chain Clearstory queries with LlamaIndex's data connectors to build multi-source analytical reports
Clearstory MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Clearstory to LlamaIndex via MCP:
get_cor_details
Get detailed information for a specific COR
get_project_construction_details
Get detailed information for a specific project
list_change_notifications
List change notifications sent between customers and contractors
list_change_order_requests
List all Change Order Requests (CORs)
list_construction_projects
List all construction projects in Clearstory
list_construction_rates
List Labor, Material, Equipment, and Other (LMEO) rates
list_project_contracts
List contracts linked to change orders
list_tm_tags
List digital Time & Material tags from the field
Example Prompts for Clearstory in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Clearstory immediately.
"List all active construction projects in Clearstory."
"Show me the last 5 Change Order Requests."
"What are the labor rates for the 'City Hospital' project?"
Troubleshooting Clearstory MCP Server with LlamaIndex
Common issues when connecting Clearstory to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClearstory + LlamaIndex FAQ
Common questions about integrating Clearstory 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 Clearstory 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 Clearstory to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.