How to Use the Clearstory MCP in CrewAI
Deploy autonomous agent crews to monitor Clearstory change orders using the Clearstory MCP Server and CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Clearstory MCP to CrewAI
Create your Vinkius account to connect Clearstory to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Assign CrewAI agents to construction oversight
Managing a massive job site requires constant vigilance from a dedicated researcher agent that runs `list_construction_projects` to map out active builds. This initial scout gathers the landscape and passes the raw IDs to specialized team members. That researcher passes the baton to a financial analyst agent. The analyst fires off `get_project_construction_details` and builds a daily briefing on budget variances without a human lifting a finger.
Audit T&M tags against contracts autonomously
Rogue labor entries destroy project margins until a compliance agent continuously pulls `list_tm_tags` from the field to match them against approved agreements. The crew acts as a tireless auditor that never misses a mismatched hour. When it needs verification, the agent calls `list_project_contracts`. If a tag lacks a matching contract, the moderator agent escalates the issue to the project manager immediately.
Track change orders with this MCP Server
Waiting for end-of-month reviews means you spot cost overruns too late, but your crew can execute `list_change_order_requests` every hour to catch pending CORs instantly. You get eyes on the financial requests the second they are filed. For high-value changes, the crew digs deeper. A specialized agent triggers `get_cor_details` and compares the requested amounts against `list_construction_rates` to ensure contractors aren't inflating equipment costs.
Set up Clearstory MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Clearstory tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Clearstory Analyst",
goal="Access and analyze Clearstory data via MCP.",
backstory="Expert analyst with direct Clearstory access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Clearstory transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Clearstory Analyst",
goal="Access and analyze Clearstory data via MCP.",
backstory="Expert analyst with direct Clearstory access.",
tools=mcp_tools,
)
task = Task(
description="List recent Clearstory transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clearstory. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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60%
lower AI costs
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Common questions about Clearstory MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Clearstory MCP today
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