Can I see the total amount of outstanding CORs for a project?

Yes! Use the `list_change_order_requests` tool. The agent will return all CORs, and you can ask it to calculate or filter for the total value of those in 'Pending' or 'Under Review' status.

How do I check the latest T&M tags from the field through the agent?

Use the `list_tm_tags` tool. Your agent will fetch the most recent digital Time & Material tags, allowing you to review labor hours and material usage without opening the web app.

Where do I find my Clearstory API Key?

Log in to Clearstory, navigate to **Settings > Offices**, select your office, and go to the **Integrations** tab. You can generate and copy your API key from there.

Clearstory MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Clearstory
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Clearstory through Vinkius, pass the Edge URL in the `mcps` parameter and every Clearstory tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Clearstory Specialist",
    goal="Help users interact with Clearstory effectively",
    backstory=(
        "You are an expert at leveraging Clearstory tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Clearstory "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Clearstory becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Clearstory tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Clearstory MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Clearstory

Why Use CrewAI with the Clearstory MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Clearstory through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Clearstory + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Clearstory MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Clearstory for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Clearstory, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Clearstory tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Clearstory against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Clearstory MCP Tools for CrewAI (8)

These 8 tools become available when you connect Clearstory to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Clearstory to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Clearstory + CrewAI FAQ

Common questions about integrating Clearstory MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.