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 Pydantic AI 8 tools — connect in under 2 minutes

Name: Clearstory
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Clearstory through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Clearstory "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Clearstory?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Clearstory tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Clearstory MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Clearstory MCP Server

Pydantic AI provides unique advantages when paired with Clearstory through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Clearstory integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Clearstory connection logic from agent behavior for testable, maintainable code

Clearstory + Pydantic AI Use Cases

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

Type-safe data pipelines: query Clearstory with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Clearstory tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Clearstory and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Clearstory responses and write comprehensive agent tests

Clearstory MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Clearstory to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Clearstory + Pydantic AI FAQ

Common questions about integrating Clearstory MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Clearstory MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.