GatherUp MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GatherUp through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 GatherUp "
"(12 tools)."
),
)
result = await agent.run(
"What tools are available in GatherUp?"
)
print(result.data)
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 GatherUp MCP Server
Connect your GatherUp account to any AI agent to automate your review management and customer feedback workflows through the Model Context Protocol (MCP). GatherUp is a powerful platform that helps businesses monitor reputation, collect 1st-party feedback, and showcase 3rd-party reviews from sites like Google and Facebook. This MCP server enables you to track review streams, reply to customers, and trigger automated review requests directly through natural conversation.
Pydantic AI validates every GatherUp tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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.
Key Features
- Business Unit Oversight — List all business locations and retrieve high-level configuration metadata for each unit.
- Feedback Management — Access and retrieve first-party feedback left directly by customers via your GatherUp surveys.
- Online Review Tracking — Monitor third-party reviews from Google, Facebook, Yelp, and more in a centralized feed.
- Real-time Interaction — Send replies to both internal feedback and supported external reviews directly from your chat interface.
- Review Request Automation — Trigger new review invites (email/SMS) to specific customers to boost your reputation.
- Contact Management — Add and sync customer profiles to specific business locations programmatically.
- Reputation Metrics — Fetch high-level statistics and sentiment analysis for any business location instantly.
- API Health Monitoring — Verify your connection to the GatherUp v2 API environment seamlessly.
The GatherUp MCP Server exposes 12 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 GatherUp to Pydantic AI via MCP
Follow these steps to integrate the GatherUp 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 12 tools from GatherUp with type-safe schemas
Why Use Pydantic AI with the GatherUp MCP Server
Pydantic AI provides unique advantages when paired with GatherUp 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 GatherUp integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your GatherUp connection logic from agent behavior for testable, maintainable code
GatherUp + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the GatherUp MCP Server delivers measurable value.
Type-safe data pipelines: query GatherUp with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple GatherUp tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query GatherUp and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock GatherUp responses and write comprehensive agent tests
GatherUp MCP Tools for Pydantic AI (12)
These 12 tools become available when you connect GatherUp to Pydantic AI via MCP:
add_new_customer
Sync a customer
get_account_info
Get user identity
get_review_metrics
Get location stats
list_business_locations
List business units
list_customer_contacts
List customers
list_internal_feedback
List direct feedback
list_online_reviews
List external reviews
reply_to_feedback
Reply to internal feedback
reply_to_online_review
g. Google or Facebook). Reply to external review
search_all_reviews
Search all feedback
send_review_invite
Request a review
verify_api_connection
Check connection
Example Prompts for GatherUp in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with GatherUp immediately.
"List all my business locations in GatherUp."
"Show me the 5 most recent Google reviews for 'Downtown Cafe' (ID: biz_123)."
"Send a review request to customer 'John Doe' (ID: cust_987)."
Troubleshooting GatherUp MCP Server with Pydantic AI
Common issues when connecting GatherUp to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGatherUp + Pydantic AI FAQ
Common questions about integrating GatherUp MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect GatherUp 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 GatherUp to Pydantic AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.