OneLocal LocalReviews MCP. Manage online reputation from chat, not dashboards.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
OneLocal LocalReviews manages your online reputation through automated review collection, monitoring, and response management. This MCP Server connects any AI client to your OneLocal account, letting you programmatically list reviews, track star ratings, monitor sentiment metadata, and run campaign requests—all from natural conversation.
What your AI agents can do
Check onelocal status
Verifies if the OneLocal API connection is active and operational.
Get campaign
Retrieves specific details for one running review campaign.
Get location
Gets general information about a physical business location.
Gets a summary of your current rating across multiple platforms using the get_reputation tool.
Pulls specific review data, including sentiment and star ratings, by calling list_reviews or get_review.
Sends automated review request emails to a specified contact using the request_review tool.
Checks details and status for ongoing feedback campaigns with get_campaign or list_campaigns.
Verifies that the OneLocal service is connected and running correctly using check_onelocal_status.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 CompatibleWaiting for input…
OneLocal LocalReviews MCP Server: 10 Tools for Reputation Ops
Use these tools to programmatically manage all aspects of your online reputation—from listing reviews to running full campaign requests.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using OneLocal LocalReviews on Vinkius019dd131check onelocal status
Verifies if the OneLocal API connection is active and operational.
019dd131get campaign
Retrieves specific details for one running review campaign.
019dd131get location
Gets general information about a physical business location.
019dd131get reputation
Provides an overview of your current reputation score and overall rating metrics.
019dd131get review
Retrieves the full details for a single, specific customer review.
019dd131list campaigns
Lists all active and past review campaigns you've set up in OneLocal.
019dd131list locations
Returns a list of all locations associated with your account.
019dd131list referrals
Lists records related to customer referrals and tracking data.
019dd131list reviews
Retrieves a comprehensive list of all received customer reviews, often with filtering options.
019dd131request review
Sends an automated review request email to a specified person or contact.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with OneLocal LocalReviews, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by OneLocal LocalReviews. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Managing online reviews shouldn't feel like detective work.
Right now, running a simple reputation check means logging into OneLocal, then maybe going to Google My Business, and finally opening your internal dashboard. You copy the star rating from one tab, paste it into a spreadsheet, and manually cross-reference dates and sentiment scores before you can even start writing a response. It's slow, fragmented, and prone to human error.
With this MCP server, you just ask your agent: 'What's my reputation score across all platforms?' You get the combined answer instantly. The AI handles the logging into OneLocal, pulls the data using `get_reputation`, and gives you a single, clean metric. That's how it should work.
OneLocal LocalReviews MCP Server: Orchestrate Review Data
Manually listing reviews involves clicking through endless pages, trying to remember which location the review belongs to, and then figuring out if that review was part of a paid campaign. It's an archaeological dig just to get basic metrics.
Now, you can ask your agent to 'List all 5-star reviews for my downtown branch from last month.' The system uses `list_reviews` combined with location filtering and date ranges to pull only the data points you actually need. No scrolling, no guessing. Just facts.
What you can do with this MCP connector
You connect your OneLocal LocalReviews account to any AI client, and suddenly you've got full control over how you manage your business reputation. Your agent handles all the messy parts of review collection, monitoring, and responding—all through plain conversation. It’s about taking away the manual work so you can just focus on what you do best.
Here's what you get when you hook up this server:
Checking the System Status: You don't have to worry if anything is broken. If you run check_onelocal_status, your agent verifies right away whether the OneLocal API connection is active and running smoothly. That way, you always know the service isn't down or acting up.
Monitoring Your Reputation: Want a quick read on how things are going? You can use get_reputation to get an instant overview of your current reputation score and overall rating metrics across multiple platforms. It tells you where you stand right now, period.
Handling Reviews (The Details): Need deep info on specific feedback? You've got two ways to pull reviews. First, if you want a massive dump—a full list with filtering options for all the customer comments—you call list_reviews. Better yet, if you know exactly which review you need, you use get_review to retrieve all the details for just that one customer's feedback, including their sentiment and star ratings.
You can also pull a complete summary of every single customer comment using list_reviews, giving you a full picture.
Tracking Campaign Efforts: When it comes to asking customers for reviews, your agent keeps tabs on everything. If you want to see all the campaigns—past ones or active efforts—you use list_campaigns. Need specifics on one running campaign? Just call get_campaign and you'll get every detail about that single effort. You can also check out list_locations to pull a list of every physical business location tied to your account, making sure you know what scope you’re working within.
Initiating Action: Ready to ask for some feedback? The request_review tool sends an automated review request email straight to the specific person or contact you name. It handles that whole communication loop for you.
Getting Contextual Data: Sometimes, you need background info to make sense of a review. You can use get_location to grab general information about any physical business location on file. If you're tracking who sent the referrals or just want an audit trail of customer connections, list_referrals returns those specific records and tracking data points.
The Bottom Line: Essentially, your AI client lets you manage everything—from checking if the API is live to getting a list of every single review ever submitted—without having to copy/paste or click through a dozen websites. It puts all that complex backend management into simple, direct conversation.
019dd131-a4d4-73e8-8566-e8dbe8a1be27 How OneLocal LocalReviews MCP Works
- 1 Subscribe to this server and retrieve your API Key from your OneLocal dashboard (Settings > API).
- 2 Connect the key credentials to Claude, Cursor, or any MCP client. Your agent now has direct access to all local reviews data.
- 3 Tell your AI client what you need—for example, 'List all 5-star reviews from last month.' The agent executes the specific tool call and delivers the results.
The bottom line is: You talk naturally to your agent; it handles the complex API calls and brings back structured data instantly.
Who Is OneLocal LocalReviews MCP For?
Business Owners who hate manually checking review dashboards. Marketing Managers stuck copying metrics from spreadsheets. Operations teams needing a single source of truth for reputation health. This is for anyone whose job depends on knowing exactly what people are saying about their business, right now.
You use this to instantly get review summaries and monitor your overall reputation score without leaving your main workflow.
You verify individual review metadata, track the results of campaigns using list_campaigns, and ensure consistent messaging across all platforms.
You use this to build automated workflows that check API status (check_onelocal_status) and handle review data retrieval for reporting tools.
What Changes When You Connect
- Automate review collection and response monitoring. Instead of manually following up on every piece of feedback, your agent can use
request_reviewto send out targeted requests while simultaneously tracking the results vialist_reviews. - Get a real-time reputation overview instantly. The
get_reputationtool gives you quantifiable metrics—like average star ratings and trend data—so you don't have to compile it from three different dashboards. - Stop guessing about system health. Use
check_onelocal_statusbefore running any major campaign. It confirms that the API connection is live, preventing costly workflow failures down the line. - Process complex location and campaign data efficiently. Need to know which reviews belong to a specific branch? First use
list_locations, then filter your search usingget_locationdetails in conjunction withlist_reviews. - Maintain perfect audit trails. The ability to retrieve customer identifiers and response history means you always have the context needed for compliance or dispute resolution, without digging through multiple systems.
Real-World Use Cases
Quarterly Reputation Audit
The owner needs a quick snapshot of how their brand is doing. They ask the agent to 'Show my overall reputation score for Q2.' The agent runs get_reputation, pulling combined metrics from multiple platforms, and delivering a clear trend line without leaving the chat interface.
Handling Negative Feedback Spikes
A competitor just posted something negative. The marketing manager asks the agent to 'List all reviews mentioning service issues.' The agent uses list_reviews and filters by keywords, giving the manager a prioritized list of specific complaints that need immediate human attention.
Scaling Client Acquisition
The operations team just signed three new franchises. They ask the agent to 'List all locations for our new network.' The agent runs list_locations, providing a clean, centralized list of every physical site that needs its own review monitoring setup.
Targeted Review Campaign Launch
The manager wants reviews from recent clients. They ask the agent to 'Send a review request to our top 50 customers.' The agent uses list_referrals to identify contacts, then runs request_review in batches, and tracks the resulting campaign using get_campaign.
The Tradeoffs
Calling every single endpoint
Trying to solve a simple problem by running 10 separate API calls (e.g., calling list_locations, then passing the IDs into get_review for each one). This is slow, expensive, and hard to manage.
→
Group your calls logically. Start with get_reputation for an overview, or use a single query like 'List all reviews in the North End.' Let the agent handle the sequencing of API calls so you only get the final answer.
Confusing listing vs. detail
Asking the system to retrieve a review using general search terms, which results in ambiguous data because it can't tell if you mean 'the list of reviews' or 'a specific review.'
→
Be explicit: Use list_reviews when you need bulk data (e.g., 'Show me all my reviews from last week'). Use get_review only when you know the exact review ID.
Ignoring system status
Relying on a critical workflow, like launching 100 review requests, without checking if the API is down. The whole process fails silently until an employee notices.
→
Always run check_onelocal_status first. It guarantees that your connection to OneLocal is live before you execute any high-volume tasks.
When It Fits, When It Doesn't
Use this server if your primary pain point involves managing customer feedback and reputation across multiple locations or campaigns. Specifically, use it when you need to read data—whether that's running list_reviews for a bulk report, checking the current average score with get_reputation, or verifying system uptime via check_onelocal_status.
Don't use this if your goal is pure transaction management (e.g., processing payments) or real-time chat support responses that don't require external data lookup. If you simply need to send a single, non-tracked message to one person, an email service might be cleaner. However, if the action involves tracking that message (like sending and tracking a review link), this tool is necessary because of request_review.
The key distinction: This server excels at data aggregation and campaign monitoring. You're buying centralized oversight, not just single-action execution.
Common Questions About OneLocal LocalReviews MCP
How do I check if my OneLocal API key is working? +
Run the check_onelocal_status tool. This instantly verifies your connectivity to the platform, letting you know whether your credentials are set up correctly before running any other commands.
What's the difference between list_reviews and get_review? +
list_reviews pulls a bulk list of multiple reviews, often filtered by date or rating. Use get_review only when you know the exact ID of one specific review you need details on.
Can I use OneLocal LocalReviews MCP Server to send out more requests? +
Yes. The request_review tool sends automated follow-up links to customers, and the system tracks these actions so you can monitor the campaign progress using get_campaign.
How do I find all my business locations? +
Use the list_locations tool. This returns a complete list of every location connected to your account, which is essential before you try to analyze reviews for a specific branch.
When I use the `get_review` tool, what kind of detailed metadata can my agent retrieve? +
It retrieves structured data beyond just the text. You get star ratings, timestamps, the review source (e.g., Google/Yelp), and sentiment scores. This rich metadata is essential for building a precise audit trail in your workflow.
Using `list_campaigns`, how do I verify which feedback campaigns are active? +
It returns a list of all existing campaign IDs and their current status. You can check the start date, target group, and if the request pipeline is currently running or paused. This helps you coordinate your outreach efforts.
How does `list_referrals` help me track customer sources that aren't reviews? +
This tool pulls a list of all successful referrals, not just feedback. You get the referring customer ID and the date they signed up. It lets you track growth sources separate from your general review collection.
If I run many requests, how does `get_reputation` handle API rate limits? +
The server adheres to standard API rate limiting protocols. If you exceed the allowed calls per minute, your agent will receive a specific error code (HTTP 429). You'll need to build in a delay or switch to batch processing for high-volume data pulls.
How do I send a review request to a customer? +
Use the request_review tool with the customer's email address and optional name. The request is sent immediately through your OneLocal account.
Can I monitor my overall reputation score? +
Yes. Use get_reputation to retrieve your aggregate reputation score with review trends, sentiment analysis, and platform-by-platform breakdown.
How do I track referral performance? +
Use list_referrals to see all customer referrals with their source, status, and conversion tracking data.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.