Grepsr MCP. Manage web scraping and retrieve structured data on demand.
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…and any MCP-compatible client
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Grepsr MCP Server manages your web scraping workflow. It lets your AI client trigger on-demand crawls, view execution history, and retrieve structured datasets from any report.
You can also manage webhook setups and list all connected cloud storage integrations (S3, SFTP).
What your AI agents can do
Create webhook
Sets up a new URL webhook to notify systems when a specific report has new data.
Get latest data
Gets the most recent set of structured data records from a specified report.
Get me
Retrieves basic metadata and account details for the connected Grepsr account.
List all existing reports and projects, and retrieve detailed configuration information for any specific item.
Trigger an immediate, on-demand crawl run for a specified report to update your data.
Retrieve the most recent, structured dataset associated with a given report.
List all active data integrations, such as S3 and SFTP, to confirm data flow setup.
Check the execution status, record counts, and full history for any given report.
Create, list, and manage webhooks to notify external systems when new data is available.
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Supported MCP Clients
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Grepsr MCP Server: 12 Tools for Web Scraping & Data Management
These tools let your AI client interact directly with your Grepsr account to manage reports, run crawls, retrieve data, and audit your data pipeline.
019d75abcreate webhook
Sets up a new URL webhook to notify systems when a specific report has new data.
019d75abget latest data
Gets the most recent set of structured data records from a specified report.
019d75abget me
Retrieves basic metadata and account details for the connected Grepsr account.
019d75abget report data
Queries and returns structured records pulled from a specific report ID.
019d75abget report details
Fetches the full configuration and metadata for a given report or crawler.
019d75abget report history
Retrieves a detailed log of all past crawl runs for a specific report.
019d75abget usage stats
Checks the current API usage count and any rate limit restrictions on the account.
019d75ablist integrations
Lists all active destinations where scraped data is delivered, like S3 or SFTP.
019d75ablist projects
Lists every scraping project configured in the Grepsr account.
019d75ablist reports
Lists every report and crawler currently set up in the Grepsr account.
019d75ablist webhooks
Lists all webhooks configured for a specific report ID.
019d75abrun report
Starts an immediate, manual crawl run for a specified report to update its data.
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 Grepsr, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
You're connecting your AI client to Grepsr so you can manage your whole web scraping operation. You'll get direct access to the tools needed to keep your data fresh and flowing. list_reports and list_projects let you see every report and every project you've got set up. You can then use get_report_details to pull the full setup and metadata for any specific report or crawler.
Need to know what's going on? get_report_history gives you a detailed log of every crawl run, showing you the execution status and record counts. You can kick off a manual update anytime with run_report, which starts an immediate crawl run for a specific report. To grab the freshest data, use get_latest_data for the most recent structured records, or get_report_data to query structured records from a specific report ID.
You can also check the full history by calling get_report_history. For the connections, list_integrations shows you all the destinations—like S3 or SFTP—where your scraped data is going. You'll also manage notifications with create_webhook to set up a new URL webhook, and list_webhooks lets you see all the webhooks configured for a report.
You can check your API usage and rate limit status with get_usage_stats. You can pull basic account info using get_me. These tools let you manage data delivery, check usage limits, and control the entire data flow right through your agent.
How Grepsr MCP Works
- 1 Subscribe to the Grepsr server and enter your API key (found in your Grepsr account under Profile > Personal Details).
- 2 Tell your AI client the specific task: 'List all my scraping reports' or 'Run a crawl for ID 104'.
- 3 Your agent executes the tool call, retrieving the list of reports or initiating the crawl, and presents the result to you.
The bottom line is you can manage and extract data from your web scraping pipeline using natural language commands.
Who Is Grepsr MCP For?
Data Engineers who need to check crawl statuses and verify record counts without opening a dashboard. Market Researchers who must trigger data refreshes for competitor pricing. Operations Teams that need to retrieve the latest scraped datasets and verify delivery integration status quickly.
Uses get_report_history to check crawl statuses and get_usage_stats to verify record counts without manual dashboard navigation.
Triggers a data refresh for competitor product lists using run_report directly through the chat interface.
Retrieves the latest scraped datasets using get_latest_data and verifies data delivery status using list_integrations.
What Changes When You Connect
- Don't manually check dashboards. Use
get_report_historyto track the status and record counts of crawl runs instantly. - Stop guessing if data arrived. Use
list_integrationsto see all active data delivery connections (S3, SFTP) and confirm data flow setup. - Need fresh data? Trigger a crawl with
run_reportand get the dataset refreshed without touching the UI. - Pull the final numbers immediately.
get_latest_datafetches the most recent structured records for a report, skipping the history logs. - Keep systems updated. Use
create_webhookto set up notifications that alert your internal systems as soon as new data lands. - Understand your limits.
get_usage_statschecks your API usage against request limits so you never hit a quota wall.
Real-World Use Cases
Checking Competitor Price Changes
A market researcher needs to know if a competitor changed its price. They ask their agent to run run_report for the product list report. The agent confirms the crawl started, then uses get_report_history to monitor the status until the data is ready. Finally, it calls get_latest_data to present the updated prices.
Auditing Data Delivery Setup
An operations analyst needs to confirm that the nightly scrape data made it to the cloud warehouse. They use list_integrations to verify that S3 and SFTP are active. They then use list_reports to confirm the correct report is feeding that data.
Debugging Data Ingestion Failures
A data engineer notices a report hasn't updated. They first run get_report_details to check the report's configuration. Then, they use get_report_history to find the last failed run and diagnose the exact failure point without manual dashboard navigation.
Automating Data Alerts
An ops team needs to know instantly when a critical dataset is updated. Instead of polling, they use create_webhook to set up a notification. The agent confirms the webhook is active, eliminating the need for constant manual checks.
The Tradeoffs
Asking for all data in one shot
Trying to pull every single record from a report using one massive query that times out or hits payload limits. This wastes tokens and fails silently.
→
First, use get_report_history to determine the report's run date. Then, use get_report_data to query specific date ranges or filtered record sets. Always narrow the scope.
Confusing reports with projects
Thinking that listing all projects (list_projects) gives you the current, structured data. It only gives you the container; you still need to run the data extraction.
→
To see the current data, you must first use list_reports to find the report ID, and then use get_latest_data with that ID.
Ignoring data delivery status
Assuming that because a report ran successfully, the data actually reached the target warehouse. The job might have failed downstream.
→
Always run list_integrations to verify that the destination (S3, SFTP) is active and configured for the relevant report.
When It Fits, When It Doesn't
Use this server if your primary goal is to programmatically manage, monitor, and extract structured data from web scraping reports. You need to trigger crawls (run_report), check data lineage (list_integrations), or pull records directly (get_report_data). Don't use this if you just need to read a static file or run a general database query; those require different database tools. If you only need to know what reports exist, use list_reports. If you need to know if a report can send data anywhere, use list_integrations. If you need to know when to run it, use get_report_history.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Grepsr. 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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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 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manual data pipelines require constant dashboard refreshing.
Today, updating data means logging into the Grepsr dashboard. You check the 'History' tab to see if the last crawl succeeded, then you check the 'Integrations' tab to confirm if S3 received the file. If anything is off, you have to manually run the job and wait, often clicking through three different tabs just to get a status update.
With the Grepsr MCP Server, you tell your agent, 'Check the status of the Amazon Product Data report.' The agent handles the multi-step check—it verifies the run status and the delivery integration status—and gives you a single, clear answer in the chat. No dashboard clicking required.
Grepsr MCP Server: Get structured data and manage crawls.
Before, to get the latest data, you had to navigate to the report, find the 'Run' button, click it, wait for the process to finish, and *then* find the 'View Data' button. It was a three-step process with high failure points.
Now, you just tell your agent: 'Run the Amazon Product Data report and show me the 5 newest records.' The agent handles the full sequence—triggering the crawl, waiting for completion, and pulling the records—and gives you the final, clean data set instantly.
Common Questions About Grepsr MCP
How do I check the status of a crawl using the get_report_history tool? +
The get_report_history tool provides a full log of every crawl run. You can check the run status, see how many records were processed, and identify the exact date and time of the last successful run.
Can I trigger a crawl without using the run_report tool? +
No. The run_report tool is the specific function designed to initiate an immediate, manual crawl run for a defined report ID. It's the only way to manually refresh the data.
What does the get_latest_data tool actually retrieve? +
It retrieves the most recent, structured data records for a report. This is a direct data pull, unlike get_report_details, which only fetches configuration metadata.
How do I set up an automatic alert when data is ready? +
Use the create_webhook tool. This sets up a notification URL that alerts your external system (like a Slack channel or database) the moment Grepsr finishes processing new data.
Where do I check if my data can reach S3? +
You check this using the list_integrations tool. This lists all active data delivery endpoints and confirms if S3 or SFTP is correctly configured for your accounts.
How do I check my API usage limits using the get_usage_stats tool? +
The get_usage_stats tool provides real-time metrics on your account's API usage and current request limits. You can check if you're nearing a limit or what your quota is for the month.
What details can I retrieve about a specific report using the get_report_details tool? +
The get_report_details tool gives you the full metadata and configuration for any report. This includes the original scraping rules, the last time it ran, and other setup parameters.
Can I list all my projects using the list_projects tool? +
Yes, the list_projects tool retrieves a comprehensive list of all your scraping projects. This lets you see and manage the containers for your individual reports.
Can my agent trigger a new web crawl in Grepsr? +
Yes. Use the 'run_report' tool. By providing the Report ID, the agent can programmatically trigger an on-demand crawl, starting the data extraction process immediately flawlessly.
How do I retrieve the actual scraped data records via chat? +
You can use the 'get_report_data' or 'get_latest_data' tools. Your agent will fetch the structured records from Grepsr's database and present them in a readable format within your chat interface flawlessly.
Can I check my API usage limits through the agent? +
Absolutely. Use the 'get_usage_stats' tool. Your agent will retrieve your current plan limits and remaining API credits, helping you manage your data extraction budget flawlessly.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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