Nimbleway MCP. Web Scraping and Structured Search via AI Agent.
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Nimbleway helps your AI client scrape the web. Use it to extract full HTML or clean Markdown from any URL; run structured searches against major search engines; and monitor complex scraping pipelines directly via API calls.
It’s high-performance, stealth data collection built for agents.
What your AI agents can do
Extract html
Fetches the content of a specified webpage and returns it as raw HTML.
Extract markdown
Fetches the content of a specified webpage and cleans it into readable Markdown format.
Get account usage
Checks your current bandwidth consumption against your monthly limit.
Sends a URL to the server and returns the full text content, either as raw HTML or clean Markdown.
Takes search terms and returns structured data summaries from major web engines, bypassing simple keyword matching.
Retrieves current bandwidth consumption, remaining credits, and overall account health metrics.
Allows the agent to list all active jobs or entire scraping pipelines for status checks and inspection.
Retrieves configuration details for your configured residential and data center proxy services.
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Supported MCP Clients
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Nimbleway: 10 Tools for Data Extraction & Web Searching
These tools give your AI client access to high-performance web crawling, targeted searches, and full account resource management.
019d75ddextract html
Fetches the content of a specified webpage and returns it as raw HTML.
019d75ddextract markdown
Fetches the content of a specified webpage and cleans it into readable Markdown format.
019d75ddget account usage
Checks your current bandwidth consumption against your monthly limit.
019d75ddget job
Retrieves specific metadata and status details for a single scraping job ID.
019d75ddget me
Gets basic, current information about your connected Nimbleway account profile.
019d75ddget pipeline
Retrieves detailed status and configuration for a specific data pipeline ID.
019d75ddlist jobs
Lists all recent scraping jobs that have been run on your account.
019d75ddlist pipelines
Displays a list of all the data pipelines you've configured in Nimbleway.
019d75ddlist proxies
Lists all available proxy configurations, including residential and data center endpoints.
019d75ddsearch web
Performs a structured search across the web for specific keywords or topics.
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 Nimbleway, 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
This server lets your AI client scrape whatever you point it at. You can run structured searches against major web engines using search_web, which takes keywords and spits out organized data summaries instead of just raw links.
When you need to pull content from a specific URL, the extract_html tool fetches the full text as raw HTML. If you want something cleaner for reading or documentation, use extract_markdown; it grabs the same page content but cleans it up into readable Markdown format.
For managing your data collection workflow, there's a bunch of tools here. To see all the pipelines you’ve set up in Nimbleway, run list_pipelines. You can then check the specific status and configuration details for any single pipeline using get_pipeline with its ID. The system tracks every job you send out; use list_jobs to pull a list of recent scraping efforts, or get deep metadata on one attempt at a time by calling get_job with just the job ID.
You gotta keep an eye on your usage, too. To check what bandwidth you've burned against your monthly limit, call get_account_usage. For basic info on your Nimbleway profile, run get_me. You can also manage how you connect to the web; list_proxies pulls up configuration details for all your available proxy services, whether they’re residential or data center IPs.
This server keeps everything organized: you'll get a full picture of what your account status is through these specific API calls. You don't have to guess if the job ran or what the limits are; it's all right here for your agent to check.
How Nimbleway MCP Works
- 1 Subscribe to the Nimbleway server.
- 2 Input your unique Nimbleway API Key into your AI client settings.
- 3 Tell your agent what you need—for example, 'Search for X and extract the result as Markdown.' The agent then calls the appropriate tool.
The bottom line is: you keep your complex web data tasks inside natural language commands, letting the server handle the API calls and scraping mechanics.
Who Is Nimbleway MCP For?
This is for people who can't afford to manually copy-paste from websites or spend hours building fragile scrapers. You need structured data immediately. Think Market Researchers needing competitive intelligence, Data Engineers testing extraction rules fast, or Developers embedding high-fidelity web scraping directly into production code.
Automates gathering structured results on niche topics—like comparing product features across ten different vendor sites—without needing to write custom Python scripts.
Runs quick, ad-hoc extraction tests or checks pipeline status without having to open the full Nimbleway dashboard; it's immediate feedback for testing rules.
Integrates robust web scraping into a workflow using simple natural language commands instead of managing complex proxy rotation and HTML parsing logic themselves.
What Changes When You Connect
- Structured Data: Running
search_webgives you structured results from major search engines. You don't get a list of links; you get usable data points immediately, which is massive for competitive analysis. - Ad-Hoc Scraping: Need to check one page quickly? Use
extract_markdown. It delivers clean text instantly, perfect for agents that summarize content without needing raw HTML mess. - Visibility on Jobs: The server lets your agent call
list_jobsorget_jobso you can track complex scraping runs. You never have to guess if a job finished or failed. - Resource Control: Tools like
get_account_usageput usage right in the chat window. Check bandwidth and credits before running a massive scrape; it prevents unexpected service cuts. - System Oversight: Use
list_pipelinesandget_pipelineto see how your data workflows are set up. It’s simple management for complex, multi-step scraping rules.
Real-World Use Cases
Competitive Feature Gathering
A market researcher needs to compare the pricing structure of five competing SaaS products. Instead of visiting ten sites and copying data manually, they ask their agent: 'Search the web for X product reviews and extract structured data.' The agent uses search_web and returns clean comparison points in one go.
Debugging a Workflow
A developer runs a new scraping pipeline, but it fails. Instead of logging into the dashboard, they tell their agent to call list_pipelines then get_pipeline for that specific ID. The agent instantly reports the exact failure point or configuration issue.
Quick Content Sourcing
A writer needs a quick summary of an article but doesn't have time to paste it into a separate tool. They ask their agent: 'Extract this whole page as Markdown.' The agent uses extract_markdown and delivers clean, usable text right in the chat.
Pre-flight Usage Check
A data team is about to run a massive job across 50 URLs. Before starting, they ask their agent: 'Check account usage.' The agent uses get_account_usage and reports remaining credits, stopping the process before running out of resources.
The Tradeoffs
Over-relying on raw scraping
The user asks for general 'web content' but doesn't specify format or source. They get massive blobs of unreadable HTML, which the AI client can't easily parse.
→
Always specify the output first. If you need text, use extract_markdown. If you need structured data points like prices and dates, run a targeted search_web command instead.
Confusing job lists
The user needs to know the status of Job ID 123 but runs 'list_jobs' first. They get a long list and have to manually scroll until they find their specific job.
→
Skip listing everything. Just ask the agent to call get_job directly with the specific job ID. It’s faster, cleaner, and gets you straight to the status.
Ignoring account limits
The user initiates a huge scrape without checking their quota, resulting in an immediate failure message saying 'Out of credits.'
→
Always run get_account_usage before starting any major extraction. It tells you your bandwidth and remaining credits upfront.
When It Fits, When It Doesn't
Use this server if your workflow requires reliable, structured web data or complex scraping operations. You need to extract content from multiple URLs, track the process via job IDs (get_job), or pull real-time search summaries (search_web).
Don't use it if you only need simple text processing (use a standard NLP tool) or if your data source is already perfectly clean and structured in a database. If all you are doing is reading a few static files, this overkill. Also, if you don't know which specific tool to use—like list_jobs vs list_pipelines—check the documentation first; they manage different resource types.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nimbleway. 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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually gathering data from multiple websites is slow and messy.
Today, if you need to compare product features or gather market intelligence, you open ten tabs. You copy the price from Tab 1, paste it into a spreadsheet, then navigate to Tab 2 and repeat the process. It's clicking through dashboards, cross-referencing data points, and spending an hour just assembling the raw input.
With Nimbleway, your agent handles it all. You give one prompt: 'Compare X product features from these five sites.' The server uses `search_web` to pull structured results across multiple sources—no tabs, no copying, just usable data returned directly to you.
Nimbleway MCP Server: Web Data Extraction
Manual scraping requires managing proxies, dealing with CAPTCHAs, and writing brittle code that breaks when a single website updates its layout. You spend time fixing the scraper instead of analyzing the data.
Now, your agent calls `extract_html` or `extract_markdown`. The server handles the stealth tech and the rendering; you just get clean output. It’s reliable web content extraction without the maintenance headache.
Common Questions About Nimbleway MCP
How do I check if my scraping job is finished using get_job? +
You call get_job and provide the unique Job ID. The server returns the current status (e.g., 'SUCCESS' or 'FAILED') and, if successful, the results metadata.
Should I use list_jobs or get_job for status checks? +
Use list_jobs when you want to see a history of all recent jobs. If you know the exact ID and just need the status, call get_job directly; it's faster.
What is the difference between extract_html and extract_markdown? +
extract_html gives you the full, raw code structure of a webpage. extract_markdown cleans that content up into readable Markdown, which is usually what you want for analysis.
How do I see my current usage with get_account_usage? +
Just ask the agent to run get_account_usage. It reports your bandwidth used this month and how many extraction credits you have left, so you don't hit a paywall.
What information does running `list_proxies` provide about my endpoints? +
It lists all your current proxy configurations, detailing both residential and data center options. This lets you check the specific endpoint details needed for geographical targeting or managing rate limits.
If I need to modify an existing scraping workflow, how do I use `get_pipeline`? +
Use get_pipeline first to inspect the full structure and parameters of your current data stream. This gives you a clear overview of exactly what needs changing before you rerun or update it.
What format does the `search_web` tool deliver for structured search results? +
It delivers web search results in highly structured JSON format. You get titles, snippets, and source URLs for each result, making them easy to process directly into a database or spreadsheet.
How do I confirm my account status before running jobs using `get_me`? +
get_me pulls your current usage limits, subscription tier details, and primary billing information. It's the fastest way to verify that all your credentials are active before initiating any data extraction.
How do I get a Nimbleway API Key? +
Log in to your Nimbleway dashboard, navigate to Settings or API section, and generate a new Bearer Token for access.
What is stealth mode in extraction? +
Nimbleway's extraction tools automatically use advanced fingerprinting and proxy rotation to mimic real human browsers, allowing you to access content protected by anti-bot measures.
Can I search Google or Bing with this server? +
Yes! The search_web tool uses Nimble Search to query major search engines and return the results as structured JSON, perfect for agentic workflows.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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