Bring Headless Browser
to Google ADK
Learn how to connect Olostep to Google ADK and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Olostep MCP Server?
Connect your Olostep account to any AI agent and take full control of your web scraping orchestration and automated data extraction workflows through natural conversation.
What you can do
- Scraping Batch Orchestration — List and manage your entire portfolio of scraping batches programmatically, retrieving detailed technical status and URL counts
- URL Extraction Intelligence — Programmatically trigger and monitor real-time URL scrapes to maintain a perfectly coordinated knowledge pipeline
- Agent & Schedule Architecture — Access your complete directory of research agents and automated schedules to oversee your organizational data ingestion
- Hosted Result Monitoring — Access hosted result URLs (Markdown, JSON) and retrieve technical metadata for your research archive in real-time
- Operational Monitoring — Verify account-level API connectivity and monitor scraping volume directly through your agent for perfectly coordinated service scaling
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Olostep dashboard (Settings > API)
3. Start orchestrating your data growth from Claude, Cursor, or any MCP client
No more manual checking of individual scraping jobs or missing batch completion alerts. Your AI acts as your dedicated data coordinator and extraction architect.
Who is this for?
- Data Engineers — instantly retrieve batch performance recaps and monitor scraping status using natural language commands
- Researchers — verify individual URL metadata and track extraction history without leaving your creative workspace
- Developers — integrate high-speed Olostep scraping data into custom LLM and RAG pipelines through simple AI queries
Built-in capabilities (10)
Verify Olostep API connectivity
Create a scraping agent
Pass URLs as comma-separated values. Create a batch scrape
Get agent details
Get batch details
Get batch results
Get API usage stats
List scraping agents
List all batches
Optionally specify format: markdown, html, or text. Scrape a web page
Why Google ADK?
Google ADK natively supports Olostep as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Olostep
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Olostep tools with BigQuery, Vertex AI, and Cloud Functions
Olostep in Google ADK
Olostep and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Olostep to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Olostep in Google ADK
The Olostep 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Olostep for Google ADK
Every tool call from Google ADK to the Olostep MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I scrape a web page via AI?
Use the scrape_url tool with the target URL and optional format (markdown, html, or text). The content is extracted and returned instantly.
Can I scrape multiple URLs at once?
Yes. Use create_batch with comma-separated URLs to submit a batch job. Track progress with get_batch and retrieve results with get_batch_results.
What are scraping agents and how do I use them?
Agents are reusable scraping configurations with custom extraction rules. Use create_agent to set one up and list_agents to manage them.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk