Bring Data Extraction
to LangChain
Learn how to connect Apify to LangChain and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Apify MCP Server?
Connect your Apify account to any AI agent and simplify how you manage your web scraping, automation actors, and data storage through natural conversation.
What you can do
- Actor Control — List and trigger serverless actors for web scraping and automation directly from your agent.
- Dataset Retrieval — Fetch the resulting data records (items) from your datasets to analyze or process values via AI.
- Run Monitoring — Track the history and status of recent actor executions to ensure reliability.
- Task Management — List and query configured actor tasks to reuse saved scraper settings.
- Data Insights — Retrieve detailed metadata and logs for specific runs to debug complex automations.
- Storage Visibility — List all datasets in your account to manage your collected web data.
How it works
1. Subscribe to this server
2. Enter your Apify API Token (found in your account settings under Integrations)
3. Start running your scrapers from Claude, Cursor, or any MCP client
Who is this for?
- Data Scientists & Researchers — quickly retrieve scraped data from datasets and analyze trends via simple AI commands.
- Automation Engineers — trigger actor runs and monitor execution health directly from the workspace.
- Product Managers — get instant bird's-eye views of automated data collection tasks and results.
Built-in capabilities (7)
Get items from a dataset
Get details for a specific run
List recent actor executions
List configured actor tasks
List Apify actors
List Apify datasets
Trigger an actor run
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Apify through native MCP adapters. Connect 7 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Apify MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Apify queries for multi-turn workflows
Apify in LangChain
Apify and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Apify to LangChain 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 Apify in LangChain
The Apify 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 7 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain 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
Apify for LangChain
Every tool call from LangChain to the Apify MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I provide input parameters when running an actor?
Yes! Use the run_actor tool and provide the optional input JSON object to configure specific scraper settings for that run.
How do I see the items collected in a dataset?
Run the get_dataset_results query with your Dataset ID. The agent will retrieve the data records, which you can then ask the AI to summarize or analyze.
Is it possible to check the status of a specific actor run?
Absolutely. Use the get_run_details tool and provide the Run ID. Your agent will retrieve the status (RUNNING, SUCCEEDED, FAILED) and metadata for that specific execution.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
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Install: pip install langchain-mcp-adapters