Bring Open Data
to LangChain
Learn how to connect Dades Obertes Catalunya to LangChain and start using 2 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Dades Obertes Catalunya MCP Server?
Unlock the power of Dades Obertes Catalunya, the official open data platform of the Government of Catalonia. This MCP server allows your AI agent to browse thousands of public datasets and perform complex queries through natural conversation.
What you can do
- Catalog Discovery — Search for datasets by keywords, categories, or tags to find relevant public information using the
search_catalogtool. - Advanced Querying — Use SoQL (Socrata Query Language) via
query_datasetto filter, select specific columns, and sort data from any dataset using its 4x4 identifier. - Data Analysis — Group results and perform full-text searches across entire datasets to extract insights on health, transport, economy, and more.
- Pagination & Limits — Efficiently handle large datasets with built-in support for limits and offsets to browse records systematically.
How it works
- Subscribe to this server
- (Optional) Enter your Socrata App Token for higher rate limits
- Start querying Catalan public data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — quickly pull public statistics into your workflow without manual CSV downloads
- Researchers — find and cross-reference government data on demographics, environment, or urban planning
- Developers — test data queries and explore API structures directly through natural language
Built-in capabilities (2)
g., abcd-1234). Supports SoQL parameters like $select, $where, $limit. Query a specific dataset using SoQL parameters
Returns dataset identifiers needed for the query_dataset tool. Search the Dades Obertes Catalunya catalog for datasets
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Dades Obertes Catalunya through native MCP adapters. Connect 2 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 Dades Obertes Catalunya 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 Dades Obertes Catalunya queries for multi-turn workflows
Dades Obertes Catalunya in LangChain
Dades Obertes Catalunya and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Dades Obertes Catalunya 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 | 4,000+ 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 Dades Obertes Catalunya in LangChain
The Dades Obertes Catalunya 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 2 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
Dades Obertes Catalunya for LangChain
Every tool call from LangChain to the Dades Obertes Catalunya 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 find the unique identifier for a specific dataset?
Use the search_catalog tool with a descriptive query. The response will include the 4x4 alphanumeric ID (e.g., 'abcd-1234') which you can then use with the query_dataset tool.
Can I filter data by specific values like a city or a date range?
Yes! When using query_dataset, use the $where parameter to apply SoQL filters. For example, $where: "poblacio > 5000" or $where: "comarca = 'Barcelonès'".
Is a Socrata App Token mandatory to use this server?
No, it is optional. However, providing a DADES_APP_TOKEN allows for higher rate limits and prevents throttling during intensive data exploration.
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.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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