Compatible with every major AI agent and IDE
What is the CVM Dados Abertos MCP Server?
Connect your AI agent to the CVM (Comissão de Valores Mobiliários) Open Data portal and explore the Brazilian financial market through natural conversation.
What you can do
- Dataset Exploration — List all available datasets or search for specific topics like 'investment funds' or 'listed companies'.
- Deep Metadata Inspection — Fetch complete metadata for specific datasets, including update frequency, tags, and organizational ownership.
- Resource Access — Retrieve direct links and metadata for specific data resources (CSV, XML, or PDF files) within the portal.
- Organizational Mapping — List the CVM departments and thematic groups responsible for publishing specific sets of financial data.
- Market Research — Quickly find registration data (fi-cad) or daily reports (infodiario) without navigating complex web directories.
How it works
- Subscribe to this server
- Enter your CVM API Key (optional for public access, but recommended for higher limits)
- Start querying Brazilian financial data from Claude, Cursor, or any MCP client
Who is this for?
- Financial Analysts — instantly find the latest registration data for investment funds or corporate filings.
- Data Scientists — automate the discovery of CSV resources for financial modeling and market analysis.
- Compliance Officers — verify organizational data and thematic groupings for regulatory reporting.
Built-in capabilities (6)
Get complete metadata for a specific dataset
Get metadata for a specific resource
List all datasets available on the CVM portal
g., "Fundos de Investimento", "Companhias"). List thematic groups
g., CVM departments) that publish data on the portal. List organizations that publish data
Search for datasets matching specific criteria
Why LlamaIndex?
LlamaIndex agents combine CVM Dados Abertos tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine CVM Dados Abertos tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain CVM Dados Abertos tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query CVM Dados Abertos, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what CVM Dados Abertos tools were called, what data was returned, and how it influenced the final answer
CVM Dados Abertos in LlamaIndex
CVM Dados Abertos and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect CVM Dados Abertos to LlamaIndex 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 CVM Dados Abertos in LlamaIndex
The CVM Dados Abertos 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 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex 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
CVM Dados Abertos for LlamaIndex
Every tool call from LlamaIndex to the CVM Dados Abertos MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I find the most recent data for a specific investment fund?
Use the search_datasets tool with keywords like 'fundos' or 'fi-cad'. Once you identify the dataset, use get_dataset to list all available resources, which typically include the most recent CSV files.
Can I get the direct download link for a data file?
Yes! Use the get_resource tool with a specific Resource ID. The response will include the url field, which is the direct link to the raw data (e.g., a CSV file).
What are thematic groups in the CVM portal?
Thematic groups categorize datasets by market segment. Use list_groups to see categories like 'Fundos de Investimento', 'Companhias', and 'Auditores Independentes' to better navigate the available data.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query CVM Dados Abertos tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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