CFPB Complaints MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CFPB Complaints as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to CFPB Complaints. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in CFPB Complaints?"
)
print(response)
asyncio.run(main())
* 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
About CFPB Complaints MCP Server
Connect to CFPB Consumer Complaint Database and explore 13.8M+ consumer complaints through natural conversation — no API key needed.
LlamaIndex agents combine CFPB Complaints tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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.
What you can do
- Complaint Search — Search complaints by product, company, state, issue and date range
- Company Complaints — View all complaints against a specific company
- State Complaints — Browse complaints from a specific US state
- Product Complaints — Find complaints for specific financial products (Mortgage, Debt Collection, Credit Card)
- Consumer Narratives — Read detailed consumer narratives describing their experiences
- Recent Complaints — Track recently filed complaints and complaint trends
- Statistics — Get complaint counts for quick analysis
The CFPB Complaints MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect CFPB Complaints to LlamaIndex via MCP
Follow these steps to integrate the CFPB Complaints MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from CFPB Complaints
Why Use LlamaIndex with the CFPB Complaints MCP Server
LlamaIndex provides unique advantages when paired with CFPB Complaints through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CFPB Complaints tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CFPB Complaints tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CFPB Complaints, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CFPB Complaints tools were called, what data was returned, and how it influenced the final answer
CFPB Complaints + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CFPB Complaints MCP Server delivers measurable value.
Hybrid search: combine CFPB Complaints real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CFPB Complaints to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying CFPB Complaints for fresh data
Analytical workflows: chain CFPB Complaints queries with LlamaIndex's data connectors to build multi-source analytical reports
CFPB Complaints MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect CFPB Complaints to LlamaIndex via MCP:
get_company_complaints
Returns complaint details including products, issues, states, dates and company responses. Get complaints against a specific company
get_complaint
Returns full complaint details including product, company, issue, narrative (if available), dates and company response. Get a specific complaint by ID
get_complaints_by_issue
Common issues: "Incorrect information", "Problem with a purchase", "Attempts to collect debt not owed". Get complaints for a specific issue type
get_complaints_by_product
Common products: "Mortgage", "Debt collection", "Credit card", "Student loan", "Credit reporting". Get complaints for a specific product type
get_complaints_by_state
Returns complaint details including products, companies, issues and dates. Get complaints from a specific US state
get_complaints_stats
Useful for getting a quick count without retrieving full complaint details. Get complaint count statistics
get_complaints_with_narrative
Supports filtering by product, company and state. Get complaints that include consumer narratives (detailed descriptions)
get_recent_complaints
Useful for tracking recent complaint trends. Get the most recent consumer complaints
search_complaints
8M+ complaints against financial companies. Supports filtering by product, company, state, issue, date range and narrative availability. Returns complaint details including product type, company name, issue, state, date received and company response. Search consumer complaints in the CFPB database
Example Prompts for CFPB Complaints in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CFPB Complaints immediately.
"Show me recent complaints about Wells Fargo."
"What are the most common issues with debt collection?"
"How many complaints does Equifax have?"
Troubleshooting CFPB Complaints MCP Server with LlamaIndex
Common issues when connecting CFPB Complaints to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCFPB Complaints + LlamaIndex FAQ
Common questions about integrating CFPB Complaints MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect CFPB Complaints with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CFPB Complaints to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.