How to Use the FBI Crime Data Explorer MCP in AutoGen
Build AutoGen multi-agent debate teams to analyze FBI Crime Data Explorer metrics.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FBI Crime Data Explorer MCP to AutoGen
Create your Vinkius account to connect FBI Crime Data Explorer to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Debate crime statistics using AutoGen multi-agent systems
The `get_national_estimates` tool provides the raw data feed for AutoGen agents to debate and analyze public safety trends. This MCP Server gives your conversational agents the direct evidence they need to challenge assumptions. One agent can call the endpoint to establish a macro baseline, while a second AutoGen agent uses `get_state_summarized` to point out state-level variances that the national average hides. This consensus-driven debate ensures your policy reports are thoroughly vetted by competing analytical perspectives.
Verify local agency data through agent negotiation
The `get_agency_summarized` tool supplies granular local law enforcement metrics to your AutoGen assistant agents. When local reporting is incomplete, your agents negotiate how to weigh the missing data before finalizing their output. The MCP tool adapter handles the schema conversion automatically, allowing your AutoGen agents to focus on analyzing the raw JSON payloads. This setup prevents single-agent bias when evaluating municipal police performance.
Cross-examine demographic patterns with specialized agents
The `get_nibrs_victim_demographics` tool feeds raw demographic statistics directly into your AutoGen conversations. You assign a specialized analyst agent to parse these demographic profiles and flag anomalies. By combining this tool with other data sources in the same conversation, your AutoGen agents evaluate whether local crime trends correlate with broader demographic shifts. The entire process runs over secure, streamable HTTP connections.
Set up FBI Crime Data Explorer MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes FBI Crime Data Explorer tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="FBI Crime Data Explorer_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent FBI Crime Data Explorer data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="FBI Crime Data Explorer_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent FBI Crime Data Explorer data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FBI Crime Data Explorer. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about FBI Crime Data Explorer MCP in AutoGen
Use it with your favorite AI tools
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