How do I find an Entity ID?

Use the `search_intelligence_entities` tool with the name of the company or person. It will return a list of matches with their IDs.

What kind of signals does KnowFirst track?

KnowFirst tracks financial events, leadership changes, social media mentions, news sentiment, and operational shifts.

Can I query raw data points?

Yes, use the `list_entity_data_points` tool to see the underlying observations recorded for any entity.

KnowFirst MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: KnowFirst
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to KnowFirst through Vinkius, pass the Edge URL in the `mcps` parameter and every KnowFirst tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="KnowFirst Specialist",
    goal="Help users interact with KnowFirst effectively",
    backstory=(
        "You are an expert at leveraging KnowFirst tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in KnowFirst "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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 KnowFirst MCP Server

Connect your AI agent to KnowFirst, the leading provider of real-time data intelligence and entity profiling.

When paired with CrewAI, KnowFirst becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call KnowFirst tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

Key Capabilities

Entity Profiling — Deep search for companies and individuals to get comprehensive intelligence data
Signal Auditing — Track changes and signals for specific entities over time to detect shifts in behavior
Market Analysis — Access trending signals by category to understand sector-wide movements
Relationship Mapping — Graph connections between entities to discover hidden networks and dependencies
Source Transparency — Audit the data sources providing information for your research

Simple Integration

1. Get your KnowFirst API Key from your dashboard
2. Configure the key in this MCP server
3. Start extracting data intelligence using natural language commands

The KnowFirst MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 KnowFirst to CrewAI via MCP

Follow these steps to integrate the KnowFirst MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from KnowFirst

Why Use CrewAI with the KnowFirst MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with KnowFirst through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

KnowFirst + CrewAI Use Cases

Practical scenarios where CrewAI combined with the KnowFirst MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries KnowFirst for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries KnowFirst, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain KnowFirst tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries KnowFirst against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

KnowFirst MCP Tools for CrewAI (10)

These 10 tools become available when you connect KnowFirst to CrewAI via MCP:

audit_entity_changes

Audit historical changes for an entity

check_knowfirst_api_status

Check the status of the KnowFirst API

get_entity_connections

Graph the connections of an entity

get_entity_profile

Get complete intelligence profile for an entity

get_market_intelligence_trends

g., Tech, Finance). Get current market trends by category

list_entity_data_points

List raw data points for an entity

list_intelligence_sources

g., Public Records, Social Signals, News). List all data sources used by KnowFirst

query_custom_intelligence

Provide the query parameters as a JSON string. Execute a custom intelligence query

search_data_sources

Search for specific data sources

search_intelligence_entities

Returns unique entity IDs. Search for specific entities in the intelligence database

Example Prompts for KnowFirst in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with KnowFirst immediately.

"Research Acme Corp in KnowFirst"

"Show me the connections for entity 'ent_123'"

"What are the trending signals in the 'Fintech' category?"

Troubleshooting KnowFirst MCP Server with CrewAI

Common issues when connecting KnowFirst to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

KnowFirst + CrewAI FAQ

Common questions about integrating KnowFirst MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.