Where do I find my regional API Host?

Log in to LeadSquared and go to Settings > API and Webhooks. Your regional host (e.g., `api-us11.leadsquared.com`) will be displayed there.

Can the agent automatically handle duplicate leads?

Yes, the `capture_lead` and `create_or_update_lead` tools use LeadSquared's internal logic to identify and merge duplicates based on email or phone number.

Is it possible to list activities for a specific opportunity?

Absolutely. Use the `list_opportunity_activities` tool with the target `opportunityId` to retrieve its full interaction history.

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

Name: LeadSquared
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to LeadSquared through Vinkius, pass the Edge URL in the `mcps` parameter and every LeadSquared 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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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="LeadSquared Specialist",
    goal="Help users interact with LeadSquared effectively",
    backstory=(
        "You are an expert at leveraging LeadSquared 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 LeadSquared "
        "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 LeadSquared MCP Server

Connect your LeadSquared account to any AI agent to automate your sales execution and CRM workflows. This MCP server enables your agent to interact with leads, capture new prospects, track activities, and manage sales opportunities directly.

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

What you can do

Lead Management — Search, retrieve, and capture leads while maintaining a clean database with automatic deduplication
Activity Tracking — List and record interactions like calls, meetings, and emails associated with specific leads
Opportunity Oversight — Create and monitor sales opportunities and their associated activity histories
Custom Field Support — Access full profile details and custom attributes for all your CRM entities
Workflow Automation — Identify activity types and update prospect statuses via natural language commands

The LeadSquared 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 LeadSquared to CrewAI via MCP

Follow these steps to integrate the LeadSquared 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 LeadSquared

Why Use CrewAI with the LeadSquared MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with LeadSquared 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

LeadSquared + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries LeadSquared 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 LeadSquared, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain LeadSquared 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 LeadSquared against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

LeadSquared MCP Tools for CrewAI (10)

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

capture_lead

Capture or update a lead

create_opportunity

Create a new sales opportunity

create_or_update_lead

Uses email or phone as the matching criteria. Create or update a lead profile

create_prospect_activity

g., call log, email sent) to a lead profile. Record a new activity for a lead

get_lead_details

Get details for a specific lead

list_activity_types

g., Phone Call, Meeting) configured in LeadSquared. List all lead activity types

list_lead_activities

List activities for a specific lead

list_opportunities

List sales opportunities

list_opportunity_activities

List activities for a specific opportunity

search_leads

Search for leads with criteria

Example Prompts for LeadSquared in CrewAI

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

"Find a lead with email 'test@example.com' in LeadSquared."

"List all sales opportunities in the pipeline."

"Capture a new lead: Name 'Alice Smith', Email 'alice@corp.com'."

Troubleshooting LeadSquared MCP Server with CrewAI

Common issues when connecting LeadSquared 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.

LeadSquared + CrewAI FAQ

Common questions about integrating LeadSquared 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.