Can I run custom SOQL queries?

Yes! The `soql_query` tool accepts any valid SOQL string. Example: SELECT Id, Name, Amount FROM Opportunity WHERE StageName = 'Closed Won' LIMIT 20.

Can I create records in any object?

Yes! Use `create_record` with the SObject type (Account, Contact, Lead, etc.) and a JSON string of fields.

How do I search across all Salesforce data?

Use `global_search` with your search text. It uses SOSL to find matches across Accounts, Contacts, Leads, and all other objects simultaneously.

Salesforce MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Salesforce
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Salesforce Specialist",
    goal="Help users interact with Salesforce effectively",
    backstory=(
        "You are an expert at leveraging Salesforce 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 Salesforce "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 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 Salesforce MCP Server

Connect your Salesforce CRM to any AI agent and manage your entire sales pipeline through natural conversation.

When paired with CrewAI, Salesforce becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Salesforce 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

SOQL Queries — Execute any SOQL query to retrieve data across all objects
Account Management — List, view, create, and update accounts
Contact & Lead Management — Browse contacts, search across all objects
Opportunity Tracking — Monitor pipeline, create and update deals
Reports — List and execute Salesforce reports
Full CRUD — Create, read, update, and delete any SObject type
Global Search — Full-text search across all Salesforce data

The Salesforce MCP Server exposes 12 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 Salesforce to CrewAI via MCP

Follow these steps to integrate the Salesforce 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 12 tools from Salesforce

Why Use CrewAI with the Salesforce MCP Server

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

Salesforce + CrewAI Use Cases

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

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

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

Salesforce MCP Tools for CrewAI (12)

These 12 tools become available when you connect Salesforce to CrewAI via MCP:

create_record

Provide JSON fields as a string. Create a new Salesforce record

delete_record

This action is irreversible. Delete a Salesforce record

describe_object

Useful for understanding data structure. Get metadata about a Salesforce object

get_record

Specify the SObject type (Account, Contact, Opportunity, Case, Lead) and the record ID. Get a specific Salesforce record by type and ID

global_search

Returns matches across Accounts, Contacts, Leads, and other objects simultaneously. Search across all Salesforce objects

list_accounts

List Salesforce accounts

list_contacts

List Salesforce contacts

list_opportunities

List sales opportunities

list_reports

List available Salesforce reports

run_report

Use list_reports first to find the report ID. Execute a Salesforce report and get results

soql_query

Example: SELECT Id, Name FROM Account WHERE Industry = 'Technology' LIMIT 10 Execute a SOQL query against Salesforce

update_record

Provide the SObject type, ID, and JSON fields to update. Update an existing Salesforce record

Example Prompts for Salesforce in CrewAI

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

"Show me all open opportunities worth over $50,000."

"Create a new lead for John Smith from TechCo, email john@techco.com."

"Run the Monthly Sales Report."

Troubleshooting Salesforce MCP Server with CrewAI

Common issues when connecting Salesforce 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.

Salesforce + CrewAI FAQ

Common questions about integrating Salesforce 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.