How to Use the Candid (GuideStar) MCP in CrewAI

Deploy a specialized research crew using Candid (GuideStar) and CrewAI agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Candid (GuideStar) MCP to CrewAI

Create your Vinkius account to connect Candid (GuideStar) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Candid (GuideStar) with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

CrewAI agents for charity research

Assign a researcher agent to use `search_nonprofits` and `get_nonprofit_news`. A second analyst agent then takes those results to build a full profile. It creates a collaborative environment where agents share memory. They work together to verify charity status before your final report is generated.

Automated grant discovery

Task your crew with `search_grants` and `get_grant_details` to find funding opportunities for your clients. Each agent specializes in a different part of the search. This setup removes the need for manual monitoring. The agents handle the repetitive tasks of filtering and data collection.

Compliance reporting with CrewAI

Let your agents use `get_charity_check_pdf` to compile audit-ready documents. The crew manages the entire process from fetching data to saving the final report. It keeps your records consistent and accurate. Your team only steps in to review the finalized output.

Setup guide

Set up Candid (GuideStar) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Candid (GuideStar) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Candid (GuideStar) Analyst",
    goal="Access and analyze Candid (GuideStar) data via MCP.",
    backstory="Expert analyst with direct Candid (GuideStar) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Candid (GuideStar) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Candid (GuideStar) Analyst",
        goal="Access and analyze Candid (GuideStar) data via MCP.",
        backstory="Expert analyst with direct Candid (GuideStar) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Candid (GuideStar) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Candid (GuideStar). 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Candid (GuideStar) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Candid (GuideStar) MCP in CrewAI

You pass the server URL directly into your agent's configuration. Once defined, your CrewAI agents gain access to the full suite of charity research tools.

Yes, they use shared memory to pass insights between tasks. One agent fetches the data, and another analyzes it for your specific research goals.

You use the tool filter in your agent config to restrict access. This ensures your research agent only sees the tools it needs to perform its specific role.

We keep every server instance ephemeral. Your data is never stored on persistent disks and is wiped as soon as your agent crew completes the task.

The server processes nonprofit demographic data, grant records, and financial status reports. We protect this with end-to-end encryption that prevents unauthorized access while your agents are working.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript