DonorsChoose MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add DonorsChoose as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="donorschoose_agent",
tools=tools,
system_message=(
"You help users with DonorsChoose. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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 DonorsChoose MCP Server
Integrate DonorsChoose, the leading crowdfunding platform for public school teachers, directly into your AI workflow. Search for classroom projects across the US, filter by state, subject, or ZIP code, monitor urgent funding needs, and retrieve detailed information for educational proposals using natural language.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use DonorsChoose tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Project Discovery — Search for classroom projects using keywords, subjects, or specific geographic locations (states and ZIP codes).
- Funding Oversight — Monitor projects that are close to their expiration or have high urgency to identify immediate support needs.
- Proposal Intelligence — Retrieve detailed information for specific classroom projects, including school details and itemized resource lists.
- Newest Opportunity Tracking — List the most recently posted classroom proposals to identify new funding opportunities across the organization.
The DonorsChoose MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 DonorsChoose to AutoGen via MCP
Follow these steps to integrate the DonorsChoose MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from DonorsChoose automatically
Why Use AutoGen with the DonorsChoose MCP Server
AutoGen provides unique advantages when paired with DonorsChoose through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use DonorsChoose tools to solve complex tasks
Role-based architecture lets you assign DonorsChoose tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive DonorsChoose tool calls
Code execution sandbox: AutoGen agents can write and run code that processes DonorsChoose tool responses in an isolated environment
DonorsChoose + AutoGen Use Cases
Practical scenarios where AutoGen combined with the DonorsChoose MCP Server delivers measurable value.
Collaborative analysis: one agent queries DonorsChoose while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from DonorsChoose, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using DonorsChoose data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process DonorsChoose responses in a sandboxed execution environment
DonorsChoose MCP Tools for AutoGen (10)
These 10 tools become available when you connect DonorsChoose to AutoGen via MCP:
get_classroom_project_details
Get detailed information for a specific classroom project
get_donorschoose_api_metadata
Retrieve metadata for the current API connection
list_high_poverty_needs
Identify projects from schools in high-poverty areas
list_latest_classroom_proposals
List the most recently posted classroom projects
list_projects_by_state
List classroom projects in a specific US state (e.g., NY, CA)
list_projects_by_subject
List projects filtered by subject area (e.g., Literacy, Math)
list_urgent_funding_needs
Identify projects that are close to their expiration or have high urgency
quick_regional_funding_audit
Retrieve a high-level summary of active projects in a region
search_classroom_projects
Search for DonorsChoose classroom projects using keywords
search_projects_by_zipcode
Search for classroom projects within a specific US ZIP code
Example Prompts for DonorsChoose in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with DonorsChoose immediately.
"Search for classroom projects in New York about 'Literacy'."
"Show me urgent projects near ZIP code '90210'."
"List the newest classroom proposals."
Troubleshooting DonorsChoose MCP Server with AutoGen
Common issues when connecting DonorsChoose to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"DonorsChoose + AutoGen FAQ
Common questions about integrating DonorsChoose MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect DonorsChoose with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DonorsChoose to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
