AI can only help with the work it can see — the Model Context Protocol lets it see yours.

Connect once. Ask anything.

mcp.ngo is a resource hub for nonprofit organizations that want to put connected AI to work: the Model Context Protocol (MCP) is the free, open standard that lets AI assistants securely reach the systems a nonprofit already runs on — the donor database, the shared drive, the spreadsheets, the project boards — and turn scattered records into answers, drafts, and time returned to the mission.

No nonprofit runs on a single system. Donor records live in the CRM, program data in spreadsheets, institutional memory in a shared drive — and yet most teams use AI assistants that can see none of it, so staff spend their days copying and pasting context into a chat window. The results are visible across the sector: 92 percent of nonprofits now use AI, but only 7 percent say it has meaningfully expanded what their organization can accomplish (The 2026 Nonprofit AI Adoption Report, Virtuous & Fundraising.AI). These are not failures of effort. They are failures of connection between the tools — and they are fixable.

Our guides are written for practitioners, not engineers. They combine current, verified information with field-tested checklists, real-world scenarios, and actionable templates. Everything we publish is free to download, share, and adapt.

What You’ll Find Here

  • Guide 1: Understanding MCP. What is the Model Context Protocol, why has every major AI platform adopted it, and what does it actually mean for an organization like mine — in plain language, with no technical background required?
  • Guide 2: Putting MCP to Work. How do I actually connect our tools — across fundraising, grants, programs, communications, and operations — and run a low-risk, 30-day pilot that proves (or disproves) the value for our team?
  • Guide 3: Connecting with Care. How do we adopt connected AI without putting donor and community data at risk — with the vetting questions, access rules, and one-page policy that keep everything safe and governed?
Understanding MCP

Our Values

We believe that plain language is a form of access — that the organizations doing the most important work should never need a technical translator to benefit from an open standard. We believe that small teams deserve big-team capability: open protocols like MCP exist precisely so that a three-person development office can have the connected tools once reserved for enterprise budgets. We believe that connection must never come at the community’s expense — that donor and beneficiary data deserve duty-of-care governance, minimum access by default, and human judgment at every consequential step. And we believe that independent knowledge belongs to everyone: we are not affiliated with any AI vendor, we recommend practices rather than products, and everything we publish is free to access, download, and use.

Guides

Guide 1 — Understanding MCP: The Model Context Protocol in Plain Language

The conceptual foundations: what the Model Context Protocol is (and how it differs from the AI assistants it connects), the copy-paste problem it solves, how a connection actually works in nonprofit terms — hosts, connectors, and permissions, translated — who created the standard and the neutral foundation that governs it now, an honest account of what MCP is not, and a jargon-free glossary of the ten terms you’ll actually encounter. With a walkthrough of a development director connecting a donor database, and the sector data behind the “efficiency plateau” — why 92 percent of nonprofits use AI but only 7 percent report major impact. Read More

The practitioner’s handbook: connected-AI use cases across fundraising and donor relations, grants and institutional giving, programs and impact reporting, communications, and operations; how connecting actually works — remote and local connectors, assistant directories, and the official registry; a week-by-week 30-day pilot plan sized for a small team; build-versus-buy guidance; a realistic cost picture; and five pitfalls to step around. Full frameworks: workflow selection criteria, a pilot measurement plan, and the documentation habits that turn one person’s magic trick into an organizational capability.
Read More

Closing the loop safely: the five threat patterns behind almost every connected-AI incident — prompt injection, tool poisoning and rug pulls, the dangerous data–content–outbound combination, over-permissioning, and careless credentials — plus ten questions to ask before connecting anything, least-privilege access design, a green/yellow/red data classification your whole staff can memorize, a one-page AI policy, incident basics, and plain-English compliance notes covering GDPR, CCPA, HIPAA, PCI, and funder agreements. Ends with the one-page checklist — before, during, and ongoing — that keeps donor and community data safe. Read More

Start Here

New to MCP?
Begin with Guide 1 for the foundations: what the protocol is, how a connection works, and what it means for an organization like yours.

Ready to connect your tools?
Jump to Guide 2 for use cases across fundraising, grants, programs, and operations — with a full 30-day pilot plan.

Responsible for the data?
Guide 3 covers vetting, permissions, data classification, and governance — the checklist that keeps donor and community information safe.

All mcp.ngo guides are published under a Creative Commons Attribution 4.0 International license (CC BY 4.0) — share freely, adapt openly, and credit the source.