GrantOrb, In Your AI Chat

Here’s a bet I’m making about the next few years: you won’t go to software anymore. Software will come to you — inside the AI assistant where you already spend your day.

Millions of people now start their morning in Claude or ChatGPT. They plan, write, and think there. Asking those people to leave that conversation, open another browser tab, log into another dashboard, and re-explain their context to yet another app? That’s the old world’s workflow wearing new clothes.

So we did the obvious thing. We put GrantOrb inside the chat.

From general-purpose bot to specialist grant writer

Here’s what that actually does. Out of the box, Claude and ChatGPT are generalists — brilliant, but they’ll write you a birthday poem, a Python script, and a grant proposal with the same could-be-anyone’s competence. Ask a raw chatbot to “write my grant” and you get confident, generic prose: no idea which funders are real, no read on the eligibility rules, no clue how this funder scores an application.

The moment you connect GrantOrb, that same chat window becomes a specialist. It knows your organization. It searches real, verified funding instead of inventing plausible-sounding names. It drafts against the funder’s actual criteria, section by section. It checks the finished draft the way a funder will. Every specialist feature we’ve built — search, ideas, drafting, validation, procurement — now lives inside the assistant you already talk to all day. You stop getting a generalist guessing at grants and start getting the winning proposal, in the chat.

Five minutes, no API keys, no tokens

GrantOrb now ships as a connector for AI assistants — built on MCP, the open standard that lets AI clients talk to real tools. It works with Claude, ChatGPT, Claude Code, Claude Desktop, and any client that speaks the standard.

Connecting takes under five minutes, and I was ruthless about this part. No API keys. No tokens to copy from a settings page and paste into a config file. You add the connector, a browser window opens, you sign in to GrantOrb and approve — done. The same sign-in flow you already know from every app on your phone.

If a step requires a developer, it’s not stupid simple. So there is no such step.

Then you just… ask

Once connected, GrantOrb’s full toolkit is available by talking:

“Find grants for our food security programs.” The connector kicks off a real search against your organization’s profile — the same verified, background search from your dashboard — and your assistant reports back with matches.

“Draft a proposal for the community foundation grant.” It builds the application, generates ideas, writes the draft section by section, and validates it against the funder’s criteria.

“Any government contracts worth bidding on this week?” It checks your Supplier Passport matches and gives you the verdicts — bid solo, team up, or skip.

You can also update your profile, review documents, mark grants you’re interested in, or send our team a support message — without leaving the conversation. If you work across multiple organizations, you pick which one you’re acting for, and everything stays cleanly scoped to it.

The details that make it feel effortless

Real work takes real time — a thorough grant search runs for several minutes; so does a full proposal draft. A naive integration would leave your assistant frozen, waiting, until the connection times out.

Ours doesn’t. Long jobs run in the background: the connector hands your assistant a task ticket, the assistant checks progress and picks up the result when it’s ready. You keep chatting. It’s the difference between a tool that technically works and one that feels like a colleague.

We also taught the connector to fail politely. When something goes wrong, your assistant gets a plain explanation it can act on — “reconnect your account,” not a wall of error codes. Small thing. Feels enormous in practice.

Why an open standard matters

We could have built a private plugin for one AI company. We chose the open standard instead, and it’s a values decision as much as a technical one.

Nonprofits get burned by lock-in constantly — priced-out licenses, discontinued tools, data held hostage. Building on MCP means GrantOrb works with the assistant you choose today and the one you’ll choose in two years. Your grant infrastructure shouldn’t depend on which AI company wins.

And this compounds. Your assistant already knows your context — the campaign you’re planning, the budget you’re wrestling with, the program you described three messages ago. When GrantOrb joins that conversation, you skip the re-explaining that eats the first twenty minutes of every new tool. The assistant that helped you shape the idea can now go find the money for it — in the same breath.

The bigger picture

Every feature we build follows one rule: meet people where they are, with the least possible friction. For years that meant a dead-simple web app. Now, increasingly, where people are is inside an AI conversation.

I want finding funding to feel like asking a capable friend — literally. Type “find me grants” into the assistant you already trust, and watch real, verified opportunities come back.

Set it up at grantorb.com/connect — it takes five minutes, and the first one is genuinely fun.

If you have any questions, reach out to me on LinkedIn.