The full API, in your AI's hands. Done right.
Not the slice a vendor chose to expose. Every operation the API allows, working the moment you connect: reads run free, every write asks first, and you can turn off anything you never want touched.
22 systems at full API surface, counted from their own specs. Verified systems live in under 15 minutes, and the 14-day trial takes no card. Works with Claude, ChatGPT, and any MCP client.
Connect now. Live in minutes.
We provision it from their published API spec, or the docs link you paste.
Payroll data. Compliance conversation first.
We never say unsupported. If it has an API, you get a yes.
The reply is written. It never sends.
Your AI writes the reply. Then it sits in your drafts. The Read and write badge on the connector you already have records what the vendor chose to expose, not what the API can do. You get what the API allows.
Where the native connector is already enough
Sends messages, schedules them, creates canvases. Complete.
Manages events, recurrences and attendees end to end. Complete.
Neither has a gap worth paying us to close. If that is all you need, use them: they are free and they are good.
Three verdicts. Zero dead ends.
If it has an API, you get one of three paths forward.
The only hard disqualifier is the absence of an accessible API, and even that routes to a useful answer.
From a sentence to a working connector
You never read API docs, manage tokens, or touch a line of code.
- 01
Name your software. Any software.
One search box, resolved against our verified catalog and connector index. Nothing found? Paste an API docs URL.
A 30-second eligibility check first confirms your AI client can accept a custom connector URL. Nobody pays first and hits a wall later.
- 02
Say what you want it to do, in a sentence.
“Full read and write for customers, orders, and fulfillment, but never delete or refund anything.” As broad or as narrow as you want: your words become the brief, you review the tool list it produces, and the safety layer does the protecting.
- 03
Review your Blueprint, then paste one URL.
Your Blueprint splits the tools into Read and Write, every write asking first before it runs, destructive ones flagged and held to dry-run. Pick who it acts as, paste your URL, and the live test panel confirms it.
Machine-built connectors carry a provenance badge: built from an API spec and validated, or built from docs and human-reviewed.
- get_duplicate_contact
- get_all_tasks
- get_task
- get_appointments_for_contact
- get_all_notes
- + 33 more
- search_contacts_advanced
- create_task
- update_task
- delete_taskdestructive
- update_task_completed
- + 71 more
Write access your IT team will actually approve
Full access is only sellable because of the guardrails. Safety is not a feature here; it is the product.
Every operation ships as a toggle, working from the first minute. Reads run free. Every write asks first, pausing on a preview of the exact change until you approve it. Destructive operations demonstrate in dry-run and never execute until you graduate them. Turn off anything you never want your AI to touch.
Four things this connector cannot do to you
- It cannot change anything without asking you first. Every write pauses on a preview of the exact change and runs only when you approve it.
- It cannot execute a destructive operation. Those demonstrate in dry-run and never execute until you graduate them from your dashboard.
- It cannot act without leaving a record. The log is append-only; the database itself refuses edits.
- It cannot keep going after you say stop. Pause is one click, instant, across every connection.
send_email
Claude wants to send this from your account:
Gmail's own connector cannot send this at all. It writes the draft and stops. Here it sends, and it asks first, showing every recipient before anything leaves. This flow has run for real against a live system: the first documented run, with production log rows.
We have no customer stories yet. Here is what we will trade for yours.
Everything else on this page you can check for yourself: the native connector limits are cited to the vendors' own docs, and /proof is a real confirmed write with real timestamps. What we cannot show you yet is somebody like you saying it worked.
10 pilot builds, free, in exchange for a written case study.
We build your connector. You run it free for 90 days. At the end you tell us honestly what happened and we publish it, including the parts that did not go well. If it turns out badly for you, we would rather know than sell the next person a story.
Claiming is self-serve: name your software and deploy. No email, no call.
A live connector for your software, built and maintained, free for 90 days. No card.
A written account at the end, and permission to use your name and company alongside it.
Anyone whose AI keeps stopping one step short in a system that matters to them.
Your Blueprint is one sentence away.
Every tool the API allows for your software, split into reads and writes, free to see. No card.
Guardrails are set once at the connector level and inherited by every member. Members cannot loosen them.
One connector, a personal identity for every teammate
Per-person identity is the default wherever the upstream supports it.
Every action is truthfully attributed
Each teammate authenticates as themselves and gets a personal connector URL. When Maria's AI updates a record, the audit trail says Maria.
Nobody can exceed their own permissions
Every call runs on that member's own credential. The AI can never do more than the person invoking it.
Join in three steps, offboard in one click
Members join from a forwarded invite link with Google or Microsoft sign-in. Revoking one person kills their URL and destroys their credential instantly.
Maintenance is the product
Everything else is the demo. Anyone can generate an MCP server today; nobody wants to own the two permanent sources of breakage that come after.
Upstream APIs change
Vendors rename fields, deprecate endpoints, and change auth without asking you. When that breaks a tool, it fails with a clear error instead of a silent wrong answer, and we ship the fix centrally, to every customer at once.
The MCP protocol itself changes
MCP ships breaking revisions on a formal schedule, so a DIY server is a recurring migration obligation. Every megamcp connector runs on one shared engine: a protocol upgrade ships once and covers yours automatically.
No catalog cap, no vendor cap
Catalogs cap which software you can connect. Native connectors cap what you can do once connected. megamcp is bounded by one thing only: whether the software has an accessible API.
| The native connector | Zapier, Make, MCP catalogs | megamcp | |
|---|---|---|---|
| Does it cover your software? | Only if the vendor built one. | Only if it is in the catalog. | Any software with an accessible API. |
| What can it actually do? | The slice the vendor chose to expose. | Generic actions, same for everyone. | Everything the API allows, shaped to your job. 22 systems already at full surface, counted from their own specs. |
| Whose workflow is it built for? | Everyone's, so nobody's. | Everyone's. | Yours. Every write asks you before it runs, and you turn off anything you never want touched. |
| Write safety | Vendor-defined, org-wide toggle. | A checkbox, if present at all. | The product: previews, field constraints, graduated trust, audit log. |
| Who acts in your systems | Each person, correctly, under their own permissions. | Typically one shared credential. | Every member under their own identity, truthfully audited. |
| When it breaks | Wait for the vendor. | Your problem, or a ticket. | Fixed centrally, for every customer at once. |
Native connector scopes change. Microsoft 365 was read-only until 7 July 2026. We re-verify these claims and date them rather than leaving them to rot: last checked 2 August 2026.
Find yours among 302 systems
Two tiers, both honest. 22 systems run at full API surface, their tool counts measured from the vendor's own spec. Every other entry still gets a real answer: verified and ready now, buildable through the provisioning pipeline, or routed to a human who can actually do it.
One flat price per connector
No metering: your bill does not grow because your AI got busy. A niche system costs the same as a household name.
Pay annually and get two months free ($66 and $124 a month). Running several? From your third connector, standard connectors drop to $59/mo automatically. And the first 25 builds of software we do not already have on file carry the launch guarantee: live in 5 business days or your first month is free. Full pricing and FAQ
What operators ask first
Will it cover my software?
If it has an accessible API, yes. 22 systems already run at full API surface, their Blueprints built from the vendor's own spec with the tool count measured from that build. Popular systems are pre-verified and live in minutes; long-tail systems with a spec or docs are provisioned same day to 72 hours; systems with no accessible API route to our human-led done-for-you team. No request gets the answer "unsupported."
Do I need a developer?
No. You describe the job in plain language, review the tool list, and paste one URL into your AI client. A 30-second eligibility check runs first so you never pay and then hit a wall.
Why not just use the free native connector?
If Slack or Google Calendar is all you need, use the native connector: those are complete, free, and good. For most other systems the native connector caps what you can do. Gmail's cannot send the reply it drafts. Yours is built from the job you described, so it reaches everything the API allows.
What if I need more than I asked for later?
Nothing to come back for: your Blueprint carries every tool the API supports, working from the first minute, not just the ones you named. Turned something off and want it back? Flip the toggle from your dashboard, and if it needs wider access than the original grant, the connector requires a fresh consent before it works.
Is it safe to give an AI write access?
Every write asks first: it pauses on a preview of the exact change and runs only when you approve it. Destructive operations demonstrate in dry-run and never execute until you graduate them, and you can turn off anything you never want your AI to touch. The activity log is append-only, and pause is one click. The full model is on the security page, and the first documented run is at /proof.
What happens when the vendor changes their API?
When an upstream API changes, the affected tools fail with a clear, typed error instead of a silent wrong answer, and we ship the mapping fix centrally, to every customer at once. That maintenance is what the subscription is.
Which AI clients does it work with?
Claude, ChatGPT, and any client that accepts a remote MCP connector URL. The eligibility check confirms your specific client and plan before you commit to anything.
Name your software. We take it from there.
Describe the job and see your Connector Blueprint before you pay anything. Then start a 14-day trial: live reads plus 3 supervised writes.