AI Connectors Directory · Productivity

AI connectors for Productivity

760 connectors and apps are filed under Productivity across the ChatGPT and Claude directories, 24.1% of everything listed. All of them are on this page, with where each one can be reached and what document, task, scheduling, and collaboration tools typically expose to an assistant.

See all 760

760 connectors filed here

468 listed in ChatGPT

462 listed in Claude

170 on both marketplaces

The landscape

What Productivity looks like inside the assistants

At 760 connectors it is the largest bucket in the directory, holding 24.1% of everything listed. It is also where the taxonomy is loosest: the biggest bucket absorbs the listings whose publisher did not pick a sharper heading.

Of those, 468 listed in the ChatGPT apps directory and 462 in the Claude connectors directory. 170 products appear in both.

The default bucket on both marketplaces. Document, task, calendar, and workspace tools dominate it, but it also absorbs anything whose publisher did not pick a sharper heading. Tool surfaces here are usually CRUD-shaped: create a record, find a record, update a record, list what changed.

Among the 462 with a Claude listing, the median publishes 12 tools against a Claude-directory median of 11. Node8 verified 66 endpoints in this bucket first-hand against the live server.

What to build

What document, task, scheduling, and collaboration tools put in front of an assistant

Create, read, update, and search against a workspace the user already pays for

Cross-object search that spans documents, tasks, and comments

Status and assignment changes written back to the source system

Summaries that pull from live data rather than a pasted document

Deepest Claude tool surfaces here

ADITUS Evo · 255 published tools
Great Arrow Digital · 249 published tools
Apaleo · 206 published tools
Kantata OX Expertise Engine · 177 published tools
Plane · 139 published tools

The same MCP server serves ChatGPT, Claude, and Microsoft Copilot. You build the tools, the authentication, and the permission model once, then decide which surfaces to distribute to. See where an MCP server can be distributed for how the platforms differ.

The full list

Read and post journal entries in Money Forward Cloud Accounting

Claude

Reading this data

What the category column does and does not tell you

Categories come from the marketplace listings themselves, mapped onto one shared set, and at row level they are noisy: connectors are filed by their publisher, and plenty sit under a heading that does not describe the product well. Treat the grouping as a way to navigate the directory, not as a market segmentation.

The solid facts on these pages are the marketplace listings themselves (where each product is listed, what it declares, and its verification tier) plus the tool counts Node8 measured directly against live endpoints. The comparisons built from them are Node8's.

FAQ

Productivity connector questions, answered

How many AI connectors are there for Productivity?

760 connectors and apps were filed under Productivity across the ChatGPT and Claude marketplace directories as of August 2026, 24.1% of the 3,150 products in this directory. Every one of them is on this page.

What does a connector in the Productivity category actually do?

It connects a company's existing system to an AI assistant through an MCP server, so a user can ask about that company's data or trigger an action in conversation. In this category that usually means create, read, update, and search against a workspace the user already pays for, and cross-object search that spans documents, tasks, and comments.

How deep are Productivity connectors?

Among the 462 with a Claude listing, the median publishes 12 tools, against a Claude-directory median of 11. The deepest here is ADITUS Evo at 255 published tools. Tool count is the closest available proxy for how much of a product is actually reachable from the assistant.

Does the same connector work in ChatGPT, Claude, and Copilot?

Largely, yes. MCP is a shared protocol, so one well-built server can serve ChatGPT, Claude, Microsoft Copilot, and other MCP clients. What differs is the listing and review process for each platform, plus some presentation details. Building for one and distributing to the rest is the usual sequence.

How long does it take to build and list one?

Most first connectors take eight to twelve weeks from kickoff to a live listing. The build itself is rarely the long pole. Deciding which data to expose, getting the underlying APIs into shape, and passing security and platform review are what set the timeline.

What does it cost?

Cost tracks scope: how many systems the connector reaches, how much work the underlying APIs need, and what the security requirements are. A single-source, read-only connector is a materially smaller project than one that writes into production systems across several backends. Node8 scopes this in a discovery session before any build commitment.

Keep browsing

Other categories

Finance (363)Other (351)Business Operations (347)Data & Analytics (260)Travel (232)Developer Tools (188)Education & Research (130)Healthcare & Life Sciences (101)Entertainment & Media (95)Sales & Marketing (94)Creative & Design (92)Communication (44)Commerce & Shopping (35)Legal (33)Security (17)Nonprofit (8)

The ChatGPT apps directory The Claude connectors directory

Put your data where the questions are being asked

Node8 builds the MCP server, secures it, and takes it through review, so your data is reachable inside ChatGPT, Claude, and Copilot. Most first connectors ship in eight to twelve weeks.

Build your connector