Coworker MCP

Your org's context, inside every AI tool

100+ tools, org memory, team context, and your Coworker agents – all inside Claude Code, Cursor, or any MCP client.

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Coworker MCP

mcp.coworker.ai
I'm fixing the payment timeout bug. Pull the customer reports from Slack and the Jira tickets so I have full context before I write the fix.
Works Everywhere

Plug context into the tools your team already uses

Coworker MCP works with any tool that supports the Model Context Protocol. No switching apps, no copy-pasting context.

Claude Code
Claude Code
Cursor
Cursor
ChatGPT
ChatGPT
Windsurf
Windsurf
1st-Party Apps
1st-Party Apps
Any MCP Client
Any MCP Client

Plus any tool that supports the Model Context Protocol

Why Coworker MCP

Deep context. Any tool.

Zero setup.

Not just data – organizational memory, team structures, learned workflows, and dedicated agents. All accessible through a single MCP connection to any AI tool your team uses.

Unified context

One connection, every app

Instead of building separate integrations for each data source, Coworker MCP gives your AI tools a single pipe to 100+ connected apps. Slack, Jira, Salesforce, GitHub, Google Drive – all searchable from one place.

Instant recall

Sub-second search across everything

Your AI tools can query meetings, tickets, deals, docs, messages, and code – with the speed and relevance of a teammate who remembers everything. No context windows wasted on copy-paste.

Agent access

Call dedicated agents from any tool

Go beyond search. Invoke Coworker's specialized agents – each with scoped data access and domain understanding – directly from Claude Code, Cursor, or any MCP-compatible client.

Context in every tool

See it in action.

Ask from Claude Code, Cursor, or ChatGPT – Coworker searches across your connected tools and returns actionable context via MCP.

100+ Connectors

All your context, one connection

Slack, Jira, Salesforce, GitHub, Google Drive, and 100+ more – all searchable from any MCP-compatible AI tool through a single connection.

Slack
Salesforce
Jira
Google Drive
Notion
GitHub
HubSpot
Confluence
Gmail
Linear
Zoom
Figma
Stripe
Datadog
Asana
Slack
Salesforce
Jira
Google Drive
Notion
GitHub
HubSpot
Confluence
Gmail
Linear
Zoom
Figma
Stripe
Datadog
Asana
Google Calendar
Google Sheets
Google Meet
Snowflake
PagerDuty
ServiceNow
Workday
SAP
NetSuite
Microsoft 365
BigQuery
Amplitude
ADP
VS Code
Chrome
Google Calendar
Google Sheets
Google Meet
Snowflake
PagerDuty
ServiceNow
Workday
SAP
NetSuite
Microsoft 365
BigQuery
Amplitude
ADP
VS Code
Chrome

100+ OAuth connectors – no engineering required

Enterprise Ready

Secure by design

Same login, same permissions

Uses your existing Coworker login and SSO. No new credentials, no security exposure.

Read-only by default

MCP tools are search and retrieval only. No write access, no risk of unintended changes.

Nothing to build

Coworker already has 100+ connectors built. Your team doesn't need to build or maintain their own MCP server.

Gated and controlled

MCP access is enabled per-customer by your admin. Full visibility into usage.

Connect your AI tools to everything your team knows

Set up Coworker MCP in minutes. No credit card required.

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FAQ

Frequently asked questions

Coworker MCP is a Model Context Protocol server that exposes your company's data and workflows to any MCP-compatible AI tool. This lets Claude, GPT-4, Gemini, Cursor, and other AI assistants query your Slack, Jira, Salesforce, and 100+ connected tools in real time.

Coworker MCP works with any MCP-compatible client including Claude Code, Cursor, ChatGPT (with plugins), Windsurf, and custom applications built via the MCP standard.

Yes. Coworker MCP access is included in all plans. Enterprise customers also get REST API access for custom programmatic integrations. MCP setup typically takes under 30 minutes.

Yes. All MCP queries respect your existing permission model. Users only access data they're already authorized to see. Coworker is SOC 2 Type II certified and GDPR compliant. No data is stored by third-party AI providers.

MCP setup typically takes under 30 minutes. Configure the endpoint in your AI tool's settings, authenticate with your Coworker credentials, and your AI immediately has access to your connected tools and organizational knowledge.