Already using Claude, Copilot, or ChatGPT?
Connect BlueNexus.

One MCP endpoint that gives your existing AI client — Claude, Copilot, ChatGPT, Cursor, n8n, OpenClaw — access to every service your user has connected. No per-service MCP server. No extra setup. 100+ connectors out of the box.

Pick your AI client → Read the docs ↗

Pick your AI client.

Each install takes about five minutes. Same endpoint everywhere.

Claude

Claude

Claude Desktop & Claude.ai. Your agent + connectors as MCP tools.

 ChatGPT

ChatGPT

Inside ChatGPT via the MCP integration surface.

 Copilot

Microsoft Copilot

Connect non-Microsoft data to Copilot for M365 agents.

Salesforce

On AgentExchange. Bring non-Salesforce data into Agentforce.

 n8n

n8n

Workflow integrations with 100+ connectors via one MCP node.

 OpenClaw

OpenClaw

The OSS Claude-Desktop alternative. Same install pattern.

 MCP

Any MCP client

Cursor, Zed, Sourcegraph, the SDK — anything that speaks MCP.

Building an AI-native product that needs this for end users? Read the developer docs ↗

One endpoint. Every connector. Per-agent scope.

One endpoint, every AI client.

Connect your services to BlueNexus once. Every MCP-speaking AI client picks them up — without you running an MCP server per service.

100+ verified connectors + BYO MCP.

Slack, Salesforce, GitHub, Notion, every Google and Microsoft surface, every wearable platform, every CRM. Plus your own — connect any external MCP server, or request a connector and we'll build it if there's demand. See the full library →

Per-agent OAuth scoping.

The same user can connect the same provider with different scopes for different agents. Agent A gets read-only access; Agent B gets write. Least privilege at the OAuth grant, not at LLM behaviour.

Plug in. Don't replace.

Your team's already using Claude. Your CISO already approved Copilot. Your devs already use Cursor. We don't ask you to rip any of that out. Universal MCP is the layer that gives your existing AI tooling access to your actual data — and your agents on BlueNexus appear inside those tools as MCP tools your team can call.

Building your own agents on top of all that? Build an agent →

The trust details developers ask for.

OAuth scope-exact matching.

Connectors only get the scopes you explicitly grant. Refresh-token rotation; revocation enforced server-side.

Sandboxed per-provider execution.

Every connector call runs in an isolated sandbox. One connector misbehaving can't reach the others.

Session-per-request auth.

No shared MCP server state across users. Prompt-injection scanner runs on every tool call: critical/high block, medium audit.

Confidential compute

See the full security drill-down →

Where to next?

Setting up for yourself

Pick your AI client above and follow the install steps. Browse clients ↑

Building an AI-native product

Embed BlueNexus into your product via the developer API. Read the docs ↗

Building agents on BlueNexus

Start with the wizard — working agent in 20 minutes. Go to /build/ →

Enterprise security review

Per-agent OAuth scoping, audit logs, confidential compute. See /security/ →

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Two ways in. Free to start.

Build your own in the wizard, or find one an expert already shipped.

Build an agent → Find an expert agent ↗