Claude connectors (MCP)
MCP was created by Anthropic, and it is our core specialty: we design, build, and secure MCP servers that put your data inside Claude — and take them through Anthropic’s review to launch.
Anthropic Partner
Node8 builds MCP connectors for Claude, rolls out Claude for Enterprise, and trains engineering teams on Claude Code. MCP is Anthropic's protocol — and it's the thing we build most.
What We Build
MCP was created by Anthropic, and it is our core specialty: we design, build, and secure MCP servers that put your data inside Claude — and take them through Anthropic’s review to launch.
Deployment, permissions, and connector setup for organizations adopting Claude — plus the training and per-team workshops that make adoption stick.
Claude agents wired into real systems: Claude connected to Salesforce for revenue operations, finance Q&A bots in Slack, and reusable skills your teams keep extending.
Our 6–8-week engineering track moves teams from autocomplete to delegating scoped work to Claude Code — agentic coding, skills, and MCP workflows on real codebases.
In Practice
We built and launched a production MCP server for an investment research firm, serving proprietary research data to Claude and other assistants with authentication and role-based access. In training engagements, revenue operations teams connected Claude to Salesforce to automate repetitive CRM work, finance teams shipped a Claude-powered Q&A bot in Slack, and engineering teams adopted Claude Code through our 6–8-week track.
Why Node8
We build MCP servers for a living — data architecture, business logic, authentication, and marketplace approval — and document the patterns in our knowledge base.
Our own delivery work runs on Claude daily: agent workflows, GTM automation, and engineering with Claude Code. Training and implementation draw on that first-hand experience.
One MCP server we build for Claude also serves ChatGPT, Copilot, and other MCP clients — you get the Anthropic-native build with distribution everywhere.
FAQ
Node8 partners with the major AI platforms including Anthropic. We build MCP connectors for Claude, implement Claude for Enterprise, run Claude Code engineering enablement, and use Claude daily in our own delivery work — so implementation advice comes from practice, not documentation.
Yes — MCP connectors are our core specialty. We handle data and API architecture, business logic, authentication and role-based access, security review, and submission through Anthropic’s connector review. Most first implementations take 8–12 weeks.
Yes. We handle deployment and permissions, connect Claude to your systems over MCP, build the first agent workflows with each team, and pair the rollout with training and adoption measurement so usage is provable.
A hands-on engineering program on your real codebases: weekly working sessions, office hours, between-session assignments, and starter assets including reusable skills and agent patterns. Stability and change-failure rate are measured alongside throughput.
Usually both, for different jobs. Part of our training covers exactly this: when to reach for Claude versus ChatGPT versus Copilot. For connectors it rarely matters — one MCP server serves all major assistants — and for automations we benchmark models against your actual workload.
Whether it's a connector for your data, an enterprise rollout, or Claude Code for your engineers — we've shipped it before.