Airtable MCP: cross-source AI agents for ops and product
Airtable AI chats with your tables. Airtable Cobuilder builds lightweight no-code AI apps on top of bases. Peliqan’s MCP joins Airtable data to the rest of your business stack. Run them side by side – they don’t compete, they layer. This is the practitioner’s guide to Airtable MCP in 2026, covering Airtable’s official MCP server, […]
Slack MCP: cooperative architecture for Claude agents
Slack AI summarises your channels. Anthropic’s native Slack integration lets Claude post in Slack. Peliqan’s MCP joins Slack activity to the rest of your business data. Run all three side by side – they don’t compete, they layer. This is the practitioner’s guide to Slack MCP in 2026, covering Slack’s own official MCP server, Anthropic’s […]
MCP for the CFO: one AI agent across finance
MCP for the EU CFO is the integration pattern that lets a single Claude conversation span every system in the finance stack. In 2026, the office of the CFO is shifting from copilot pilots to autonomous agent deployments. However, most enterprise AI tools target developers, not finance leaders. This is the practitioner guide for the […]
EU AI Act and MCP: Article 26 deployer rules for 2026
The EU AI Act’s high-risk obligations, including Article 26 deployer duties, become applicable on August 2, 2026 under the current legal text. The 7 May 2026 Digital Omnibus on AI provisional agreement will likely defer those dates to December 2027 and August 2028. Either way, anyone running an AI agent that calls MCP servers for […]
Brevo MCP: connect Claude to your EU marketing stack
Brevo MCP is the integration layer that lets AI agents like Claude, ChatGPT, and Cursor query and act on your Brevo email, SMS, WhatsApp, marketing automation, transactional, and CRM data. Brevo shipped its own MCP server in 2026 as part of the €50 million Brevo AI Lab initiative, and that’s the right answer for in-Brevo […]
Cross-source MCP: joining MCP servers in one SQL query
Cross-source MCP is the architectural pattern that lets an AI agent answer questions that span two, three, or seven business systems in a single SQL query – not by orchestrating calls to seven different MCP servers, but by joining their data inside one governed warehouse. It’s the difference between “Claude can read Salesforce” and “Claude […]
Zendesk MCP: AI agents for churn-risk and customer success
Zendesk MCP is the integration layer that connects Claude and other AI agents to Zendesk ticket, organisation, user, and macro data. Furthermore, multiple Zendesk MCP servers shipped in 2025 and 2026, including the free Swifteq build, the Composio Zendesk toolkit, and Speakeasy-generated options. However, Zendesk’s own native AI (Advanced AI with Intelligent Triage and Smart […]
Business Central MCP: AI agents for Dynamics 365 BC
Business Central MCP is the integration layer that lets Claude, ChatGPT, and Cursor read and act on Microsoft Dynamics 365 Business Central data. Microsoft shipped MCP server support as part of the 2025 Wave 2 release, with rolling updates through March 2026. However, the native MCP only speaks BC. For cross-source questions that span BC […]
Klaviyo MCP: AI agents for e-commerce revenue
Klaviyo MCP is the integration layer that connects Claude and other AI agents to Klaviyo’s email, SMS, push, and predictive analytics data. Importantly, Klaviyo shipped its own native MCP server in partnership with Anthropic, giving Claude direct access to nearly 200,000 brands’ marketing data. However, the cross-source question – “which Klaviyo campaign actually drove Stripe […]
Notion + Claude: the cooperative MCP architecture
Try this Monday morning question on your current AI stack: “Show me every Salesforce deal worth more than $1 million where the customer has a Notion architecture-review doc attached, summarise the most recent doc, and flag any open concerns.” Most AI agents can answer half the question. Notion’s own MCP server retrieves the doc beautifully […]