MCP Rate Limits: A Practical Guide for Agent Builders

MCP rate limits are the single most common production failure mode for AI agents in 2026. Every Model Context Protocol (MCP) server you build will hit a throttle by the third or fourth Claude turn, and the question is not whether you will hit 429s – it is whether your architecture recovers gracefully or crashes […]
MCP for Odoo Partners: 50 clients, one cross-database MCP

“Across all 50 client Odoo databases, which clients have margin contraction in the last 90 days?” This is the standing partner-channel question every Gold or Silver Odoo Partner asks but cannot answer inside any single client’s Odoo database. None of the per-database MCP wrappers reach across the client book. This is the persona post for […]
MCP for the Belgian Accountancy Partner

“Across all 200 client environments, which Belgian Peppol invoices haven’t been acknowledged within 48 hours? Group by client and AccessPoint.” This is the standing partner-level question every Belgian accountancy firm has been quietly asking since the January 1, 2026 Peppol mandate went live. None of the per-vendor AI tools answer it. This is the persona […]
MCP for RevOps leader: cross-source AI agents

“Show me the top-100 customers by ARR with open Sev-1 Zendesk tickets where Stripe payments have failed twice in the last 60 days.” This is the Monday-morning question every VP of RevOps actually asks. Specifically, it spans Salesforce, Stripe, Zendesk, and product analytics in one breath. None of those vendor MCPs answer it alone. This […]
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 […]