MCP: new enough to be exciting, old enough to create a sprawl problem. Tell me if this sounds familiar. One team spins up an MCP server. Then five more. All built differently of course! Nobody knows what's out there or who owns what. Yikes. Agents got flooded with tools they don't need and you accidentally spent a months worth of tokens in a day (and you can't even blame Fable). Shadow infra at it's finest! But now it's got AI speed, so it's like supercharged chaos. That's why we built a central gateway for all AI context. One place to enforce authentication and security for all your data and tools. One point of observability to see which tools are being used, by which agents, and at what cost.

The official Trello MCP server is live. Connect Trello to @claudeai, @OpenAI's ChatGPT, and more — then manage your boards, cards, and lists in plain language. No tab-switching. Try it 👉

Practices for Integrating AI Agents into Enterprise Systems 【MCP Gateway / Tool Federation】 💡 Catchy Message "5 agents x 10 SaaS products = 50 custom integrations. This multiplication nightmare is what the MCP Gateway eliminates." Every new agent and every new SaaS connection compounds integration cost. Tool definition sprawl, schema inconsistencies, and silent API breaking changes -- these problems demand an architectural solution. 🔥 Problems Solved - N (agents) x M (SaaS) integration cost explosion - Duplicate and inconsistent tool definitions across agents - Indirect prompt injection through tool I/O - Tool selection accuracy degradation when too many tools are exposed to an agent - Silent SaaS API changes (schema drift) causing agents to process incorrect data 🏗️ The Pattern Bundle each SaaS connector as an MCP (Model Context Protocol) server behind a gateway that manages tool discovery, authorization, call auditing, and scope control. Dynamically filter tool allow-lists by principal (department x agent type), exposing only the minimum necessary tools to each agent. Dangerous tools (delete, transfer funds, external send -- irreversible operations) get approval hooks. Tool definitions and API schemas are versioned as "contracts," periodically validated against live APIs to detect drift. Backward-incompatible drift triggers alerts and automatic tool deactivation as a fail-safe. ✅ When to Adopt - Use when: 10+ SaaS integrations. Multiple agents share common tools. Struggling with N x M integration complexity. - Skip when: Single-purpose agent with 2-3 fixed tools (direct integration is simpler and more robust). APIs are stable with extremely low change frequency. ⚠️ Pitfalls - Exposing 20-30+ tools to a single agent degrades tool selection accuracy. Use tool RAG for dynamic filtering or split into role-specific sub-agents. - Without contract testing (drift detection), you won't notice SaaS API changes until agents silently process incorrect data. Salesforce field changes happen more often than you think. - Deferring MCP server authorization design leaves all agents with access to all tools -- an open invitation for misuse. 🛠️ Implementation Approach - Build MCP servers for each SaaS (Salesforce, ServiceNow, Jira, Slack, Box, etc.). Adopt official MCP servers where available; otherwise auto-generate tools from OpenAPI specs and wrap them as custom MCP servers. - Deploy an MCP gateway with a tool registry (catalog). Index all tools from each MCP server and configure allow-lists filtered dynamically by department x agent type. - Set up OAuth 2.1-based authorization with approval hooks. Attach approval gates (linked to P09 dynamic authorization PDP) to dangerous tools (delete, fund transfer, external send) so they never execute without human approval. - Build a drift detection pipeline using contract testing (Pact, etc.) and a schema registry. Run weekly reconciliation between tool definitions and live API schemas; auto-deactivate tools and alert on backward-incompatible changes. - Control per-agent tool exposure to under 20 using tool RAG or role-specific sub-agent splitting. Dynamically filter tools by intent to maintain selection accuracy. #AIAgents# #EnterpriseArchitecture#

The Injective AI Agent SDK is officially live. One command installs the stack and connects Cursor to Injective’s MCP server. Your agent can research the docs, query chain data, and execute onchain actions from the same workflow. Watch the setup below ⤵️

What changes when your coding agent can read the latest docs in real time? The Learn MCP Server brings Microsoft Learn directly into agent workflows, reducing guesswork and manual validation. Learn more:

Your error tracker should talk to your coding agent. The Better Stack MCP server gives Claude Code instant access to error details and can also resolve them. Watch a full demo of a real bug fix.

# Practical ways to use the Claude Agent SDK 🔌 Connect Playwright, databases, GitHub, and more to your agent via MCP for unlimited capabilities. MCP (External Tool Connections) connects external MCP servers (browsers, databases, APIs) to your agent via the Model Context Protocol. 📌 Title: Connecting External Tools with MCP 🔗 URL: 🧩 Overview Specify external MCP servers in `mcp_servers` via stdio / HTTP / SSE transports. Control tool access with `allowedTools` and inject credentials via `env` or `headers`. 🛠 How to use it Specify MCP servers in `mcp_servers` via stdio, HTTP, or SSE transports. For example, Playwright uses `{"command": "npx", "args": ["@playwright/mcp@latest"]}`, and Postgres injects credentials via `"env": {"DATABASE_URL": "..."}`. Control access with `allowed_tools=["mcp__postgres__query"]`. 🏗 Practical usage - Connect Playwright MCP and run "Open and describe what you see" for E2E testing or web scraping agents. - Connect a Postgres MCP server and ask "Daily signups for last week" — Claude auto-detects schema, generates SQL, and executes. Lock down with `allowedTools: ["mcp__postgres__query"]`. - Build GitHub Issue triage and auto-response bots with the GitHub MCP server. - Verify connection status at startup via `system/init` message's `mcp_servers[].status`. 💡 Use cases 🌐 Browser automation with Playwright 🗄 Natural language database queries 📋 Automated GitHub Issue triage ⚠️ Watch out `permissionMode: "acceptEdits"` does NOT auto-approve MCP tools. Use `allowedTools` wildcards (`mcp__github__*`) to safely whitelist specific servers. Default connection timeout is 60 seconds. #ClaudeAgentSDK# #AI#