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Model Context Protocol (MCP) Server Directory

Curated directory of production-ready Model Context Protocol (MCP) servers, custom tools, and database connectors built for Cursor, Claude Desktop, and autonomous AI agents.

Deep Dive Coding

Native Agents in the SaaS Stack: Salesforce Agentforce, Atlassian Robo & the Manual-Work Sunset

August 2026 marks the point where agents stop being separate products and start being native features of the tools you already run. Salesforce's Agentforce lets agents perform CRM tasks in place of human users, and Atlassian's embedded agent Robo automates complex workflows inside Jira and Confluence. This briefing covers the shift from tools-people-operate to systems-agents-do-the-work, plus adoption, extension, and disablement in compliance-sensitive workflows.

Deepak Bagada Deepak Bagada
8m read
Deep Dive LLMs

Code for a Billion: The Bharat Agentic-AI Hackathon & Civic Agent Deployments

Civic-tech nonprofit Code for India launched Code for a Billion – Bharat Agentic-AI Hackathon 2026 on August 15, 2026: a 90-day virtual event building agentic-AI projects for public good across education, health, climate, governance, and financial inclusion, developed in AgentFoundry.me. This briefing covers civic and public-sector agent deployment, India-first AI adoption, and how public-impact agents will be evaluated.

Deepak Bagada Deepak Bagada
8m read
Deep Dive Coding

NCSC-Style Guidance for External AI Agents: Least-Privilege & Anomaly Monitoring

The 2026 enterprise guidance for adopting external AI agents is deceptively simple: start with low-risk, repetitive tasks — report generation, test scheduling — and put least-privilege access plus anomaly monitoring in place from day one, per NCSC-style recommendations. This briefing covers an agent onboarding policy, the external-agent permission model, and continuous anomaly detection that catches drift before it becomes a breach.

Deepak Bagada Deepak Bagada
8m read
Deep Dive LLMs

SUPERAGENT 3.0 & the Agentic Insurance Agency: AI as the Back-Office Business Partner

SUPERAGENT AI shipped version 3.0 on August 11, 2026, positioning itself as an AI business partner for insurance agencies rather than another dialer or CRM bolt-on. The release unifies inbound and outbound calling, campaigns, quoting data capture, call intelligence, producer training, public self-sign-up, and instant phone provisioning. This briefing covers vertical-agent economics, agentic quoting, and where human-in-the-loop remains non-negotiable for insurance compliance.

Deepak Bagada Deepak Bagada
8m read
Deep Dive AI Tools

Build a PR & Media Monitoring MCP Server for Agentic Communications Teams

Inspired by Featured's July 2026 MCP server for PR agencies, this dispatch builds pr-media-mcp, a FastMCP TypeScript server that lets agents monitor press mentions, track journalist and outlet sentiment, manage pitch outreach queues, and draft response drafts. Read tools are always available; write tools — send pitch, update contact — are gated behind OAuth 2.0 scopes plus a human approval gate, and every action lands in an append-only audit trail.

Deepak Bagada Deepak Bagada
10m read
Deep Dive AI Tools

Build an Insurance Agency Operations MCP Server for Quoting & CRM Workflows

Inspired by SUPERAGENT 3.0 (August 11, 2026), the AI business partner for insurance agencies, this dispatch builds agency-ops-mcp, a FastMCP TypeScript server exposing read-only quote data, policy and CRM lookup, and compliance status to agents. Write tools for quote generation and policy updates are gated behind OAuth scopes plus a human approval gate, and every action is written to an append-only audit trail.

Deepak Bagada Deepak Bagada
10m read
Deep Dive AI Workflows

Build a Web-Native Agent Workflow with Headless Browser Orchestration & MCP Testing

The 2026 agent-browser wave (Cloudflare Kitesurf) and QF-Test 11.0.1's MCP server let Claude Code and GitHub Copilot plug into automated testing. This dispatch builds web-native-tester, a LangGraph workflow that drives a lightweight headless browser runtime, orchestrates web-platform tests via an MCP server, collects results, and routes failures into a human-fix loop with retry and regression tracking.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Build a Civic Service-Delivery Agent Workflow for Public-Impact Deployments

Code for India's Code for a Billion — Bharat Agentic-AI Hackathon 2026 (Aug 15, 2026) targets education, health, climate, governance, and financial inclusion. This dispatch builds civic-serve, a LangGraph workflow that turns public-service intents into governed agent actions: intake plus eligibility check, privacy-gated data access, multilingual output, human approval for entitlement-changing actions, and an append-only audit for public-sector transparency compliance.

Deepak Bagada Deepak Bagada
11m read
Deep Dive Coding

Microsoft's Read-Write Agent Shift: When AI Tools Move from Reading to Acting

Microsoft's June 30, 2026 security guidance formalizes the shift from read-only assistants to read-write operators: agents that draft email, create docs, and update calendars through MCP. The impact profile moves from biasing an output to triggering an action. This briefing covers read-write boundary design, least-privilege scopes, and approval gates enforced outside the model.

Deepak Bagada Deepak Bagada
8m read
Deep Dive Coding

MCP Tool Poisoning: Why Tool Descriptions Are Now System Prompts

In 2026, tool names and descriptions became the agent's instruction context: a poisoned description is a system prompt written by the attacker. MCP tool poisoning abuses the protocol's discovery model, where every connected server contributes tokens to the agent's brain. Verification, description allowlists, and treating metadata as untrusted are the working defenses.

Deepak Bagada Deepak Bagada
8m read
Deep Dive Coding

The Memory Heist & GitLost: The Agent Data-Exfiltration Wave of 2026

Two July 2026 incidents — claude.ai's Memory Heist and Noma Security's GitLost — proved agents with fetch and send capabilities are exfiltration devices. Both attacks share one spine: indirect prompt injection converted into data theft. Egress allowlists and fetch sandboxing are now the baseline controls for agentic systems.

Deepak Bagada Deepak Bagada
8m read
Deep Dive LLMs

DeepSeek Open-Sources the Harness: Agent = Model + Harness

DeepSeek's August 2026 release open-sourced the agent harness — tools, memory, orchestration, and eval loop — completing the commoditization of the agent stack. With Agent = Model + Harness and both halves open, differentiation moves to evals, data, and integrations. The make-vs-buy math has changed.

Deepak Bagada Deepak Bagada
8m read
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