MCP server

2026-09-28

COMPANIES · 1 SOURCE · InfoQ AI, ML & Data Engineering

Forter presentation: how it trained 200 R&D staff to build AI agents in two weeks

At QCon AI, Forter principal engineer Ben Maraney described a two‑week internal sprint that gave ~200 R&D staff hands‑on experience building AI agents. The team lowered friction by running a custom MCP server, combining no‑code and code platforms, avoiding complex RAG setups, and coordinating with security and legal to speed adoption.

5.0

2026-09-25

COMPANIES · 1 SOURCE · Cohere

Cohere launches Compass Cloud as managed private beta

Cohere is offering Compass — its document parsing and retrieval platform for RAG, search, and agent workflows — as a managed cloud product called Compass Cloud, entering a limited private beta while continuing to support self‑hosted deployments for regulated customers. The managed service centralizes ingestion, indexing, embedding, retrieval, reranking, and permissions, and provides connectors (e.g., SharePoint, OneDrive, Google Drive), an MCP server, and a Python SDK to simplify enterprise deployment and reduce operational overhead.

6.0

2026-09-25

RESEARCH · 1 SOURCE · arXiv cs.AI

Skilder: role-scoped capability delivery for governing tool-using LLM agents (arXiv:2609.28693v1)

This arXiv preprint introduces skilder, a framework that packages skills, tools, and instructions into bounded roles delivered to LLM agents via a single MCP server; agents discover required roles and receive capabilities only through learned skills so the server can deterministically enforce access and limits. Evaluation across 13 tasks and six models (10 runs each) found that when agents completed the discovery protocol and issued governed calls, skilder's simulated authorization layer prevented unauthorized tool calls and parameter violations while still allowing dynamic cross-role capability acquisition.

7.0

2026-09-24

COMPANIES · 1 SOURCE · AWS Machine Learning

Amazon Bedrock: multi-account AI agent architecture using AgentCore Gateway and MCP

Amazon’s post describes a reference architecture for building multi-account AI agents that query data in-place across multiple AWS line-of-business (LOB) accounts without centralizing datasets. It shows how a central platform account can host agents and Bedrock inference while AgentCore Gateway (with MCP, AgentCore Identity, Policy in AgentCore/Cedar, and optional Okta auth) aggregates LOB MCP servers, provides unified tool discovery, authorization, observability, and applies Bedrock guardrails and RAG-backed knowledge retrieval.

6.0