Mcp servers
We track 16 posts about Mcp servers from 9 engineering blogs. Most active: Pamela Fox, Atomic Object, Evil Martians. Latest post: Oct 8, 2026.
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Manage RHEL with MCP servers and Red Hat Lightspeed (opens on the source site)
Red Hat ·
At the 2026 Red Hat Summit, we offered a hands-on lab titled "AI-powered Red Hat Enterprise Linux management: Get hands-on with Model Context Protocol (MCP) servers for Red Hat Lightspeed, Satellite, and Red Hat Enterprise Linux." The post Manage RHEL with MCP servers and Red Hat Lightspeed appeared first on Red Hat Developer.
Building Production MCP Servers in TypeScript (opens on the source site)
Learn how to architect, deploy, and maintain a resilient, stateful Model Context Protocol (MCP) server in TypeScript that handles reconnects, long-lived tool sessions, and schema validation without leaking memory or crashing agent sessions. Continue reading Building Production MCP Servers in TypeScript on SitePoint.
Atomic Object on AI: MCP Servers (opens on the source site)
Atomic Object Raleigh has several ongoing projects, all of which involve varying degrees of AI-assisted coding, as well as some creating agentic applications. Recently I asked other engineers in our office to share their thoughts on Model Context Protocol (MCP) Servers. MCP is a standard that lets AI tools connect to third-party systems (such as […] The post Atomic Object on AI: MCP Servers appeared first on Atomic Spin.
Building safe MCP servers for your PostgreSQL database (opens on the source site)
Model Context Protocol (MCP) is an open protocol that describes how agents can connect to external tools and data sources, and is now widely supported by the most popular coding agents (like GitHub Copilot, Claude Code, and Codex) and agent frameworks (like LangChain and Pydantic AI). If you want to give agents a standard way to access the data in a database, you can build your own MCP server and expose tools for the agent to query or even modify data. But you need to design your MCP server carefully, to ensure that agents can do everything that users want - but nothing that you don't want…
Building safe MCP servers for your PostgreSQL database (opens on the source site)
Model Context Protocol (MCP) is an open protocol that describes how agents can connect to external tools and data sources, and is now widely supported by the most popular coding agents (like GitHub Copilot, Claude Code, and Codex) and agent frameworks (like LangChain and Pydantic AI). If you want to give agents a standard way to access the data in a database, you can build your own MCP server and expose tools for the agent to query or even modify data. But you need to design your MCP server carefully, to ensure that agents can do everything that users want - but nothing that you don't want…
Deploy MCP Servers on AWS Lambda with Serverless Framework v4 (opens on the source site)
Serverless Framework v4.41.0 deploys MCP servers to AWS Lambda in a few lines of YAML - a real HTTPS endpoint, response streaming, and pay-per-request pricing.
Most MCP servers don't need to exist. Your case might be an exception. (opens on the source site)
An MCP server is a product interface for the age of agents, not an AI feature itself. This post presents a framework for deciding between direct API calls, CLI, Skills, and MCP, detailing the architectural signals, the hidden costs, and the failure modes you should know about before embarking on an MCP quest.
Building MCP servers with Entra ID and pre-authorized clients (opens on the source site)
The Model Context Protocol (MCP) gives AI agents a standard way to call external tools, but things get more complicated when those tools need to know who the user is. In this post, I’ll show how to build an MCP server with the Python FastMCP package that authenticates users with Microsoft Entra ID when they connect from a pre-authorized client such as VS Code. If you need to build a server that works with any MCP clients, read my previous blog post. With Microsoft Entra as the authorization server, supporting arbitrary clients currently requires adding an OAuth proxy in front, which increases…
Building MCP servers with Entra ID and pre-authorized clients (opens on the source site)
The Model Context Protocol (MCP) gives AI agents a standard way to call external tools, but things get more complicated when those tools need to know who the user is. In this post, I’ll show how to build an MCP server with the Python FastMCP package that authenticates users with Microsoft Entra ID when they connect from a pre-authorized client such as VS Code. If you need to build a server that works with any MCP clients, read my previous blog post. With Microsoft Entra as the authorization server, supporting arbitrary clients currently requires adding an OAuth proxy in front, which increases…
A Primer: MCP Servers and the Model Context Protocol (opens on the source site)
Navigating ChangeThe way we interact with software is shifting. Instead of clicking through web interfaces and learning different UIs for each system, some people are moving toward natural language as the interface - telling an AI what they want done, and it handles the task completion for them. This shift is happening now, but there's been a missing piece: how does the AI actually connect to and control those systems? MCP DefinedMCP (Model Context Protocol) is an open protocol that gives AI models a standardised interface to external tools and data sources. Think of it as a USB-C for AI -…
Using on-behalf-of flow for Entra-based MCP servers (opens on the source site)
In December, we presented a series about MCP, culminating in a session about adding authentication to MCP servers. I demoed a Python MCP server that uses Microsoft Entra for authentication, requiring users to first login to the Microsoft tenant before they could use a tool. Many developers asked how they could take the Entra integration further, like to check the user's group membership or query their OneDrive. That requires using an "on-behalf-of" flow, also known as "delegation" in OAuth, where the MCP server uses the user's identity to call another API, like the Microsoft Graph API. In…
Using on-behalf-of flow for Entra-based MCP servers (opens on the source site)
In December, we presented a series about MCP, culminating in a session about adding authentication to MCP servers. I demoed a Python MCP server that uses Microsoft Entra for authentication, requiring users to first login to the Microsoft tenant before they could use a tool. Many developers asked how they could take the Entra integration further, like to check the user's group membership or query their OneDrive. That requires using an "on-behalf-of" flow, also known as "delegation" in OAuth, where the MCP server uses the user's identity to call another API, like the Microsoft Graph API. In…
Writing MCP servers in Clojure with Ring and Malli (opens on the source site)
Latacora ·
Introduction # Large language models, agents, and Model Context Protocol (MCP) are impossible to escape in today’s tech climate. At Latacora, we take a thoughtful and pragmatic approach towards new technologies like these. Are they going to solve all the world’s problems? No. Is it important that we understand them and be able to build software that integrates into emerging ecosystems? Yes! Internally we’ve built a MCP server to query our Datomic databases using natural language, but now we’re open sourcing the underlying Clojure library so others can easily build robust MCP servers for the…
Filter the tools from MCP servers (opens on the source site)
What I like about MCP servers: they give me lots of great tools that can make my agents more powerful, with very little work on my side. 🎉 What I don't like about MCP servers: they give me TOO many tools! I usually only need a handful of tools for a task, but a server can expose dozens. 😿 The problems with too many tools: LLM confusion. The LLM will be presented with the tool definition for every single tool in the server, and it needs to decide which tool (if any) is the best for the job. That's a hard decision for an LLM - it's always better to make it easier for the LLM by narrowing the…
Filter the tools from MCP servers (opens on the source site)
What I like about MCP servers: they give me lots of great tools that can make my agents more powerful, with very little work on my side. 🎉 What I don't like about MCP servers: they give me TOO many tools! I usually only need a handful of tools for a task, but a server can expose dozens. 😿 The problems with too many tools: LLM confusion. The LLM will be presented with the tool definition for every single tool in the server, and it needs to decide which tool (if any) is the best for the job. That's a hard decision for an LLM - it's always better to make it easier for the LLM by narrowing the…
PayPal Begins Rollout of MCP Servers to Accelerate Agentic Commerce (opens on the source site)
Paypal ·
The following is a repost from the PayPal Developer Blog by Prakhar Mehrotra, SVP of Artificial Intelligence, PayPalAt PayPal, we strive to make it easier for developers to access our services. Today, we are taking the first step to allow developers to embrace the new paradigm of agentic commerce by adopting the Model Context Protocol (MCP) and placing our services on an MCP server. This puts the power of generative AI at our merchants’ fingertips.MCP is a standard put forward by Anthropic that is being adopted by the world’s leading AI companies to help standardize the way agents access data…
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This page is generated automatically from the engineering blogs we follow. Every post links to its source, where it was published. See all sources.