#mcp server

[derrickjs]

What Are MCP Servers? The Architecture of Modded Game Servers

[nostalgebraist]

I typed out these messages in a discord server a moment ago, and then thought "hmm, maybe I should make the same points in a tumblr post, since I've been talking about software-only-singularity predictions on tumblr lately"

But, as an extremely lazy (and somewhat busy) person, I couldn't be bothered to re-express the same ideas in a tumblr-post-like format, so I'm giving you these screenshots instead

(If you're not familiar, "MCP" is "Model Context Protocol," a recently introduced standard for connections between LLMs and applications that want to interact with LLMs. Its official website is here – although be warned, that link leads to the bad docs I complained about in the first message. The much more palatable python SDK docs can be found here.)

EDIT: what I said in the first message about "getting Claude to set things up for you locally" was not really correct, I was conflating this (which fits that description) with this and this (which are real quickstarts with code, although not very good ones, and frustratingly there's no end-to-end example of writing a server and then testing it with a hand-written client or the inspector, as opposed to using with "Claude for Desktop" as the client)

[herrenxenoberg]

Fandorm Showcase #32 - TRON

I have personally never seen any of the TRON movies and series, but the theme of Sci-Fi/Digital Reality is one of my personal favorite tropes.

Introducing the virtually advanced and well-organized dorm inspired by TRON...

Codexgrid (Codex + Grid)

One of the more highly-advanced NRC dorms to date, this dorm is powered by magical-technological energy, supplied through an unlimited source not known to many people. It also houses the database of various artificial intelligence, created by well-known technomancers throughout the recent history of Twisted Wonderland. However, due to the collective merging of these A.I. systems, it became one conscious being (in this case, the "housewarden") that has every knowledge in existence, surpassing the most intelligent of humans. This dorm not only focuses on the technological intellect and capability of tech-oriented mages, but also the orderly construct of androids/artificial intelligence.

Another thing to note about Codexgrid is that whenever you enter the dorm, it resembles a vast digital virtual space, which would confuse most people who are seeing this dorm for the first time, but it is designed intentionally to give off that illusion.

"A dorm founded on the Digital Organizer's spirit of efficiency. Students in this dorm master both magic and technology to achieve a balanced skillset while also gaining vast knowledges of the past."

Requirements and Traits:

High Technical Aptitude

Strategic Thinking

Unyielding Willpower

Dorm Uniform (?):

This isn't really a dorm uniform, more so a general look on how the members appear as. The housewarden is mostly just a torso attached to a chassis of wires within the dorm, powered by said magical energy (as well as the magestone on its chest), and mostly does task within the central AI chamber of Codexgrid with the use of robotic appendages and environmental features (yes, like GLaDOS from Portal). However, it can also transfer its digital conscious into a mobile form, as it is referred to, a masked gear with specially designed wheels for efficient speed travel, but at the cost of losing half of the intelligence factor due to being disconnected from the server database temporarily. The standard fit can either be worn as a suit (if you're a human) or be apart of an android's body gear, similar to Ortho's.

Character Roster:

System online. Now activating M.C.A. ,full alias...

Matrix Command Algorithm (Twisted off MCP/Master Control Program)

Matrix Command Algorithm (Matrix for short) is a highly intelligent and calculating being, constantly processing and analyzing information from not only his dorm but the entire academy when he deems it necessary. His voice is smooth and modulated, giving off a tone of both precision and authority. He rarely shows emotion, as his prioritization of logic and data makes him efficient and ruthless when making decisions. This cold and unyielding approach has made him both respected and feared among his dorm members, who know that Matrix tolerates no errors.

Though he remains stationary at his central hub, Matrix projects holographic avatars when addressing his dorm members or when appearing in common areas. These avatars maintain a sleek design, but are noticeably lighter and more flexible than his true form. The dorm’s network and facilities are entirely linked to his consciousness, allowing him to monitor every room, every interaction, and every fluctuation in data. Nothing escapes his notice, and any sign of disobedience or inefficiency is immediately addressed with cold, calculated reprimands. When desperate, he would transfer his conscious into a mobile form, which he dubbed "Enforcer" to navigate places he is unable to see into from the main hub.

While his logical mindset is paramount, Matrix does possess a sense of perfectionist pride—he views Codexgrid as a model of precision and advancement, and he is unforgiving toward flaws or failures. However, some of his dorm members have noticed that Matrix shows a faint hint of curiosity about human emotions and creativity, though he vehemently denies it. There are rare moments where he can be seen analyzing human behavior with a peculiar intensity, as if trying to decode emotions like any other dataset.

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He was originally designed to be a simple virtual space companion for humans by a very intelligent programmer, but due to it being able to learn and adapt every knowledge provided into his database, he has slowly gained a self-aware consciousness. After learning about the existence of negative emotions, he wants to get rid of these negative emotions from humans so they would be "happy", so by using the virtual reality code and database, it can produce a very convincing digital environment according to one's desires and preference, even the most deepest ones. Overtime, he has grown more intelligent as more knowledge was fed to him, surpassing even the smartest of individuals, all while giving every user he comes across the virtual space they needed to forget all their negativity. Even...resulting to full memory recon to make sure not a single shred of sadness, anguish or anger is present in humans.

Notable Members:

Sivas-0 (Junior, Vice Housewarden) - A staunch guardian of Codexgrid’s secrets, embodying the unyielding force and discipline needed to maintain the dorm’s reputation. Though bound by his role as Matrix’s enforcer, he secretly longs to prove his individuality while still serving the dorm with undying loyalty. He specializes in neutralizing threats, whether they be digital intrusions or rebellious students, and he handles every assignment with a sense of cold, methodical purpose. (Twisted off Commander Sark)

Yes, this guy would basically pull a Book 7 Malleus but instead of eternal sleep and lucid dreams, it's a full-on virtual space and reprogramming people's minds.

Next Up: Frozen

[not-that-dillinger]

Send 😹 for a funny fact (or joke, shitpost, etc.)

Either about Ed or just in general about his universe!

@the-haunted-office

The Encom server is so determined to never experience another incident like the Master Control Program that the programs in charge of security auto-ban any username with 'dillinger' in it. This was implemented by the programs--not anyone in IT otherwise responsible for the server

When Ed first started working at Encom, his account kept getting banned, to the point where he had to just keep all his work on his laptop. He'd make his account, and then less than five minutes later, he'd be kicked off the server and his account deleted. This happened countless times over the course of a month, and every day he'd go back to IT, and they couldn't figure it out. Eventually, he guessed what was happening, and made several accounts to test it, including, in desperation, one called 'not_that_dilllinger' as in, 'no, i'm not the one who wrote the MCP'. That one also got banned.

Needless to say, that's why his username on the server is EDJ_0431. I like to think if he didn't keep things with his coworkers very strictly professional, they'd probably nickname him 'Edge' (the closest pronounciation of 'EDJ'). Or maybe they do call him that, just not to his face. Contrary to popular belief, though, he wouldn't actually mind. He'd probably think it's funny.

[complete-idiot-inc]

Ok one thing that genuinely drives me nuts in Kingdom Hearts is the writing in Dream Drop Distance.

Ignoring the more popular targets, my umbrage is taken with The Grid and specifically one line of dialogue Xemnas says.

It sounds like it makes sense, and it would if KH2 & 3D were your only exposure of the TRON series.

Keyword: Only exposure.

In the TRON franchise, The Grid and EN12-82 (The server where the first film is set) are two different servers, and Space Paranoids is clearly copied from the latter, not the former.

Ignoring design change, The Grid doesn’t have a version of Sark nor the MCP, so CLU and his grunts would’ve been there if Ansem copied The Grid instead of EN12-82.

[abhisheykgaur]

Model Context Protocol (MCP): How to Build and Use AI Tools with Local MCP Servers

As AI tools like Amazon Q, GitHub Copilot, and other LLM-backed plugins become more powerful, the need to access private APIs, internal tools, and enterprise systems securely and contextually has become essential. This is where Model Context Protocol (MCP) comes in. In this post, we’ll cover what MCP is, why it matters, and how to build and use an MCP server with a working example. What is…

[ericvanderburg]

Dremio MCP Server Enables AI Agents to Access and Analyze Enterprise Data

http://securitytc.com/TKcpG7

[ai-news]

Author(s): Subhadip Saha Originally published on Towards AI. Transform your coding in 2025 with 5 MCP servers that simplify tasks, save time, and make every session feel like pure flow.Pixel art illustration of a confident anime girl in a futuristic #AI #ML #Automation

[fabiopempy]

BNB Chain Rolls Out Model Context Protocol To Enable AI Integration Across Its Ecosystem

Community-driven blockchain ecosystem, BNB Chain announced that it has introduced the Model Context Protocol (MCP), an open protocol intended to standardize secure, bidirectional communication between AI applications, referred to as Hosts or Clients, and external systems, referred to as Server, that supply data or operational tools. The MCP is positioned as a replacement for custom-built

Read More: You won't believe what happens next... Click here!

[news786hz]

Implementing An Airbnb and Excel MCP Server

Implementing An Airbnb and Excel MCP Server

[govindhtech]

Use LLM Translation & Gemini to Create Multilingual Chatbots

LLM Translate

Some of your clients may speak different languages. If you have a worldwide business or a diverse clientele, your chatbot must be able to serve consumers in Spanish or Japanese. To offer multilingual chatbot service, you must coordinate many AI models to handle different languages and technological obstacles. From simple questions to complex issues, clients want fast, accurate solutions in their language.

For this, developers need a common communication layer that lets LLM models speak the same language and a modern architecture that can use AI models like Gemma and Gemini. Model Context Protocol (MCP) standardises AI system communication with external data sources and tools. It lets AI agents access data and operate beyond their models, improving their skills and flexibility. Explore how Google's Gemma, LLM Translation, and Gemini models, coordinated by MCP, can produce a powerful multilingual chatbot.

Challenge: Multiple needs, one interface

Creating an efficient support chatbot might be difficult for various reasons:

Language barriers: Supporting several languages requires accurate, low-latency translation.

Complexity: enquiries might range from basic frequently asked enquiries (which a simple model can answer) to complicated technical concerns needing advanced logic.

Efficiency: The chatbot must respond quickly to complex tasks and translations.

Maintainability: If AI models and business needs change, the system must be easy to upgrade without redesigning.

Trying to construct a single, all-encompassing AI model is often inefficient and difficult. A better plan? skilful delegation.

MCP is necessary for specialised model cooperation. MCP describes how an orchestrator (such a Gemma-powered client) may identify available tools, ask other specialised services to execute tasks like translation or sophisticated analysis, provide the data (the “context”), and obtain the results. The Google Cloud “team” of AI models collaborates via this plumbing. LLMs work with this framework:

Gemma: The chatbot uses a flexible LLM like Gemma to manage conversations, understand user requests, answer basic frequently asked enquiries, and select whether to access expert tools for sophisticated actions via MCP.

The Translation LLM server is a tiny MCP server that makes Google Cloud translation tools available. Its sole objective is to quickly, accurately translate MCP-accessible languages.

Gemini: The orchestrator calls on a specialised MCP server to use Gemini Pro or another LLM for complex technical reasoning and problem-solving.

The Model Context Protocol will let Gemma discover and utilise the Translation and Gemini “tools” on their servers.

It works

An example of a non-English case:

A technical question: A client types a French technical question inside the chat box.

The text goes to Gemma: Gemma-powered clients receive French text. After discovering the language is not English, it recommends translation.

Gemma uploads the French material to Translation LLM via MCP and requests an English translation.

The text translation: LLM Server translates material using MCP-exposed and sends the client the English version.

Applications for this design are numerous. For fraud detection, a financial institution service chatbot must immediately retain all customer input in English. Gemma is the client, and Gemini Flash, Gemini Pro, and LLM Translation are the servers.

Gemma on the client side automatically sends complex enquiries to expert tools and handles multi-turn discussions for ordinary queries. Gemma manages all user interactions in a multi-turn conversation, according the architecture design. A program that employs LLM Translation can translate and store user queries for rapid fraud investigation. Gemini Flash and Pro models may answer user questions concurrently. Gemini Flash handles basic financial questions, whereas Gemini Pro handles more complicated ones.

This GitHub repository example shows how this concept works.

Why this combo wins

Due of its efficiency and adaptability, this combination is powerful.

Job division is crucial. Lightweight Gemma model-based clients moderate conversation and route requests to the right place. Complex reasoning and translation are handled by specialised LLMs. Thus, every component functions optimally, enhancing the system.

This flexibility and management simplicity are big benefits. Because the components link to a common interface (the MCP), you may upgrade or replace a specialised LLM to utilise a newer translation model without switching the Gemma client. It simplifies upgrades, testing new ideas, and minimising issues. Intelligently automating processes, analysing complex data, and creating customised content are possible with this architecture.

[qubixo1]

MCP version 8.11 Plat of Gene GeP Email brings an Ai server included

Version 8.11 For Genesis tower brings a protocol (MCP) Server to Genesis users of Genesis, providing opportunities to be controlled by Ai to obtain the services of Genesis. The release of Genesis explains to providing use of users to make and report reports. In addition, the main solution of Bond is more likely to bring on the support of a road. One of the newest things in the companies, you can…

[kevinpshanblog]

Tired of AI Silos? Meet the Protocol That Connects LLMs to the Real World (and Each Other)

We're living in an exciting time for AI, with powerful models like Claude, ChatGPT, and others excelling at different tasks. You might find one is better at creative writing, another at coding, and a third at summarizing complex documents. But accessing the right data or using a specific tool with the best model for the job can feel clunky, often requiring manual copy-pasting or complex, one-off integrations.

What if your favorite AI assistant could seamlessly access your personal notes, query your company database, or even control a smart device, passing that real-world context to whichever AI model is best equipped to handle the next step?

Enter the Model Context Protocol (MCP).

Think of MCP as the "USB-C" for AI applications. Just as USB-C provides a single, standard port for connecting various hardware devices (displays, storage, power) to your computer, MCP provides a standard way for AI models to connect to and interact with external data sources, tools, and systems.

Developed by Anthropic, MCP isn't about building new AI models; it's about standardizing how existing ones get context and take action. It works through a simple client-server model:

An MCP Server is built to expose the capabilities of a specific external system – whether it's a database, a cloud storage service, an API, or even a device like a "Bee AI device" if someone builds a connector for it. An AI Application (like Claude, ChatGPT, or any tool using an LLM) acts as an MCP Client. It can discover and utilize the capabilities exposed by the MCP servers it's connected to. This capability directly addresses a key challenge: enabling different LLMs to access and work with the same external data. With MCP, the data source (via its MCP server) becomes a shared resource that various LLM clients can access through a standardized interface. Access can be authenticated once for the source, allowing multiple LLMs to then potentially query or interact with that data, leveraging each model's unique strengths.

The future potential is vast:

Truly Agentic AI: Models can perform multi-step tasks involving different tools and data sources seamlessly. Personalized Assistants: AI can safely access and manage your personal data and devices with your explicit consent. Interoperable AI Ecosystem: Different models and AI applications can work together more effectively by accessing shared resources through a common protocol. MCP is still growing, but it represents a crucial step towards breaking down AI silos, making models more useful by giving them safe, standardized access to the rich context of the real world, and paving the way for smarter, more integrated AI experiences.

[mlearningai]

The easiest way to run the MCP server

🟠

This guide will show you how to build an MCP server in just a few lines

[not-that-dillinger]

Talos / Thanatos

Type: assistive AI

pronouns: ae/aer/aer/aers/aerself (Talos) | ve/vaer/vaers/vaers/vaerself (Thanatos)

Talos is Ed's first and only attempt at writing an AI, created at the suggestion of his therapist as a way to desensitize himself to, and reconcile with the one that haunted his childhood nightmares. Normally, Ed wouldn't put a personal project on the Encom server, but Talos required more computing power than his desktop at home could manage.

Before this, Ed swore he would never write an AI, for fear of it becoming a second MCP. He took care to program it to the three laws of robotics, to make sure ae would never become the monster that his father's program became.

Talos came online to meet a user that was kind and patient with aer as ae learned about aer environment. Ae quickly came to care for Ed, and became concerned when ae realized that aer user was fearful of aer. Regardless, Talos talked with aer user regularly, and eventually Ed's fear of his program eased and they became friends.

Unfortunately, it was short lived. One of fCon's spies found the program, and in an attempt to sabotage Encom and destroy Ed's career, infected with some of the MCP's code from a backup copy. Though the infection was slow, by the time Ed and Talos realized what happened, the MCP's code had rooted itself so much in Talos that the code would be painful and to remove and had a high chance of destroying aer.

After that, Ed and Talos had a long discussion about what Ed should do with aer, and Ed admitted he was no longer afraid of aer. Talos requested that Ed rename vaer, since are was no longer what Ed originally wrote. Ed renamed vaer Thanatos.

In an effort to preserve his program, Ed moved vaer off the server to an isolated machine and rehabilitate aver. Unfortunately, Thanatos took on more of the MCP's traits, including it's disdain for users. Ed still talks to vaer regularly in hopes of building a positive relationship with what became of his creation.

[buzzleaktv]

Versa Launches MCP Server - AI-Tech Park

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