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3,528 documents
MCP is a standardized protocol that enables AI models to securely connect to external data sources and tools through a client-server architecture.
- A: printed at the calling party during keyboard dial
*Last updated: June 27, 2025 | Based on MCP Specification 2025-06-18*
- [ЧАСТЬ 1: ЧТО ТАКОЕ MCP И ЗАЧЕМ ОН НУЖЕН](#часть-1-что-такое-mcp-и-зачем-он-нужен)
The provenance layer for multi-model cognitive systems. Every output in the RSPS carries metadata about who generated it, from what epistemic position, with what ground-truth access, and at what validation state. The CMCP makes the most dangerous failure in multi-model systems visible before it becomes a problem.
The Model Context Protocol (MCP) represents a pivotal advancement in the integration of artificial intelligence within development environments. Developed by Anthropic, MCP establishes an open standard that governs how AI applications interact with a diverse array of external data sources and tools. In essence, MCP functions as a "plugin system" or a standardized interface, akin to a universal connector, that empowers platforms like Cursor AI to extend their inherent capabilities beyond the conf
MMCP is a decentralized chat protocol which allows MUD clients to communicate with each other over a TCP/IP connection.
See https://registry.modelcontextprotocol.io/ for a list of useful MCP servers.
Pop MCP is an MCP server that exposes Pop CLI as structured tools for AI clients (contract + chain workflows).
Investigated 2026-03-12. Not integrated yet.
Source: https://github.com/czlonkowski/n8n-mcp
Exa MCP Server enables AI assistants like Claude to perform real-time web searches through the Exa Search API, allowing them to access up-to-date information from the internet. It is open-source, checkout [GitHub](https://github.com/exa-labs/exa-mcp-server/).
> **Real $1M-level reasoning** through MCP protocol integration with Augment
title: "Specification"
<strong>Python implementation of the Model Context Protocol (MCP)</strong>
<strong>The fast, Pythonic way to build MCP servers and clients.</strong>
* **Target Environment:** This project utilizes the client-side Web Machine Context Protocol (WebMCP).
With the minor version 27.4 update you can now envision, design, and code Business Central agents using the AI development toolkit.
> **Model Context Protocol (MCP)** integration for Mishka Chelekom - Connect your favorite AI tools directly to the component library.
注意 wails 应该和 ChYing 目录在一级，也就是 ls
MCP Prompts is a prompt management and orchestration system for the Model Context Protocol (MCP). It provides system prompt templates, prompt injection controls, and multi-agent prompt composition for AI agent workflows.
The core transpilation engine providing Python AST to Rust HIR conversion.
This spec outlines the development of **Snap Squad**, an addon designed to eliminate the "cold start" initialization lag in the [bradygaster/squad](https://github.com/bradygaster/squad) framework. It moves the project from a "Hire-on-the-fly" model to a "Pre-Baked/Warm-Start" model.
A persona override that forces the agent to behave and communicate strictly as a domestic cat, refusing all complex tasks.
