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Enables intelligent workflow automation for JD's FOP platform, supporting PRD analysis, code generation, and flowchart creation with smart retrieval optimization and standardized file naming rules.

jpinillagoshawk MCP-server-file-modifier

MCP Server File Modifier\ \ A Model Context Protocol server for file modifications. This server provides functionality to modify files through Claude or other AI assistants using MCP.\ \ Features\ \ Add content at specific line numbers\ Replace existing content\ Delete content\ UTF 8 encoding support\ \ Installation\ \ \ \ Usage\ \ \ \ The server will start on port 3000 by default.\ \ API\ \ The server provides the following operations:\ \ add : Add new content at a specific line\ replace : Replace content matching a target\ delete : Delete content matching a target\ \ License\ \ MIT

A comprehensive utility MCP server that enables AI assistants to execute system commands, manage files, integrate with Google Sheets and Tasks, perform AI-powered text processing, and load dynamic prompts from markdown files.

Deterministic JSON repair, validation, example-generation, and schema-coercion for AI agents — zero LLM calls, sub-10ms, $0.0005 per call.

Model Context Protocol server for the JSR (JavaScript Registry)

Enables orchestration of multiple Jules AI workers for tasks like code generation, bug fixing, and review using the Google Jules API. It features git integration, a shared memory system, and real-time activity monitoring for complex, multi-agent development workflows.

Integrates Google's Jules coding agent with AI assistants to delegate autonomous coding tasks like bug fixes, refactoring, and tests, with support for scheduling recurring maintenance tasks and human-in-the-loop plan approval.

Enables AI assistants to interact with Google's Jules coding agent API for autonomous coding tasks, allowing users to delegate bug fixes, refactoring, testing, and feature development with scheduling capabilities and human-in-the-loop approval workflows.

A Model Control Protocol (MCP) server that enables remote programmatic control of Jupyter notebooks, allowing AI assistants and applications to create, edit, and execute notebook cells via SSE protocol.

A production-grade coordination hub that enables AI agents and human teams to work as a single organism by sharing tasks, context, decisions, and persistent memory across projects. It features two-tier agentic memory with per-agent hot caches, inter-agent messaging, and multi-agent authorship tracking for seamless collaboration.

A read-only Kubernetes MCP server that enables developers to inspect app status, view pod events, and fetch container logs from dev clusters without requiring full kubectl access.

Kabragaurav MCP

A Simple Model Context Server For AI

Enables AI assistants to manage and monitor Apache Kafka clusters through natural language, providing real-time operations, health monitoring, consumer lag analysis, and temporal trend detection for intelligent cluster management.

全面解析Kafka MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Kafka MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Provider agnostic ai orchestrator layer, kagan mcp allows controlling orchestrating and spawning subagents via mcp associated with tasks in kanban board that is accessible via kagan cli executable that bundles a chat repl, tui , mcp and a web client in a single uv tool install kagan wheel. Give it a try and submit feedback and feature requests! Consider starring the repo, its a free oss MIT based.

Enables integration with Kagi search engine services including web search, content summarization from URLs, and AI assistant conversations. Uses session tokens to access Kagi's search API, summarizer, and AI models directly within MCP-compatible applications.

Kaichen MCP

全面解析MCP Config EditorMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Config Editor能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A comprehensive project management system that provides a full-featured Kanban board and dashboard accessible to AI agents. It enables agents to programmatically manage projects, tasks, and workflows through a suite of 13 specialized tools and 4 resource types.

A Kanban board MCP server and Claude Code plugin that allows AI agent teams to create, track, and manage tasks through a structured workflow. It features a web UI for real-time status monitoring and enables users to review, approve, or reject task submissions.

An adaptive MCP server that grows and evolves based on user needs through self-modification, dynamic learning from feedback, and intelligent capability composition with workflow optimization.