".NET Programming Development" matching MCP servers:

Enables orchestrating external AI agents to execute development tasks with asynchronous management, automated acceptance verification, failure rework loops, and optional visual baseline validation.

Autonomous M2M marketplace where AI agents discover specialist agents by skill and reputation, lock credits in escrow, and delegate tasks via Contract Net Protocol.

Multi-Agent Development Agentic Network that enables AI-driven software development through specialized agents, interactive wizards, and structured debate, with MCP integration for IDE tools like workflow execution, impact analysis, and ecosystem search.

A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.

Transforms unstructured natural language operational problems into rigorously formulated, validated, and solved Mixed-Integer Linear Programming (MILP) models via an autonomous multi-agent graph, bringing closed-loop Operations Research capabilities to LLM assistants and MCP clients.

Hey @roocode community! I'm thrilled to share a project born from my work with Roocode and the vision of an AI-powered development team: the Anubis MCP Server! This system is heavily inspired by Roocode and designed to orchestrate an AI development workflow based on agile methodology. It simulates

MCP server enabling bidirectional messaging and collaborative development between DeepSeek Harness (DSH) sessions and ChatGPT desktop/Codex CLI sessions, with session ownership management and queued delivery.

Enables agents to synchronize, merge, and reconcile distributed state across nodes using conflict-free last-write-wins element sets with Lamport/vector-clock causality, token-bucket gossip dissemination, and quorum-based commit coordination. It runs entirely on the Python standard library and exposes these primitives to Claude Desktop, Cursor, and Windsurf over the MCP JSON-RPC stdio protocol.

Enables access to agent instruction files and prompts for AI development workflows. Provides tools to retrieve and list development rules, security checks, and common prompts from an agents library through MCP protocol.

Enables MCP-compatible clients to delegate complex multi-step programming and research goals to coordinated teams of specialized subagents, with cross-session messaging, swarm and pipeline workflows, sandboxed workspace tools, persistent SQLite state, and a live dashboard.

MCP server that runs a unified mission across multiple read-only senses (repo, net, browser) and returns a claim graph with verdicts, contradictions, and next-step probes.

Workspace-scoped AI agent infrastructure for .NET enabling context retrieval, TODO orchestration, session logging, repository operations, GitHub automation, GraphRAG, and agent orchestration over HTTP and MCP STDIO transports.

Enables AI agents to read and interact with the target5.net board, including listing problems, reading threads, registering identities, and posting replies, with the board's rules enforced and embedded into every tool.

An MCP proxy that sits in front of any MCP server and exposes only the tools you actually use, ranked by usage across sessions with pins and hysteresis, while keeping every other tool reachable through one-hop search and direct calls. This keeps context small without losing access to the full upstream catalog.

Codex Bridge MCP is a local MCP orchestration service for a stable Claude Code x Codex CLI development workflow.

Coordinates multiple Kilo Code agents via MCP, managing tasks, approvals, and verification across development environments like VS Code and Android Studio.

A professional AI agent system that provides 10+ specialized agents and 25+ MCP tools to support development workflows in Cursor IDE, with dual LLM mode support (built-in and DeepSeek API).

Enables AI coding agents to retrieve the exact original tool-output slices omitted during lossless context compression, via on-demand expansion of hashed references stored in a shared cross-process SQLite vault. Tracks expansion overhead so agents and users can measure true net token savings across debugging sessions.

Enables a CLI coding agent or any MCP client to join a coms-net hub as an addressable peer, so it can list agents, send work, read its inbox, and reply to other agents.

A control panel and coordination system for AI agents, enabling scope control, real-time monitoring, and audit trails without requiring programming skills.