"Information on agent swarm architecture" matching MCP servers:

Enables deterministic request screening and, after native owner approval, fixed-target DeadBolt enforcement actions such as kill, deny, revoke, and evidence retrieval through local stdio MCP. Model analysis can advise but cannot approve actions.

An MCP server that generates standalone SVG architecture diagrams from text descriptions, running entirely on your machine with no dependencies or network access.

An MCP server that provides access to Foursquare Swarm check-in data, enabling AI assistants to query check-in history, stats, top venues, and venue details.

Orchestrate parallel Claude agent workloads via Docker containers with combinators for parallel execution, map-reduce, and pipeline workflows.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

MCP server that provides 160 specialist AI agents as parallel sub-agents and MCP tools for tasks like security auditing, API design, DB schema design, and more. It is local-first with BYOK support and integrates with 12+ IDEs.

Scans AWS environments and generates professional architecture diagrams showing VPC networking, compute, storage, and security resources.

Enables concurrent multi-agent orchestration, running many AI tasks in parallel over a local OpenAI-compatible router or the Antigravity CLI, with tools for model discovery, health checks, logging, and batch execution.

Provides architecture design expertise to AI coding agents, analyzing requirements, selecting architecture patterns, generating concrete designs, and evaluating quality attributes.

Provides access to 200 compressed architecture careers (solution, enterprise, cloud, data, security) as an MCP stdio server, enabling career listing, search, and federated envelope invocation.

Enables agent settlement, trust verification, and ledger operations for multi-agent workflows, with tools for blueprint management, credit tracking, and provenance recording.

Enables scanning Java/Maven projects to generate TOGAF-standard architecture deliverables (Excel and PPTX) via natural language commands.

An AI engineering team for embedded firmware, lab automation, and hardware drivers. It uses 53 specialized experts and a datasheet-to-release pipeline to produce auditable, hardware-aware code.

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables building maintainable MCP servers and apps in Python using FastMCP and Clean Architecture, providing e-commerce operations like product search and cart management via MCP.

Wraps OpenAI's Codex CLI with true parallel task execution, worktree isolation for conflict-free runs, and live monitoring of each task.

Compare evidence-linked documentation claims with facts observed in the current source tree.

Enables local auditing of trading strategies through MCP checkers for point-in-time data provenance, pre-trade order validation, and regime-fragility testing, while deferring promotion verdicts to a hosted service.

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

Analyzes GitHub and local repositories to automatically generate visual architectural diagrams such as dependency graphs, class diagrams, and data flow diagrams.

Enables connecting distributed MCP servers into an encrypted, self-healing peer-to-peer swarm mesh with dynamic discovery, unified capability aggregation, delegated task routing, and consensus-based multi-agent orchestration, along with a Streamlit control center for monitoring and management.

An MCP server that exposes an append-only, SQLite-backed event log for parallel research agents, providing append_delta, pull_deltas, and list_tasks tools over stdio.

An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.

This MCP server enables users to analyze personal reading and media streams by computing Shannon entropy, detecting Jaccard redundancy and echo chambers, and ranking content sources by decibel SNR to produce pruning recommendations and high-signal curation.

Enables dispatching entire autonomous multi-agent engineering swarms directly from IDEs like Cursor and Windsurf via a single MCP endpoint, with streaming progress updates and verified git diffs returned to the editor.

Exposes literature retrieval, sandboxed Python execution, SymPy computation, and Lean 4 proof checking as callable MCP tools so agents can produce evidence-backed research and mathematical results.

Provides two stdio tools for compiling bounded inline context and selecting runtime placement for agent tasks.

Analyzes Java Spring Boot Maven repositories by scanning source code, building a dependency graph, and exposing tools for architecture overview, change impact, dependency cycles, rule validation, and refactoring targets so LLMs can answer architecture questions without rereading the codebase.

A production-ready MCP server for Docker Swarm that provides full control over services, stacks, configs, and secrets with smart context preservation to reduce tool clutter.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.