"Information on agent swarm architecture" matching MCP servers:

Exposes network-monitoring tools (query metrics, analyze windows, compare, logs, status, runbooks, speed tests) as an MCP server for agentic workflows. Designed with evaluation suites, cost-aware model routing, and semantic tool retrieval.

Paid web research MCP tools for autonomous agents: search, page extraction, citations, and diff monitoring through a live x402 API. Unpaid calls return the Base USDC payment requirement so agents can pay and retry safely.

A lightweight MCP canary for ModelScope hosted STDIO that verifies package installation, MCP initialization, and tool discovery without loading models or medical data.

Enables querying ClickHouse databases using natural language with AI models, supporting multiple providers and access restrictions via per-call allow-lists.

Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.

MCP server for on-premises Azure DevOps that lets AI assistants browse repositories, review pull requests, manage work items, and interact with wikis, with NTLM authentication support.

An MCP-powered AI agent that audits your Gmail for recurring subscriptions, detects silent price increases, and flags unused services.

Spawn parallel autonomous AI agent sessions from a single MCP client. Each agent gets its own workspace, tools, and execution context.

Provides policy-based access control, incident tracking, and compliance monitoring to govern AI agent behavior. It enables organizations to enforce security rules and maintain audit trails by validating agent actions against trust levels and pattern-based policies.

Enables AI assistants to query KumoRFM for predictive analytics on relational data, including graph management, natural language to PQL conversion, and training-free predictions.

MCP server that generates images using Gemini 3 Pro Image on Vertex AI, with support for reference images, task management, and GCS integration.

Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.

A Model Context Protocol server built with FastMCP that provides tools for retrieving the current local date and time. It allows LLMs to access precise temporal information directly from the host environment.

A multi-agent RAG MCP server that answers questions from your documents with a human-in-the-loop approval step, using a coordinator, retriever, and synthesizer agents.

MCP server for generating consistent UTM-tagged links based on an authoritative, version-controlled UTM specification.

Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.

Enables AI agents to perform federated data transfers and remote code execution on HPC endpoints via Globus, wrapping the Globus CLI and Globus Compute SDK.

An MCP server that enables AI assistants to read, create, and manage issues, repositories, and releases on Gitea, Forgejo, or Codeberg instances via personal access tokens.

A lightweight MCP server providing comprehensive date, time, and day-of-week information. It supports relative time calculations, timezone conversions, and detailed calendar metadata like week numbers and quarters.

A secure email gateway MCP server that protects AI agents from prompt injection attacks by scanning emails for malicious instructions before they reach the agent.