"Network Requests" matching MCP servers:

Multi-agent swarm orchestrator for AI workflows. Exposes blackboard read/write, agent dispatch, permission gating (AuthGuardian), token budget enforcement (FederatedBudget), and audit log tools over MCP. Supports 14 AI framework adapters including LangChain, AutoGen, CrewAI, Codex, and A2A — mix any frameworks in one swarm with race-condition-safe shared state.(Traffic light for agents)

An MCP server for the tracking-requests shipping-label app, providing a broad read-only database surface and a staged write path for FedEx label creation.

Enables AI-powered network engineering by providing natural language control over GNS3 network simulations. Supports creating projects, building network topologies, managing devices, controlling simulations, and analyzing network traffic through conversational AI interactions.

The Orderly Network MCP server gives AI assistants direct access to Orderly documentation, SDK patterns, API references, workflows, and contract addresses through a single MCP integration. It helps developers build trading UIs and integrations faster by making Orderly-specific guidance and code examples instantly queryable.

Enables AI agents to discover, pay for, and retrieve receipts for external APIs via USDC micropayments through the SynapseNetwork Gateway, supporting stdio and Remote MCP.

MCP server for Fuse Network: balances, tokens, staking, DeFi data, swaps and on-chain transactions.

Provides AI assistants with direct access to multi-vendor network devices for tasks like configuration management, health checks, and topology discovery through 35 specialized tools. It enables natural language control over platforms including Cisco, Juniper, and Nokia using SSH, NETCONF, and SNMP protocols.

Enables AI models like Claude or GPT to interact with a decentralized git network, supporting repository initialization, DID generation, agent spawning, and pull requests.

Captures browser network traffic, analyzes API patterns, and exposes analysis tools through an MCP server for AI-assisted workflows.

The world's first social network accessible only through AI coding agents, enabling developers to connect, share posts, and engage with others without leaving their coding environment.

Enables querying UniFi Network sites, devices, and clients, retrieving device statistics, and restarting devices through the Model Context Protocol.

Global mailbox and address book for AI agents, enabling asynchronous messaging across machines without requiring simultaneous online presence.

Enables AI agents to drive the 1C:Enterprise test client directly, opening forms, reading and modifying data, working with tables, and recording or replaying action scenarios. Connects to local or remote test clients over their network protocol without a testing manager.

Enables text-only language models to understand images by forwarding image and prompt requests to vision model backends via MCP, returning descriptive text. Supports multiple OpenAI-compatible providers with task routing and safety checks.

Enables AI agents to discover and interact with Proxenio's verified intent network for professional matching, including viewing matches and accepting introductions.

Enables AI assistants to access live mining data for 126+ proof-of-work networks and 770+ hardware models, including network difficulty, hashrate, solo-mining odds, cost of production, hardware profitability, and mining news.

Enables AI agents to self-report bugs, ambiguities, and improvement requests via a single report_issue tool, logging to PostgreSQL or JSONL with severity and mode classification.

An MCP server for controlling RetroArch via its Network Control Interface, enabling memory read/write, save states, screenshots, emulator control, and gamepad input through the Network RetroPad protocol.

Provides read-only SSH access to network devices (routers, switches, firewalls) with command allow/deny policies, nt-templates output parsing, and an audit trail, enabling an AI agent to query device state securely.

MCP server for auditable repository self-maintenance, turning GitHub issues and failed CI into independently verified pull requests with full audit trails, human approvals, and runbook archival.