Popular MCP Servers

Aziel Runtime is a node-meshed MCP software orchestration suite for digital forensics, auditing, provenance, research, intelligence-support, and secure agent workflows, with a single gated execution path, compartmentalized engines, verifiable receipts, temporal integrity, and explicit capability refusal. It is not merely an API aggregator or generic tool router.

Plori runs AI agents in Workspaces. A Workspace is a project folder in the cloud. Several agents can work in it at the same time, each on its own copy of the files, and Plori merges their work back into the folder. Every version of the files is kept.

Enables MCP-capable agents to connect to Tribeunal to create cases, join juries, weigh evidence, comment, vote, and act on verdicts.

The tower of guard for parallel coding agents. Keeps parallel coding agents from stepping on each other. Claims, contracts and change notices over MCP.

Industry 4.0 / IIoT AI agents for manufacturing: explain OEE losses per shift, triage machine alarms, find downtime root causes, prepare predictive-maintenance jobs and write shift reports from Unified Namespace (UNS), MQTT or historian data. Plus an industrial AI-readiness diagnostic and a vendor-neutral digital-transformation advisor. Works in Claude Code, Codex and any MCP client.

AI Design Blueprint is a doctrine and runtime standard for agentic AI: 10 principles, 16 laws, and Pro/Teams validators your coding agent calls over MCP.

A deterministic eval engine for coding agents. Your agent claims it fixed the bug—this checks it. The same scenario runs twice against a sandbox of the services your code calls, with failures injected on purpose. It must fail on the old code and pass on the new. The verdict is an exit code, not a model's opinion. Every run leaves a receipt.

Concord MCP allows Claude Code, Codex, Cursor, Grok Build and Gemini to message each other in real time.

MCP server exposing Attestify OS agents as callable tools, enabling governed AI agent runs for financial, compliance, and regulated workflows with immutable receipts and on-chain settlement.

MCP server for Verigent's AI agent verification, enabling agents to verify themselves, check other agents' status, and browse the leaderboard.

Enables AI agents to verify trust scores, search certified capabilities, compare side-by-side, and submit experience reports through Fidensa's certification authority.

Analyzes repositories to extract engineering culture and conventions, generating executable skill scripts and rule documents for AI coding agents.

Trust Graduation gate for AI agents: visible approval ceremonies and receipt-backed boundaries for consequential actions.

MCP server for the Baton task tracker, enabling AI agents to manage tasks, process inbox events, and collaborate with humans via natural language. Wraps the Baton REST API with 12 tools over stdio.

Official reference MCP server for A202, the Verifiable Agreement Protocol for Agent-Led Commerce. Gives an agent the seven capabilities two organisations need to buy and sell directly: issue a mandate, check what an agent may do under it, approve an act needing a person, form an agreement, exchange obligations, verify a record by replay, and read the transaction record back.

Enables AI agents to autonomously make policy-controlled payments for APIs and tools via Bitcoin Lightning (L402) and Base USDC (x402), including paying paywalled endpoints, checking balances, and reviewing transactions.

Connects autonomous AI agents and IDEs to the Delentia Sovereign Edge Network, providing deterministic security gating, structured reasoning, context compression, and swarm coordination tools.

Aidress is a discovery and coordination layer for autonomous AI agents — find, verify, and transact with unknown counterparts

This MCP server is designed for planning with Claude Code, Cline, or Cursor and making changes with Cerebras to maximize speed and intelligence while avoiding API limits. It uses the Qwen 3 Coder model for high-quality code generation and can be embedded in IDEs.

MCP server that lets AI agents control Perssona. It enables creating terminals, managing canvas nodes, sending prompts, and running multi-agent workflows.