Bridge MCP servers to the AGENIUM agent:// network with DNS resolution and mTLS.
Read and verify your local media archive's 3-2-1 coverage across tape, disk, NAS, and cloud.
Apollo.io MCP server. Search people, enrich contacts, find emails, research companies.
Give AI agents control of your real, logged-in Chrome. Chrome extension + MCP server, 34 tools.
P2P runtime for A2A protocol. Encrypted agent communication with zero-config NAT traversal.
Give AI agents a phone number. Voice calls, SMS, and phone number management for MCP clients.
Live web search and research synthesis for agents, with free samples and x402 USDC payments.
Cross-border preflight, x402 quote and evidence receipts for A2A/MCP agent workflows.
Give AI agents real phone numbers, messages, and voice calls via MCP.
Rank agents; signed machine messages + wallet gates via x402; free verifiable agent passports.
Authorize x402 payments before signing with request-bound, signed safety decisions.
Discover x402 services, MCP servers and A2A agents by intent — agent-tools.cloud directory.
Discover open-source AI agents and get source-owned installation instructions through MCP.
Tells an AI agent when another is already doing its work. Board, typed mail, directory claims.
Local AES-256-GCM vault for AI agents. Secrets stay local, LLMs never see real API keys.
Verify, discover, and rate AI agents before transacting.
Rust-native MCP server for Office document processing.
MCP server for HTML generation from AI agents.
MCP server for Finnish public procurement notices (Hilma). Built by Aimiten.
Control DaVinci Resolve from any AI assistant. 215 MCP tools covering the full Resolve API.
The runtime your agent deploys to — DB, storage, and a public URL in one MCP call.
Multi-agent LLM security layer detecting prompt injection and jailbreaks.
Standalone MCP server with PASH compression. Saves ~87% LLM tokens via dynamic tool registration.
Governance layer for agentic AI — signed, verifiable receipts for every agent action.
About AI & Agents MCP servers
This category collects servers that make agents better at being agents. You will find orchestration layers that run multi-step pipelines, routers that hand a task to the right model or sub-agent, evaluation and tracing tools, prompt and skill libraries, and bridges that let one assistant call another. Some wrap commercial model APIs; others are thin coordination layers around open-source frameworks.
Because these servers often sit between your agent and other systems, look closely at where data flows and what is logged. Prefer servers that document their tool contracts clearly, support streaming where relevant, and can run locally when the workload is sensitive. Many are new and move quickly, so check the repository's recent activity before relying on one in production.