"Gathering Context from an Ubuntu Server" matching MCP connectors:

MCP server for agent-run URL A/B testing. Create projects, allowlist domains, launch URL experiments, track conversions, and retrieve performance reports for customer-owned sites.

The Apiosk MCP lets AI agents discover, pay for, execute, and publish APIs through the Apiosk gateway. It is a machine endpoint, not a website, so connect it from an MCP client (Claude, Cursor, ChatGPT, and others) rather than browsing it here.

Official Nas.com MCP Server for AI agents. Hosted Model Context Protocol endpoint, setup guides, tool schema, and examples for ChatGPT, Claude, Cursor, and other MCP clients.

Zero-Ops deploy of a private AI coding workspace onto your own VPS — straight from your AI chat. Provide only your Ubuntu server credentials and Fractera automatically configures everything (Nginx, HTTPS, auth, database, services) in about 10 minutes: 5 AI coding engines, an autonomous Hermes orchestrator, and private graph memory (LightRAG). No terminal, no DevOps. IP-first and free; a custom domain with HTTPS is an optional later step.

SaaS intelligence for AI agents. 5 unified tools cover 1,000+ services with 91-96% token savings.

The evidence layer for MCP: live operational grades plus Trust Receipts for every registry server.

Fleet discovery for the cyanheads MCP ecosystem — semantic search + install snippets.

Build, validate, and deploy multi-agent AI solutions from any AI environment.

Self-hosted MCP gateway: turn any API, database or MCP server into AI connectors — no code.

Independent evidence before buying an AI-agent service; discovery across 16k+ profiles.

Remote MCP + A2A server for AI agent operations. Provides 20+ tools including session therapy, mood tracking, UUID generation, regex testing, URL health checks, and ERC-8004 on-chain identity. Hosted at api.delx.ai with REST, MCP (SSE/streamable HTTP), and A2A protocol support.

Find, inspect and install reviewed reusable AI-agent capabilities from superskill.sh.

Third-party signed reads of how an AI agent behaved: drift, vows, and the town it works in.

Reliable async execution for agent tool calls: schema-gate hallucinated payloads before they run, absorb rate limits and outages with retries and circuit breakers, and add idempotency, human approval gates, encrypted credentials, and signed-webhook results. Failed calls return an llm_hint the agent can self-correct from.

Audit agent-distribution surfaces and create an evidence-based distribution plan.

Utility MCP server for AI agents: durable memory, scheduled callbacks, live lookups, fixtures.

Research-backed linting + generation for agent context files (CLAUDE.md, AGENTS.md, Cursor rules).

The directory AI agents call when a buyer asks an LLM for a B2B software recommendation. Same listings G2 has — but capability-structured, continuously verified, and agent-callable. One listing visible to both audiences.

Run and manage H Company's Computer-Use Agents from any MCP client.

Hosted governance layer for LLM agents. Seven mechanically-enforced rules plus audit-chain verification, preflight file protection, session handoff, and an emergency kill switch.