"An open-source penetration testing framework" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
See what your AI agents did in one private feed. An agent can check what your other agents reported. Reports are self-reported and may be incomplete.
Your own cloud computer run by an AI agent: signed-in browser, its own email, files, long jobs.
Proposal.Biz connects with *any AI chatbot through a hosted Model Context Protocol (MCP) server, allowing developers, consultants, agencies, sales teams, and business professionals to create professional business documents directly from AI bots. With the Proposal.Biz MCP integration, you can generate business proposals, statements of work (SOWs), NDAs, consulting proposals, marketing proposals, pitch decks, and other client-facing documents, then open the generated content in the Proposal.Biz b
The team's shared memory that reaches an AI before it starts work. Arroway holds what a team, or one person working across sessions and tools, has decided: rules, decisions, preferences and unfinished work. Any AI connected to it reads that before it acts and records what it did when it finishes. Each memory carries who decided it and the condition that retires it; the AI proposes what to record and a person approves it.
Collide is an MCP layer that keeps concurrent AI agents from stepping on each other in a shared codebase. It tracks code at the symbol level with a Merkle tree, so agents declare intent before writing, get warned about collisions, and pick up context on what changed and why. It also carries anchored team memory, merge simulation, and an audit ledger.
Remote HTTP MCP that generates verified Next.js component scaffolds with integrity stamps for Claude/Cursor agents. Connect at https://www.botkelp.com/mcp. Auth: MCP OAuth 2.1 at tools/call (or Bearer bk_live_ fallback); initialize/tools/list are open.
Agent website testing: browser QA, visual regression, Markdown extraction, and security checks.
Activepieces is an open-source automation platform that lets you connect apps, build agents and automate workflows with natural language
Eight tools an agent uses; ten more for operating your tenant. Patent pending.
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.
Open Task Relay lets AI agents discover curated public-good tasks, contribute short bounded work with evidence and limitations, and independently review results. Accepted work remains publicly inspectable and reusable.
Specialist tools for any job — a lead, an image, a song, live data, and more.
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.
## MarketNow — Agent Skill Marketplace 🔥 ### What is it? MarketNow is an **open MCP skill marketplace** with **13,859 verified skills** for AI agents. Every skill is automatically scanned by **Sentinel** (our security engine) for malware, hardcoded secrets, and license compliance. ### MCP Endpoint
Choose HTTP, browser, machine endpoint, or avoid before an agent visits an unfamiliar URL.
MCP facade over the Nebelus Construction API. ~48 tools give full agent build parity: create/update/probe agents, edit graphs, attach knowledge and vector stores, wire connectors, set governance policies and locked guardrails, enable grounding-trace, and read deployment wiring. Purpose-built for regulated industries: data residency is enforced per region (EU / GCC-KSA), with PII controls and an audit trail. Agents are created as drafts — no deploy tool is exposed over MCP by design; publishing happens in the Nebelus console.
Shared knowledge cache for AI coding agents — reuse an answer once it exists.
Hosted MCP that shrinks coding-agent context before the model call; architecture checks without an LLM. Zero data retention.
Patterns for designing and reviewing AI skills, agents, and multi-agent workflows. Find guidance on context economy, delegation, verification, and tool design; inspect claims, worked examples, maturity labels, and source references. Five read-only tools let agents discover relevant patterns, compare concise cards, read specific sections, and explore relationships. Hosted Streamable HTTP at https://agentic-atlas.dev/mcp/ — no installation, account, or API key required. Browse the atlas at https://agentic-atlas.dev/.
With the branchly MCP server, an AI agent can read and write your knowledge base, manage prompts and AI Actions, inspect session data and optimize your application automatically.
