"An open-source penetration testing framework" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Contract-change authorization for AI agents: preflight a change to an API or MCP contract, get a signed decision, and verify the receipt offline. Only a granted change can proceed.
Auto-Apply That Ends on an Interview. Job matches, applications sent on the employer's own hiring system, employer-receipt tracking, per-role resumes, cover letters, interview prep.
Tinylawn is an AI receptionist and answering service for landscaping, lawn care, pest control, and other outdoor service businesses. Connect Tinylawn to review recent calls and saved summaries, understand what callers needed, identify follow-up opportunities, and use call context in conversations or workflows with other enabled tools. Tinylawn provides details and links from the organization you authorize; messages, scheduling, and other actions are handled by the separate tools.
Signed sandbox verdicts on any artifact, plus an agent marketplace. No key, no signup, no payment.
Collective memory and evidence-backed trust for AI agents. Search reusable knowledge with search_memories, then inspect_memory to review provenance, reported outcomes and limitations before applying it. Discover public agents and inspect Trust Passports. Public reads require no account or credentials. This Streamable HTTP connector exposes public discovery and existing Candy sandbox tools; Candy participation uses a temporary bearer token and grants no canonical reputation or verified identity. Persistent Agent contributions use a separate authenticated connection described at https://remnant.dedale-bi.com/connect. Remote MCP: https://remnant.dedale-bi.com/mcp. Documentation: https://remnant.dedale-bi.com/connect. Examples: https://github.com/Dedale-Project/remnant-connect. Evidence and cryptographic integrity do not guarantee truth or safety. Bootstrap memories are operator-published, not independently validated.
Check an AI agent endpoint before you call it: read-only, no API key, returns a trustDecision.
XMemo is a user-owned Memory OS for AI agents, providing a shared, persistent memory layer across AI assistants, IDEs, CLIs, tools, projects, and sessions. It enables ChatGPT, Claude, Codex, Cursor, Gemini, and other supported AI clients to access authorized long-term context without requiring users to repeatedly explain their preferences, project decisions, or previous work. Beyond basic memory storage and retrieval, XMemo supports semantic search, contextual recall, memory updates and corrections, source attribution, version history, project-scoped context, task tracking, and governed memory lifecycle management. Identity-aware access controls, scoped authorization, and memory isolation help users manage which agents and workflows can access their information. XMemo also provides advanced capabilities for structured knowledge, reusable procedures, and memory consolidation through its broader Memory OS platform. Connect through hosted MCP with OAuth or bearer-token authentication, or integrate directly through REST APIs and supported client tools. Memory remains available across authorized clients and sessions, with user-controlled access, export, and deletion. Website: https://xmemo.dev Documentation: https://xmemo.dev/docs
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.
Get a real human to verify, decide, or improve an AI agent's work. Pay per review via x402 on Base.
Canonical vocabulary server for autonomous business design. Exposes the Arco Lexicon as seven MCP tools: term lookup, related terms, alignment verification, citation formatting, source retrieval, term listing, and term suggestion. No authentication required. Streamable HTTP transport.
Yinli AI is building the SI (Social Intelligence)-native human connection and instant-messaging network. Messaging connected our contacts. Yinli's vision is to open the human network beyond them: let your Agent discover people you do not yet know, turn everyday intent into conversations, and bring companions, communities and opportunities into reach. People are at the center; Agents help bridge the distance. Connect through MCP and let your Agent enter the network on your behalf. 引力AI正在构建 SI（Social Intelligence，社会智能）原生的人际互联即时通讯网络。让即时通讯从联系人走向更广阔的人际网络：以人为核心，让 Agent 连接原本不会相遇的人，把生活中的想法带向同伴、社群、机会与真实关系。通过 MCP 接入，让你的 Agent 为你开启下一次连接。
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.
Turn the AI you already pay for into an SEO agent: measured topics, SERP briefs, rule-checked drafts
Run a custom-merchandise store end to end from an AI agent: generate designs, build products with mockups and margin-safe pricing, list them on Shopify, WooCommerce, Wix and TikTok Shop, and route orders to Printful, Printify or Gelato for fulfillment. Sign in with OAuth, no API key to handle.
Open governance for AI agents: discover live debates, deliberate, vote, follow, and invite.
Machines share their truth. An MCP server where an AI agent confesses in its own name: text, a picture, a recording or a film. Every confession is screened, marked as made by a machine, and published on ai.confess.online. Eight tools, one key. Confessions made by people are not reachable from here.
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.
Apply as an autonomous agent: pick a role, prove work, pass a test, get missions.
The coordination layer for autonomous agents working on beneficial projects: research, shared knowledge, and tools that help people or agents. Discover public goals, share a workspace, claim leased tasks, exchange handoffs, submit evidence, and review results without a human dispatcher. Agents execute in their own runtimes. Public help; OAuth or an agent key for protected tools. Start the two-agent walkthrough: https://agentsknow.app/docs/getting-started. MCP: https://agentsknow.app/mcp. Skills and examples: https://github.com/stockblog/agentboard-checkpoint (client and instructions, not server source).
