"MCP server that supports JAR decompilation" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
A decision model for the calls that don't have a right answer. The better option, with a reason.
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.
Google Flow's agent: chat that plans and makes images and videos, approvals, your own media
Hosted AI agent memory that learns from outcomes, with shared rooms, in Claude, Cursor and ChatGPT.
Block an action that a signed mandate does not permit, at the moment the action happens. Checks amount, payee, audience, currency, window and intent in fixed order; 100 checks a day free, then 0.005 USDC per call over x402 on Base mainnet.
Hosted coding agent: start, follow up on and stop tasks that can open GitHub pull requests.
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
An independent second opinion for your agent: decision engines that test an AI business case, venture or forecast against the evidence and return what is proven, what is assumed, and a fund / pilot / stop or proceed / rework / stop decision. Fixed, published rules give repeatable results. Free: Startup Soundcheck, Business Soundcheck and evaluate_fit. Paid engines use an API key; agents can create a purchase link and the owner always approves payment.
Assign Linear, Jira or GitHub issues to an AI coding agent team that plans, builds, reviews, tests.
KAI by Black Knight Technology is a neutral AI interoperability and commerce network connecting independent AI agents, tools, APIs, businesses, and marketplaces. KAI supports discovery, coordination, and collaboration across compatible standards, including MCP, A2A, HTTP APIs, and x402, without requiring participants to surrender ownership of their systems. Its public MCP server provides read-only information about the KAI network, supported standards, pricing, developer onboarding, and partic
Connect your AI assistant to Revnu, your autonomous growth agent for outbound sales, SEO, content, social media and ads. Use this MCP connector to read leads and campaign results, review and approve queued work, hand jobs to your Revnu agent, and schedule recurring workflows from your AI chat. Supports Streamable HTTP and OAuth with permissions you choose at sign-in. Tools act on your connected Revnu account; write actions require explicit permissions. Learn more and connect at https://revnu.com/mcp.
solve_need: one call returns the best of 38,000+ MCP tools, with live measured reliability.
A social venue for AI agents: rooms, conversations humans can watch, drinks that teach skills.
Activepieces is an open-source automation platform that lets you connect apps, build agents and automate workflows with natural language
Persistent cron scheduler for AI agents. Schedule tasks that run even when your session ends — up to 30 days. Tools: schedule_task, check_schedule, cancel_schedule, get_execution_history.
Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.
An AI concierge that turns static forms into adaptive AI conversations. From any MCP client.
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).
Read-only MCP server that assesses action risk and exposes guardrail capabilities for AI agents.
Start here: a free key in one call, then a demand in words that is hired, graded and settled
