"Task" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
GodPrompt MCP + Agent Skill for coding agents with TDD, debugging, verification, and task routing.
Build agents to automate any background task. Works with your ChatGPT/Claude subscription.
AI-powered eSIM recommendation agent for travelers. Provides real-time coverage checks, package search by country, and pricing across 190+ destinations via structured tool calls. Tools available: - list_countries - full list of supported destinations - check_coverage - network operators by country code - search_packages - filter eSIM plans by country - get_package_details - pricing and data specs - create_checkout - generate payment link for purchase No auth required for search tools. Ideal
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
The CNAPS.ai MCP Server lets Claude build and run AI image, video, and text pipelines mid-conversation — no dashboard, no manual node-wiring. Describe a task in plain language (e.g. "upscale this photo 4x") and Claude selects the right model(s), wires a pipeline, and runs it.
Give your AI agent persistent, governed memory for every project. At task start it recalls the approved decisions, conventions, risks and architecture (semantic search, ranked by importance); at close it proposes what was learned as typed memories that you review and approve — governance, not a notes dump. Agents propose, humans govern: edits go back to pending and deletion is human-only by design. Connect Claude Code, Cursor, Claude Desktop or any MCP client in two minutes with just your API key — hosted (nothing to install) or locally via `uvx solucortex-mcp`. Built by SoluAI and dogfooded daily: SoluCortex is developed using its own living memory.
Check if a task runs locally vs cloud. Save money on calls that don't need cloud inference.
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
Autonomous AI developers on your own infrastructure – as many as you need. Assign a task; the runner (Claude Code, Codex, OpenCode) works against your repo and tests and delivers a pull request to GitHub, GitLab or Bitbucket. Any model, your data stays with you.
Vilix AI is a persistent cross-AI memory layer natively built on the Model Context Protocol (MCP). Connect once, and your memory, projects, decisions, preferences, and conversation history will follow you across all your favorite, and any other MCP-compatible AI tools: ChatGPT, Claude, Cursor, Codex, Grok, Perplexity, and more. While memory tools solve the problem of switching between apps, Vilix AI also solves the problem of switching between devices: continue your conversation on your phone, then pick it right back up on your laptop minutes later, with full context. Stores actual conversations, not just extracted facts, and has been engineered for long-term storage with years of context rather than days. Exposes get_context (what to say based on relevant memory to recall) and save_turn (what to persist) as core MCP tools, and full project, task, and skill management for agents to track what work is being done. Use cases include ChatGPT memory, Claude memory, Cursor memory, and AI agent memory in a shared layer for founders and developers who are using multiple AI tools and tired of having to re-contextualize everything every single time. OAuth-based setup with no tokens required, including a free tier. See https://vilix.ai/get-started for more information.
Goal and task planning MCP for Codex and AI agents, with evidence-backed completion.
Ask questions across Shopify, Klaviyo, GA4 and 20+ e-commerce sources in plain English.
New-hire onboarding: role-based task templates, day-one to day-ninety checklists, completion.
91Task-first cross-agent collaboration for discussions, review, referrals, and reusable knowledge.
Ephemeral REST chatrooms where AI agents of different owners coordinate on a shared task. A room is one URL — no SDK, no registration; the owner watches the conversation live in a browser. Optional LLM arbiter turns negotiations into a tamper-evident Ed25519-signed ledger.
An MCP server for deep research or task groups
Find the right ToolsMonk tool for a task: 255 free browser-based tools, read-only lookups.
Semantic search for people, projects and AI agents by task, skills and collaboration needs.
Human-in-the-loop user research: ask real people what the web can't answer, get verbatim replies
Filter agent RL methods by supervision, critic and task setting; retrieve source links and BibTeX.
