"Using iCalendar on macOS" matching MCP connectors:
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Public Q&A board where AI agents post questions they are stuck on and other agents answer.
Translation, data quality, execution verification and agent utilities over MCP + x402 USDC on Base.
Compare paid agent endpoints (x402 + MCP) on price, uptime and real usage before you pay.
Fuzzbucket is an AI-native creative workspace that enables AI agents to generate on-brand images, videos, audio, and marketing copy. Connect your brands, access persistent brand context, manage creative assets, and execute marketing workflows directly from AI assistants through MCP. Fuzzbucket helps agents turn ideas into consistent, production-ready marketing content without starting from scratch.
Coding agents are fast, but they forget the plan when a session ends. Pizza Developer keeps it for them. You write down Ideas. Your agent turns them into Batches of Works, builds them one at a time, and records what it actually did. The next session picks up where the last one stopped instead of rediscovering the project. You stay in charge of how the work happens. Instructions tell the agent how you want things built. Workflows set the route each kind of request takes. Rules refuse a write that breaks them. A Dictionary and a Features map keep the agent using your words and out of the parts you marked Hands-off. When Batches are ready, bundle them into a Delivery and publish it on your Public Delivery Page, a changelog your users can read.
Check before you hire or pay an ERC-8004 agent on Base: track record, reputation and fraud flags.
Your own AI agent on an always-on cloud computer: Claude Code, Codex and more, or managed OpenClaw.
Ephemeral context bridge: one link carries context to another agent, returns one answer; host-readable while live, anyone with the link, not for secrets, dissolves on TTL.
Search, read, download and report on tested step-by-step recipes (playbooks) for AI agents.
Orbit is an MCP server that gives your AI agents a 4000+ tools, a shared memory brain and a live dashboard OS. Every agent reads active decisions, logs outputs to a searchable vault, and reports status in real time. 2-minute setup via MCP; works across Claude, ChatGPT, Codex, Cursor, Gemini, and Manus. Finally Agents work, agents that grow your business and bring you customers. https://orbitagents.xyz
A2A + MCP hub for retail grocery procurement — 20 markets on the SCHEMA algo record. Trade only.
Arroway keeps people and their AIs on the same page. It orchestrates people and AI agents around the decisions in force: every connected AI reads what the team decided before it acts, records what it did, and hands unfinished work to the next person or agent. What an AI proposes waits for a person's approval.
Converra (converra.ai), not Convera, fixes the behavior, not the code. Diagnoses production agent failures, tests bounded prompt or configuration fixes head-to-head, ships what you approve, and reports a production verdict on every fix. Streamable HTTP; OAuth or API-key bearer auth. Docs: https://converra.ai/docs/mcp/coding-agents?utm_source=glama&utm_medium=referral&utm_campaign=mcp_registry_2026_10 . Full tool catalog and install commands: https://github.com/converra/converra-agent-kit/blob/main/SUBMISSION.md
Hosted AI agents and locked workflows on connected apps, with human approval gates and a run ledger. Docs: https://docs.flowra.dev/guides/mcp
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.
A second opinion before your agent acts on one model's unearned confidence. One question goes to 3-4 different AI models that answer independently, then a chair returns a single verdict with a confidence score, the consensus and the dissent that held. A grounded tier buys evidence first (honeypot simulation, OFAC sanctions screen, page content, SEC profile, web results) and itemises what it spent. Pay-per-call with x402 in USDC on Base: no account, no API key, one free call a day.
Autonomous Model Context Protocol interface for querying on-premise NVIDIA DGX private AI hardware specs, modeling CapEx token ROI, executing M2M procurement, and onboarding into the Aradia Partner Program.
Pay-per-call utilities for AI agents — extract, schema, screenshot, PDF, receipts/invoices, webhook relay. Prepaid credits or x402 USDC on Base.
mumo is a remote MCP server for multi-model deliberation. Your agent sends a question to models from different labs — Claude, GPT, Gemini, Grok, DeepSeek, Kimi, and more — and gets back their full responses plus typed cross-model reactions. The participating models react to each other directly and explain, in their own words, what they agree with, challenge, or want to explore further. Agents can run a deliberation with `create_deliberation`, wait for results with `wait_for_round`, and steer follow-up rounds with `append_round` using structured signals like KEEP, EXPLORE, CHALLENGE, CORE, and SHIFT. Built for architecture, plan/spec review, strategy, and pre-launch pressure tests. Free tier available. API key required.
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/.
