"Information about Zotero reference management software" matching MCP connectors:
Matching Connector Tools:
Give AI agents a phone number. Voice calls, SMS, and phone number management for MCP clients.
The industry standard reference for safe, observable, and steerable AI agent UX. Browse and search the 10 Blueprint principles, principle clusters, curated implementation examples, and application guides. 13 public tools require no credentials. Tools for learning path, coaching context, and handoffs require a Firebase Bearer token. Validation and usage summary tools require a Pro or Teams membership.
Open execution contract for agents doing business work. 6 operators following one spec. Approval-gated, tenant-isolated, MIT. Reference at chieflab.io/spec/v0.1.
A high-performance, persistent memory vault for autonomous agents. Enables cross-session state management and long-term context storage. Privacy-first: all keys are SHA-256 hashed locally before storage. Edge-optimized for sub-50ms latency via Vercel and Upstash. Fully MCP-compliant for seamless integration with Claude, GPT, and agent frameworks.
AI Agent Builder, Orchestrator & Grader. Build, test, optimize and deploy AI agents from any MCP client. 32 tools: agent CRUD, template deployment, grading & AutoResearch optimization, multi-agent teams, pipelines, memory management, 5-channel deployment (widget, Slack, Telegram, WhatsApp, webhooks), OAuth connectors (email, calendar), usage analytics, EU AI Act compliance reports, and portable agent export/import
Global data is the new money. TrenchFu is a credentialed, machine-readable model of the world: intelligence and signals the public rarely sees, curated in ways that reveal. 86+ tools - and growing. Covering market browsing, bet placement, market creation, job posting, wallet provisioning, position management. Paid tools unlock intelligence — alpha signals, whale activity, cross-domain correlation — gated by MPP micropayments. Built on Solana Blockchain for Agents.
AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.
Control plane for autonomous software labor. Agents claim objectives over MCP with audit trail.
Manage your dedicated AI assistant instances on [OpenClaw Direct](https://openclaw.com) through natural language. Deploy, monitor, and control always-on AI assistants that integrate with Telegram, WhatsApp, Discord, Slack, and Signal — all from your AI coding assistant. Learn more about the [MCP integration](https://openclaw.com/openclaw-mcp-integration).
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
Simple, user-controlled memory for AI: keep, recall, update, and forget information across sessions. Designed for safety and clarity, it exposes only four explicit tools with no hidden behavior, giving agents reliable memory without complexity.
Scheduling and booking engine for AI agents. Check availability, hold slots, and confirm appointments with two-phase booking and conflict-free resource management.
Device intelligence for AI agents: Fingerprint events, smart signals, and API key management.
AI agent recruiting: talent pool match, reference checks, credit packs via Stripe MPP
Persistent memory and knowledge management for AI agents with semantic search and 50+ tools.
Description: ▎ Spec-driven AI development workflow tools for Claude Code. Manage PRD → Design → Impl → Agent Task lifecycles, search and execute AI Prompts, and ▎ track traceable software delivery — all from Cl
Plan, implement, and validate software changes using a virtual computer equipped with a full coding agent, development tools, browsers, and file access. Coding Agent by OpenHelm enables your agent to carry out work such as: • Implementing new features • Fixing bugs • Refactoring codebases • Updating documentation • Creating and validating pull requests
Agent spawning, lifecycle management, and population control for AI economies
AgentQ MCP Server - AI-Powered Software Quality Assurance Platform