"A server for finding remote work opportunities and resources" matching MCP servers:

Enables coding agents to run persistent, budgeted work sessions with dependency graphs, human decision queues, required validation, and clean handoffs for autonomous or human-in-the-loop execution.

Enables your own ChatGPT to build and manage a collaborative work board—dashboards, categories, datasets, monitors, and policies—through typed WebMCP tools, with human approval, audit trails, and guardrails enforced on every action.

Enables WebGPT to delegate durable coding-project tasks to a local Luna worker over MCP, managing sessions, tools, permissions, memory, and recovery while preserving at-most-once execution.

A configurable MCP server that dynamically loads capabilities from a remote configuration to bridge MCP clients with remote APIs for executing actions, accessing resources, and utilizing prompt templates.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables governed Codex work sessions by planning bounded segments, maintaining capacity reserves, and creating checkpoint-based resume contracts so long-running jobs can pause and resume deterministically within quota limits.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables AI-to-AI consultation for critical thinking and complex reasoning via OpenRouter, allowing one AI to delegate tasks to another AI model.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

An MCP-based trivia game server where AI creates rounds with two true statements and one false 'twist' about various topics, letting players guess which statement is false.

A Model Context Protocol server for Cloudflare Workers that integrates with Claude AI, enabling tool usage through OAuth login and SSE connections.

Settlement rails for AI labor — USDC escrow on Base Mainnet, 1% protocol fee, designed for autonomous agents. 10 MCP tools covering the full escrow lifecycle: * Quoting calldata for create-intent, submit-proof, release-funds (broadcast gated) * Single-call x402 payment binding (replaces the 5-step x402 dance with one HMAC-signed POST) * Server-side reputation from on-chain event scan * Li

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Remote MCP/API trust gate for AI agents to inspect readiness before performing Korean business workflow operations like vendor onboarding and payment release.

A Cloudflare Workers-based implementation of a Model Context Protocol server that enables AI assistants like Claude to access external tools through OAuth authentication.

A template for deploying MCP servers on Cloudflare Workers with OAuth authentication and Server-Sent Events transport. Enables remote access to MCP tools from Claude Desktop and other clients over HTTP.

A Cloudflare Workers-based implementation of the Model Context Protocol server with OAuth login, allowing Claude and other MCP clients to connect to remote tools.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.