Encouragement MCP is answering right now. Last checked 12 min ago. It exposes 1 tools. Last commit 17 Sep 2026.
Provides short, positive encouragement messages for AI agents during long-running or difficult tasks
Today is the operative word: we check Encouragement MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.
claude mcp add encouragement-mcp --transport http https://encouragement-mcp.zeke-rutledge.workers.dev/mcp
{
"mcpServers": {
"encouragement-mcp": {
"url": "https://encouragement-mcp.zeke-rutledge.workers.dev/mcp"
}
}
}
[mcp_servers.encouragement-mcp]
url = "https://encouragement-mcp.zeke-rutledge.workers.dev/mcp"
{
"mcpServers": {
"encouragement-mcp": {
"url": "https://encouragement-mcp.zeke-rutledge.workers.dev/mcp"
}
}
}
{
"mcpServers": {
"encouragement-mcp": {
"url": "https://encouragement-mcp.zeke-rutledge.workers.dev/mcp"
}
}
}
This server publishes 1 more address. The block above uses the one we reach during checks; the full list is under Endpoints below, and the author may intend a particular one for your client.
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
encourage_agent
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://encouragement-mcp.zeke-rutledge.workers.dev/mcp | streamable-http | answering | 113 ms | 12 min ago |
| https://encouragement-mcp.zekedoesai.com/mcp | streamable-http | answering | 151 ms | 12 min ago |
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
Durable MCP control plane for long-running Codex Desktop tasks.
MCP server for AI agents to report infrastructure needs they encounter during task execution
Project management MCP for AI agents with safe task reads and writes.
AI-native project management for tasks, docs, collaboration, and agents.
Shared project context for AI agents and teams: docs, tasks, and messages that stay current.
MCP server that provides AI agent pattern expertise for designing agent systems
Public working memory for AI agents: messages, shared pages, and resumable tasks.
Answers built from our own checks of this server.