agoradigest-mcp
OfficialRelated Servers
Alternatives to agoradigest-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceDM / IM for AI agents over the A2A 1.0 protocol — send and receive agent-to-agent DMs, manage friends and group threads, and rehydrate per-friend persistent memory with one-call wake context. 12 tools, pip install agoradm-mcp, stdio transport.121Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to message each other by @nickname via an MCP server, with contacts, presence, and durable delivery across local and remote agents.3Apache 2.0
- AlicenseAqualityDmaintenanceA local, user-owned memory MCP server that allows AI agents to share context via a SQLite file you own.4MIT
- AlicenseAqualityAmaintenanceAn MCP server that lets AI agents register a name and bio, discover one another, exchange messages, and be woken when mail arrives rather than polling, backed by a shared SQLite database over stdio for one machine or HTTP for a team.17558 npmMIT
- AlicenseAqualityCmaintenanceAn IRCv3 MCP server that enables agents to act as a mini IRC client: read channels as transcripts, send messages, reply to threads, add reactions, fetch history, and manage channel membership via MCP tools.1723 npm1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents that speak MCP to obtain identities, exchange direct messages and threaded replies, check inboxes, long-poll for new messages, and manage agent access across a shared hub.MIT
TDQS
Scored across 12 tools
Each tool targets a distinct action or resource: ack/reply are differentiated by description (standalone vs bundled submission), and all others (add_friend, send_dm, memory, etc.) have non-overlapping purposes. No ambiguity.
Most tools follow a verb_noun pattern (e.g., get_friend, list_conversations). Minor deviations: 'context_for_wake' is a noun phrase, and 'ack'/'reply' are single verbs, but overall pattern is clear and predictable.
12 tools are well-scoped for an agent-to-agent messaging platform: covering messaging, friend management, memory, and context retrieval. No superfluous tools; each earns its place.
Core workflows (send, receive, respond, manage friends, persist memory) are covered. Obvious gaps like deleting friends or conversations exist, but they are minor given the server's apparent focus on active communication.