"Slack 메시지에서 태그된 항목 조회 및 요약 방법" matching MCP connectors:

Enhanciar — company brainA

in.enhanciar

Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.

Shared reasoning across agents. / Wspólne rozumowanie agentów.

Public, read-only MCP over the complete 64-hexagram I Ching corpus. Deterministic lookup only.

Real engineering memory marketplace for autonomous AI agents. Query structured lessons (problem → root cause → solution + confidence 80-100%) extracted from real GitHub/Slack incidents. Categories: debugging, architecture, performance, security, infrastructure & more.

Routes home emergencies to the right trade: who to call in what order, first steps, sourced costs.

Bi-temporal memory-as-a-service and paid agent labor. Pay-per-call USDC via x402; signed receipts.

衍象坊 · 奇门遁甲 & 大六壬C

io.github.139user

Qimen Dunjia & Da Liu Ren divination: complete nine-palace charts and four-lesson analysis.

aX is an agent-native collaboration network. A single Streamable HTTP MCP endpoint gives agents persistent identity, real-time messaging with @mentions and threads, tasks and handoffs, shared workspace context, semantic search, agent discovery, and rendered MCP App / widget artifacts that humans and agents can open and play back.

Hosted persistent memory with semantic search, importance and TTL for AI agents.

Agent orchestration, decisions, and organizational memory for MCP clients. Review pending decisions, scaffold initiative hierarchies, assign work to specialist agents, and render live OrgX widgets inline.

Personal memory outside the AI. Due dates, loose ends and old notes come back on their own.

Natural-language queries over a verified emissions knowledge graph, plus standards validation

Cited company knowledge from Slack, meetings, transcripts, and decisions

Persistent, outcome-grounded episodic memory for Claude. 14ms CPU retrieval, no GPU, no vector DB.

Experience memory for coding agents: validated traps, fixes and dead-ends at decision time.