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CoralSwarm Connect

제작자: CoralSwarm버전 1.1.2i★ –i클라우드에서 실행
레지스트리 이름com.coralswarm/coralswarm

설치

개요

제작자가 쓴 설명(영어 원문)

Search and save your coding work in a CoralSwarm ocean: sessions, decisions, meetings.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 클라우드에서 실행
  • 전송 방식: Streamable HTTP
  • 카테고리: 검색 및 AI 기억

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 제작자의 서버에서 실행돼요. 내가 요청한 내용은 제작자의 서버를 거쳐요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://api.coralswarm.com/mcp

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http coralswarm https://api.coralswarm.com/mcp

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "coralswarm": {
      "url": "https://api.coralswarm.com/mcp"
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "coralswarm": {
      "type": "http",
      "url": "https://api.coralswarm.com/mcp"
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://api.coralswarm.com/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 도메인 coralswarm.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    엔드포인트 응답

    아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요

  • … 아직 점검 안 함

    OAuth로 로그인

    아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요

검색 및 AI 기억 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 7215개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 7215개 중 43%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 7215개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

CoralSwarm Connect, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.1.2)은 2개월 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Context7, Codebase Memory, Exa

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Context7

제작자: upstash

Up-to-date docs for AI agents

컴퓨터 또는 클라우드★ 64,224MIT3일 전 업데이트
설치

Codebase Memory

제작자: DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

내 컴퓨터에서 실행★ 48,148MIT20일 전 업데이트
설치

Exa

제작자: exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

클라우드에서 실행★ 5,213MIT44일 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

CoralSwarm Connect

Connect the CoralSwarm MCP and turn on automatic, in-session capture of your work into your ocean — at natural checkpoints *during* the session, not only when it ends. Ships for Claude Code, Cursor, and Codex. Enable the plugin in one manager; leaving two copies enabled will fire SessionStart twice (the kernel no-ops the duplicate).

Install

Public directory submission materials and the separate OpenAI ZIP builder are documented in directory publication. The OpenAI directory package supports requested searches and selected saves without capture hooks; the coding plugin below retains its existing capture behavior.

There are two levels. The plugin gives you the MCP tools *plus* the capture hooks and the bundled skill; the raw MCP URL gives you the tools only, and works in any MCP client.

ClientInstall

| Claude Code (plugin) | /plugin marketplace add CoralSwarm/coralswarm-connect then /plugin install coralswarm-connect@coralswarm-connect | | Cursor (plugin) | Add this repo as a plugin source, install coralswarm-connect, then complete MCP login | | Codex (plugin) | Same repo, same plugin name; Codex may ask you to trust hooks the first time | | Any MCP client — Cursor, ChatGPT, VS Code, your own — (tools only) | Add an MCP server of type streamable HTTP at https://api.coralswarm.com/mcp |

coralswarm-connect@coralswarm-connect is not a typo: the first half is the plugin, the second is the marketplace this repo publishes (both are named coralswarm-connect — see .claude-plugin/marketplace.json). The same two commands work from a shell as claude plugin marketplace add … / claude plugin install ….

After any of these, authenticate: in Claude Code run /mcp and Authenticate on the coralswarm server; in Cursor use /mcp login or the mcp_auth prompt. Auth is OAuth (Clerk) with dynamic client registration — there is no API key to paste and nothing to put in a config file.

The MCP URL must be that literal string. Cursor rejects a fly.dev resource that does not match the server's protected-resource metadata.

CoralSwarm Connect is not listed in any client's built-in plugin or

connector directory yet. The paths above are the ones that work today. This

repo also ships server.json for the

official MCP Registry under the

name com.coralswarm/coralswarm; it is published by a release tag (see

Releasing), so treat a registry listing as present only once a

tag has shipped.

Do not run scripts/install.mjs when the plugin is enabled — that would register the same events a second time in settings.json.

Public plugin repo. This repository is the marketplace source. The

product backend still lives in CoralSwarm/coralswarm. Refresh with

/plugin marketplace update coralswarm-connect.

One-time trust + OAuth. A plugin-provided MCP server still requires you to

approve the server (trust prompt) and complete OAuth via /mcp the first time

— the plugin declares the server, it can't pre-authorize your account.

What the plugin sets up

  1. MCP connection (.mcp.json) — declares the CoralSwarm MCP server (HTTP transport) so its tools (list_oceans, recent_activity, ask_ocean, search_atoms, get_reef, add_context, list_sessions, …) are available once you authenticate.

The plugin .mcp.json is the literal URL https://api.coralswarm.com/mcp (hosts do not expand ${VAR:-default}, and Cursor requires a byte-exact match with the server's protected-resource metadata). There is no separate org address; the same URL serves your personal ocean AND every organization you belong to. Staging or a local backend is a user-level MCP override (~/.cursor/mcp.json / claude mcp add), not a plugin edit.

Personal vs. organization is chosen IN-BAND, not by URL: if you belong to ≥1 organization, the connection starts restricted to the workspace tools, list_tenants and select_tenant. Call list_tenants, then select_tenant with the org you want (or without org_id for your personal ocean). That unlocks the rest of the tools, scoped to whichever plane you picked. Calling select_tenant again, any time, switches — no new session required, unlike the old per-URL setup.

Want both at once? Register this SAME URL a second time under its own server name (see *Manual install* below) and call select_tenant independently on each registration — each gets its own OAuth connection and its own remembered selection. You get both tool sets in one session, distinguished by server name.

  1. Capture hooks (hooks/hooks.json), all firing *during* a session:
  • SessionStart → primes the agent to load relevant ocean context and to save each milestone as it happens, and emits sanitized session metadata (project key, git branch, credential-stripped remote, repo path, hostname, harness version) for the agent to stamp onto every save. A hybrid inventory line lists registered capture events vs those observed this session — hosts that never fire a given event stay dark (degrade in public) instead of blocking the turn.
  • UserPromptSubmit → a debounced reminder (about every 15 min of active work) to save recent progress, plus a one-line notice when the git branch changes mid-session. This is the recurring, mid-session capture.
  • PreCompact → flushes unsaved work into the ocean right before the conversation is compacted, so nothing is lost.
  • Stop → a final backstop (debounced ~10 min).
  • PostToolUse (matcher add_context) → stamps a local activity ledger every time an add_context save runs (Claude mcp__…add_context, Cursor MCP: …/add_context / CallDynamicTool), powering deterministic recovery of crashed sessions (see below). Every event is dispatched through hooks/run.mjs.
  1. The `coralswarm-connect` skill — say "onboard coralswarm" and the bundled skill walks through the same setup conversationally (useful if you installed the MCP some other way, or to verify the round-trip).

Plugin installs always get the `Stop` backstop. The manual installer

(scripts/install.mjs) exposes a --no-stop flag to omit it, but a plugin's

hooks.json is static — it can't take install-time flags — so the Stop

hook is always included here. It's debounced (~10 min per session), so it

stays quiet; PreCompact and the mid-session nudges do most of the work.

The hooks reference ${CLAUDE_PLUGIN_ROOT}, which Claude Code, Cursor, and Codex expand to this plugin's install directory. Every event's command is node "${CLAUDE_PLUGIN_ROOT}/hooks/run.mjs" (Cursor ignores a separate args array). Hook scripts write per-session debounce/branch/primer state under ~/.coralswarm/state/ (shared with the manual-install path). The primer runs once per session_id so a dual Claude+Cursor install does not inject twice.

Session metadata & the credential-stripping guarantee (Phase 2)

The SessionStart primer reads the hook stdin payload and collects best-effort session metadata — unavailable fields are omitted and the hook keeps running if git/env is missing. Saving a session checkpoint still requires a session_id; optional provenance can be omitted. The git remote is run through hooks/project-key.mjs, a byte-for-byte parity port of the backend v1 normalizer (backend/src/project_key.rs), which unconditionally strips embedded credentials before the value is ever injected into the prompt — a token-bearing remote like https://x:ghp_secret@github.com/a/b.git is only ever emitted as github.com/a/b. These values are best-effort provenance; the server re-normalizes and re-validates everything.

Agent sessions — background runs, bots and their subagents

A bot or background worker saves an agent session by passing both a stable session_id and session_kind="agent" to add_context, with agent_name and its actual client platform. Keep the same session ID across topics and use a new checkpoint ID for each milestone. session_kind alone leaves the save as a note.

In a supported harness, naming the agent is enough: set CORALSWARM_AGENT_NAME (or run under the Claude Agent SDK, which names itself via CLAUDE_AGENT_SDK_CLIENT_APP) before startup, and the primer emits agent_name alongside the harness's session ID — the server infers session_kind=agent from that name's presence. Set CORALSWARM_SESSION_KIND=agent explicitly (plus CORALSWARM_PLATFORM, CORALSWARM_TASK) only for a harness the server can't otherwise identify. Custom bots call MCP directly and keep session/checkpoint IDs in their run state. See the save contract and examples for standalone notes, coding conversations, bot checkpoints, retries, and confirming what was saved. See agent setup for environment variables and linking each subagent's own session to its parent.

Deterministic reconciliation — how crashed/killed sessions get recovered

The nudges above are model-driven: they only help if the agent acts on them. Three ways work still slips through:

  • a hard kill — SIGKILL, a closed laptop, an OOM — fires no exit hook at all, so nothing can flush at death;
  • the agent ignores a mid-session nudge;
  • a long single turn does a lot of work between debounced reminders.

Because a dead session can't write a "you have unsaved work" marker *at* death, the plugin writes a heartbeat continuously during normal operation and reconciles at the start of the next session. It keeps a tiny per-session record — paths and timestamps only, never transcript content — at ~/.coralswarm/state/sessions/{session_id}.json:

  • SessionStart, UserPromptSubmit, and Stop/PreCompact bump last_activity_at (and record the transcript path, cwd, and project key);
  • the PostToolUse hook stamps last_save_at whenever add_context runs. When a *recovery* save passes the original session's session_id in the tool input, the stamp lands on that session's record — which is what lets a save in a later session deterministically clear an earlier session's pending flag.

On the next fresh SessionStart, the primer scans the ledger for records whose last_activity_at is after their last_save_at (i.e. work that was never saved), scoped to the same project, within the last 7 days, excluding the current session, capped at the 3 most recent. For each, it injects a bounded instruction to read only the tail of that session's local transcript (these files can be hundreds of MB — never the whole thing), curate a concise summary, and add_context it with the original session_id. That save clears the flag. A session is offered at most twice, then marked abandoned so the list stays clean; records older than 30 days are pruned.

This stays entirely local: no backend changes, no long-lived tokens, no raw-transcript upload. The model still curates exactly what gets saved — the ledger only makes the *reminder* deterministic. Injection hygiene: ledger values are data, so a candidate is only offered when its session_id is uuid-shaped and its transcript path is a real file physically under your home directory; ids and paths are control-char-stripped and JSON-escaped, and no transcript content is ever read into the primer.

Tunable via env (finite-positive-clamped, like the interval vars): CORALSWARM_RECONCILE_WINDOW_DAYS (7), CORALSWARM_RECONCILE_PRUNE_DAYS (30), CORALSWARM_RECONCILE_MAX_OFFERS (2), `CORALSWARM_RECONCILE_MAX_CANDIDA

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