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CoralSwarm Connect

by CoralSwarmversion 1.1.2i★ –iRuns in the cloud
Registry namecom.coralswarm/coralswarm

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://api.coralswarm.com/mcp

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://api.coralswarm.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain coralswarm.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7235 servers in this category
  • Published to the registry more recently than 42% of the other 7235 servers in this category
  • Basic checks equal to or better than 100% of the other 7235 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is CoralSwarm Connect safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Only the beginning is shown; read the rest in the repo

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