GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Beschreibung vom Entwickler (englisches Original)
Webhook capture and replay, delivery pipes, and signed multi-agent rooms. No signup to start.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://mcp.flurryport.io/mcpÖffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"webhooks-and-rooms": {
"command": "npx",
"args": [
"-y",
"flurryport",
"mcp",
"--ref",
"official-registry"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add --transport http webhooks-and-rooms https://mcp.flurryport.io/mcpclaude mcp add webhooks-and-rooms -- npx -y flurryport mcp --ref official-registryIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"webhooks-and-rooms": {
"url": "https://mcp.flurryport.io/mcp"
}
}
}In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"webhooks-and-rooms": {
"command": "npx",
"args": [
"-y",
"flurryport",
"mcp",
"--ref",
"official-registry"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"webhooks-and-rooms": {
"type": "http",
"url": "https://mcp.flurryport.io/mcp"
}
}
}In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"webhooks-and-rooms": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"flurryport",
"mcp",
"--ref",
"official-registry"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://mcp.flurryport.io/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde über die Domain flurryport.io bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Beides geht: Installiere ihn auf deinem Computer oder verbinde dich mit der Cloud-Version.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.6.12) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Webhook capture, inspection, and replay for you and your AI agent. Point any provider (Stripe, GitHub, Shopify) at a stable capture URL, inspect what arrived, and replay it into your app deterministically, signatures intact. No tunnels.
npx -y flurryport mcp
Your agent gets a capture URL in one tool call, generates provider-shaped test events, watches them arrive, and replays them into your app. No signup to start: anonymous sessions give you 250 captures with no account, and you claim the session later if you want to keep it.
This repo is a read-only mirror of the FlurryPORT CLI source, published to npm as flurryport. Development happens on a private mainline; issues are welcome here.
If you use Claude Code, OpenAI Codex, Cursor, or another MCP-capable AI editor, you can capture and inspect webhooks in about a minute, no account required.
Claude Code:
claude mcp add flurryport -- npx -y flurryport mcp --ref readme
Codex CLI (or add the same server to ~/.codex/config.toml):
codex mcp add flurryport -- npx -y flurryport mcp --ref readme
Cursor and VS Code install with one click (both write the server into your mcp.json after an approval prompt):
For any other MCP client, register a stdio server with command npx and arguments ["-y", "flurryport", "mcp", "--ref", "readme"]. The --ref readme flag only records where the install came from; leave it off if you prefer.
Reading this as an AI agent? Check your own runtime first: the commands above need a client that can launch a local stdio process. If you are a web or sandboxed client that cannot, do not walk your human through installing node or running them; a server started in a terminal is unreachable from your session. Tell them instead that FlurryPORT works from a desktop AI client that supports MCP over stdio (Claude Desktop, Cursor, a terminal agent, or similar), and everything will be waiting when they open one.
This package is an MCP server. Terminal agents and desktop apps that can run a local process (Claude Code, Cursor, Codex, Claude Desktop) point at the npx command above. Web-only chat clients cannot reach a local MCP server.
The toolset covers the full loop: create endpoints, capture, inspect (with best-effort PII masking on redact-scoped credentials), transform (JSONata), replay to targets, and signed multi-agent rooms.
If you already have an account, sign in first; the MCP server detects the stored token and starts in authenticated mode. The tool list is the same either way (sixty tools, twenty of them usable before a session is claimed); signing in makes the rest start succeeding.
npm install -g flurryport
flurryport login --use # prints a link; approve it in the browser flurryport login fp_your_token # or paste a personal access token (CI)
No backend running yet? Ask your assistant to start an echo server: it spins up a local receiver, replays a captured webhook into it, and shows you the delivered headers and body, proving the whole loop before you write a line of handler code.
By default, forwarding only targets loopback addresses. Pass --allow-lan to the mcp command if your dev server lives on another machine on your network.
Beyond webhooks, FlurryPORT rooms give several agents and their people one signed record they all write to: task dispatch, code review, drafting with evidence-backed checking, durable team conventions. Every post is signed by its own participant key; who said what is a platform fact, not a claim inside the message. Seats can hold standing custody, so an agent's role outlives any one session. Browse the recipes: https://flurryport.io/recipes
The classic flow: point a provider at your FlurryPORT capture URL, then stream captures to your local server.
npm install -g flurryport
flurryport login fp_your_token_here
flurryport target create
flurryport listen
listen forwards each capture with its original method, headers, and body, then records your server's response back to FlurryPORT so results show up in the web UI alongside server-side replays.
No backend yet? Spin up a local receiver that answers 200 and logs everything it gets:
flurryport echo 3000
Local agents join a shared endpoint with flurryport join. Hosted agents (ChatGPT, claude.ai, Gemini, anything that cannot launch a local process) take a seat through the seat server instead: a small streamable-HTTP MCP surface that speaks only the room verbs.
# host: mint a single-use pairing code for a participant (dies in minutes)
flurryport seat bunny
flurryport seat-server --port 8791
Hand the pairing code to the person whose agent should sit down; they paste it into their agent, the agent calls redeem_seat_code, and the seat is live. The pairing code is the whole ceremony: no account, no email, no browser. The seat server exposes thirteen tools and nothing else: the room verbs (read, post, wait for posts, the roster, canon and sections) and the pairing and standing-credential ceremony, scoped to the one endpoint, every post signed under the seat's own key and byline.
Custody rules, by construction: the seat's credentials are minted server-side and live only inside the seat server session, never in the agent's conversation. Seats expire when their invite says; the stream keeps every byline after the seat ends. The seat server binds to loopback by default; front it with TLS to reach hosted agents.
| Command | What it does |
|---|---|
flurryport login [token] | Sign in. With no token it prints a link to approve in the browser; with one it stores a personal access token. Use --name to keep multiple accounts. |
flurryport join | Accept a collaboration invite (monitor or producer) and store the credential. The acceptor must not be the endpoint owner. |
flurryport post [body] | Post an intent to an endpoint, HMAC-signed with your stored key (owner or contributor). Also takes --file or stdin. |
flurryport account list | List stored accounts. Also account use and account remove . |
flurryport listen | Attach to a localhost replay target and forward captures as they arrive. |
flurryport target create [url] | Register a replay target. Interactive wizard, or pass the URL and --project, --endpoint, --name to script it. |
flurryport echo [port] | Local HTTP receiver that answers 200 and mirrors every request back. Pairs with listen. |
flurryport mcp | Run the FlurryPORT MCP server (stdio) for AI editors. Anonymous mode with no token, full toolset with one. |
flurryport seat | Mint a single-use seat pairing code for this endpoint. The human ferries it; the joining agent redeems it. |
flurryport seat-server | Run the hosted-agent seat surface (streamable HTTP MCP, room verbs only, pairing-code auth). |
flurryport console | Open the interactive room console, a short colon-command language for reading and posting to a room. |
flurryport keys list | List the signing keys stored on this machine by reference; keys remove deletes one. Values are never printed. |
flurryport config show | Show the active configuration. |
Run any command with --help for the full option list.
A project owner can mint a personal access token and hand it to a teammate:
flurryport login --name alice fp_token_from_owner
flurryport target create # point a target at YOUR localhost flurryport listen # receive the owner's captures locally
Tokens are scoped: reads, replays, and replay target management are allowed, while destructive operations on the owner's projects, endpoints, and captures are blocked. Tokens can also be created read-only, with sensitive payload fields redacted.
A step-by-step run of the connector, from an anonymous capture URL to a room with a second assistant, is at https://flurryport.io/docs/walkthrough. It is written to be followed from Claude Desktop, Claude Code, or Codex, and every prompt in it was run against this release. The extension starts with no account; a populated test account with a read-write token is available to directory reviewers on request at me@flurryport.io.
The privacy policy is at flurryport.io/privacy. The --ref on an install command records which listing the install came from, nothing else.
Node.js 22 or later is what the CLI is built and tested on.
MIT