SmartGate MCP server
Commit 2. Nov. 2026Ein Intelligence Layer, der es AI Agents ermöglicht, Research zu betreiben, Context zu komprimieren, Memory zu verwalten und Token-Budgets durch ein algorithmisches Gateway durchzusetzen.
Auch bekannt als smartgate-network/smartgate-workflows, smartgate-workflows
- Stars
- 3
- Tools
- 12
- Downloads, 30 Tage
- —
- Neueste Version
- 1.0.0
- Letzter Commit
- 2. Nov. 2026
- Lizenz
- MIT
Was ist SmartGate MCP?
SmartGate ist ein MCP server. Ein Intelligence Layer, der es AI Agents ermöglicht, Research zu betreiben, Context zu komprimieren, Memory zu verwalten und Token-Budgets durch ein algorithmisches Gateway durchzusetzen. Er stellt 12 Tools bereit, etwa smart_search, smart_fetch, smart_dedup.
Zusammenfassung generiert aus dem README des Projekts
Über SmartGate MCP server
SmartGate fungiert als Intelligence Layer, der zwischen AI Agents und externen Datenquellen sitzt. Es bietet ein spezialisiertes Gateway, das steuert, wie Agents mit der Außenwelt interagieren, indem es Research, Context Compression und Memory Management übernimmt. Anstatt als Chatbot oder Model Router zu agieren, fungiert es als algorithmische Schicht, die durch das Durchsetzen von Token-Budgets hilft, unerwartete Kosten durch unkontrollierte Tool-Nutzung zu vermeiden.
Entwickler können über Streamable HTTP auf diesen Service zugreifen, indem sie einen API-Key nutzen, den sie im SmartGate Dashboard erhalten. Es ist mit einer Vielzahl von Clients kompatibel, darunter Cursor, Claude Code, Claude.ai, Zed und verschiedene andere MCP-fähige Umgebungen wie Goose oder OpenClaw. Das System nutzt sieben spezifische Primitives wie smart_search und smart_memory, um komplexe Aufgaben über eine einzige Interface auszuführen.
Durch die Nutzung dieses Gateways können Agents mehrstufige Operationen durchführen, wie etwa die Suche nach Quellen, das Lesen von Seiten als Markdown und das Deduplizieren von Informationen, bevor diese das Host-Modell erreichen. Dies stellt sicher, dass der Context sauber bleibt und innerhalb der definierten Limits liegt, was es zu einem essenziellen Tool für Entwickler macht, die autonome Agents mit zuverlässigen Research- und Memory-Fähigkeiten bauen.
Was du damit machen kannst
- 1Automatisierte Web-ResearchEin Agent kann mehrere Online-Quellen finden und den Seiteninhalt in Markdown umwandeln, um die Verarbeitung zu erleichtern.
- 2Token-Budget-ManagementEin Entwickler kann einen Agent anweisen, seinen eigenen Token-Verbrauch zu überwachen und zu begrenzen, um hohe Kosten zu vermeiden.
- 3Persistentes Team-WissenDu kannst eine KI damit beauftragen, spezifische Fakten zu speichern und abzurufen, die über verschiedene Sessions hinweg gespeichert bleiben müssen.
- 4Context-OptimierungEin Agent kann die Menge der an ein Modell gesendeten Daten reduzieren, indem er Duplikate entfernt und Texte komprimiert.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du SmartGate MCP
Formate geprüft am 10. Nov. 2026Zu Cursor hinzufügenZu Goose hinzufügenSmartGate MCP in Claude Code installieren
$ claude mcp add --transport http smartgate-workflows https://smartgate.network/api/mcpSmartGate MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"smartgate-workflows": {
"url": "https://smartgate.network/api/mcp"
}
}
}SmartGate MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"smartgate-workflows": {
"type": "http",
"url": "https://smartgate.network/api/mcp"
}
}
}SmartGate MCP in VS Code CLI installieren
$ code --add-mcp '{"name":"smartgate-workflows","type":"http","url":"https://smartgate.network/api/mcp"}'SmartGate MCP in Codex installieren
$ codex mcp add smartgate-workflows --url https://smartgate.network/api/mcpSmartGate MCP in Codex config.toml installieren
~/.codex/config.toml
[mcp_servers.smartgate-workflows] url = "https://smartgate.network/api/mcp"
SmartGate MCP in Gemini CLI installieren
$ gemini mcp add -s user --transport http smartgate-workflows https://smartgate.network/api/mcpSmartGate MCP in Gemini settings.json installieren
~/.gemini/settings.json
{
"mcpServers": {
"smartgate-workflows": {
"url": "https://smartgate.network/api/mcp",
"type": "http"
}
}
}SmartGate MCP tools 12
Erkannt aus dem READMEsmart_searchsmart_fetchsmart_dedupsmart_context_gatesmart_budget_guardsmart_memorysmart_pipesmartgate-workflowssmartgate-research-agentsmartgate-deep-readingsmartgate-remember-and-recallsmartgate-usage-report
| smart_search | — | |
| smart_fetch | — | |
| smart_dedup | — | |
| smart_context_gate | — | |
| smart_budget_guard | — | |
| smart_memory | — | |
| smart_pipe | — | |
| smartgate-workflows | — | |
| smartgate-research-agent | — | |
| smartgate-deep-reading | — | |
| smartgate-remember-and-recall | — | |
| smartgate-usage-report | — |
Automatisierte Checks
Geluften am 14. Nov. 2026Vollständiger Bericht →Noch nicht verifiziert. Ein Server benötigt einen Score von 80, keine kritischen Befunde und genug Daten für unsere Prüfung. Wie die Checks funktionieren · Was du für mehr Punkte verbessern kannst
- Source Repository verknüpft und erreichbarsmartgate-network/smartgate-workflows is public and reachablegithub.com/smartgate-network/smartgate-workflows ↗Bestanden
- Paket nennt dieses Repository als QuelleNicht geprüft
- Build-Provenienz (Sigstore-Attestierung)Nicht geprüft
- Open Source Lizenz (OSI)MITspdx.org/licenses/MIT.html ↗Bestanden
- Commit oder Release im letzten JahrLast commit or release 2026-11-02github.com/smartgate-network/smartgate-workflows ↗Bestanden
- OpenSSF ScorecardNicht geprüft
- Package-Name ähnelt keinem populären PackageNicht geprüft
- Keine kritischen Advisories im Paket oder seinen AbhängigkeitenNicht geprüft
- Keine versteckten Anweisungen an das Modell12 tool descriptions and the README read; no override phrases, credential paths or hidden charactersBestanden
- Destruktive Tools sind markiertNo tool named like delete, drop or execBestanden
- Remote-Endpoint beantwortet den MCP-HandshakeHTTPS endpoint answered 401 (sign-in required)Bestanden
README
Auf GitHub ansehenSmartGate
AI Intelligence Layer — not another assistant or LLM proxy.
Official SmartGate plugin for Cursor, Claude Code, claude.ai, and Cowork.
SmartGate is the intelligence layer between AI and the world — helping you research, understand, remember, and act before runaway tool traffic becomes a surprise invoice.
On the surface: Smart Research, decisions, knowledge, and monitoring — no MCP required. Under the hood: an MCP-native algorithmic gateway with five capabilities (Research, Context, Memory, Control, Pipeline) powered by seven smart_* primitives. Human interface (Web) + agent interface (MCP/API). Not a chatbot, search app, or model router. The host model stays on the client.
Plugin mark for Cursor Marketplace is the 1:1 shield assets/logo.png. The banner is the official site OG card. The research demo is the same GIF as the homepage.
What is SmartGate MCP
Don't rebuild research infrastructure for every agent. Connect once over Streamable HTTP; the gateway fetches, searches, compresses, deduplicates, remembers, and hard-caps tool traffic before it reaches your model provider.
| Capability | What the agent does | Product |
|---|---|---|
| Research | Find sources, then read pages as Markdown | Traffic Customs |
| Context | Dedup overlapping hits, then compress | Token Control |
| Memory | Persist and recall team facts across sessions | Features |
| Control | Check, count, and cap token budget | Token Control |
| Pipeline | Run research / read / remember as one job | Tools |
- Product: smartgate.network · Features · Pricing
- Connect: Quick start · Connect · MCP endpoint
- Reference: Tools · Security · llms.txt
- Compliance: Audit · Privacy · Terms
Install
Mint a key at Dashboard → API Keys (sk_live_…). Never paste the key into chat or commit it.
Official MCP Registry name: network.smartgate/smartgate. Same endpoint: https://smartgate.network/api/mcp. The listing is metadata only — you still need the Dashboard Bearer key.
Cursor
- Install SmartGate from the Cursor Marketplace, or import this repo under Cursor Dashboard → Plugins → Team Marketplaces → Import from Repo:
https://github.com/smartgate-network/smartgate-workflows - Open Plugins → SmartGate → Configure and set
SMARTGATE_API_KEY - Restart Cursor (or reload the window) so the MCP handshake runs again
Claude (claude.ai / Cowork / Claude Code)
- Add SmartGate from Anthropic's directory, or load this repo locally:
claude --plugin-dir . - When Claude prompts for plugin configuration, set
SMARTGATE_API_KEY. In Claude Code you can also run/plugin configure @smartgate - Confirm the connector: on claude.ai / Cowork use the plugin's Connectors tab; in Claude Code run
/mcpand look forplugin:smartgate:smartgate
Gemini CLI
gemini extensions install https://github.com/smartgate-network/smartgate-workflows
Set SMARTGATE_API_KEY when the CLI prompts. Manifest: gemini-extension.json.
OpenClaw
Install the ClawHub skill, then add the hosted MCP:
openclaw skills install @smartgate.network/smartgate
Connect: Settings → MCP → Add server (Streamable HTTP, https://smartgate.network/api/mcp, Authorization: Bearer ${SMARTGATE_API_KEY}). Skill source: skills/smartgate/SKILL.md.
Hermes
From the Hermes MCP catalog:
hermes mcp install smartgate
Paste the Dashboard sk_live_… key when prompted (MCP_SMARTGATE_API_KEY).
Or add the hosted server in ~/.hermes/config.yaml and the key in ~/.hermes/.env:
mcp_servers:
smartgate:
url: "https://smartgate.network/api/mcp"
headers:
Authorization: "Bearer ${SMARTGATE_API_KEY}"
X-SmartGate-Agent-Platform: hermes
Skill (ClawHub):
hermes skills search smartgate --source clawhub
hermes skills install clawhub/smartgate.network/smartgate
Or add this repo as a skill tap: hermes skills tap add smartgate-network/smartgate-workflows.
AutoGPT
From AutoGPT's hosted MCP catalog, select SmartGate and paste the Dashboard sk_live_… key as the access token. Paste the key only — the client adds Bearer.
Or add an MCP Tool block: URL https://smartgate.network/api/mcp, auth Bearer, access token = Dashboard API key.
Zed
Settings → AI → MCP Servers → Add Server → Add Remote Server:
{
"context_servers": {
"smartgate": {
"url": "https://smartgate.network/api/mcp",
"headers": {
"Authorization": "Bearer ${SMARTGATE_API_KEY}",
"X-SmartGate-Agent-Platform": "zed"
}
}
}
}
Or install from Zed MCP extensions if SmartGate is listed there.
VS Code / GitHub Copilot
Command Palette → MCP: Add Server → HTTP. URL https://smartgate.network/api/mcp. Set header Authorization = Bearer ${SMARTGATE_API_KEY}.
Or browse the gallery: Extensions view → search @mcp smartgate.
OpenCode
Add a remote MCP in OpenCode config:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"servers": {
"smartgate": {
"type": "remote",
"url": "https://smartgate.network/api/mcp",
"oauth": false,
"headers": {
"Authorization": "Bearer {env:SMARTGATE_API_KEY}",
"X-SmartGate-Agent-Platform": "opencode"
}
}
}
}
}
Goose
Add a Streamable HTTP extension: URL https://smartgate.network/api/mcp, header Authorization: Bearer ${SMARTGATE_API_KEY}, X-SmartGate-Agent-Platform: goose. Skill source: skills/smartgate/SKILL.md.
Kilo Code
Install from the Kilo Marketplace, or connect the hosted MCP the same way as Cline — see llms-install.md.
Crush
Add a remote Streamable HTTP MCP in Crush config. URL https://smartgate.network/api/mcp, header Authorization: Bearer ${SMARTGATE_API_KEY}.
Cherry Studio
Settings → MCP → MCP Servers → Add. Import from JSON (type must be streamableHttp) or Quick Create → Streamable HTTP:
{
"mcpServers": {
"smartgate": {
"type": "streamableHttp",
"url": "https://smartgate.network/api/mcp",
"headers": {
"Authorization": "Bearer ${SMARTGATE_API_KEY}"
}
}
}
}
Enable the server, then Work → Agent → Edit → MCP and bind it.
AnythingLLM
Settings → Agent Skills, or edit plugins/anythingllm_mcp_servers.json (type is streamable, not streamable-http):
{
"mcpServers": {
"smartgate": {
"type": "streamable",
"url": "https://smartgate.network/api/mcp",
"headers": {
"Authorization": "Bearer ${SMARTGATE_API_KEY}"
}
}
}
}
Reload MCP servers in the UI, start SmartGate, then enable its tools for the workspace.
Other MCP clients (LibreChat, Open WebUI, Dify, Langflow, Flowise, n8n)
Any host that supports remote Streamable HTTP can connect with:
- URL:
https://smartgate.network/api/mcp - Header:
Authorization: Bearer ${SMARTGATE_API_KEY} - Official Registry name:
network.smartgate/smartgate
First run
After the MCP server shows as connected, try:
Check my SmartGate token allowance with smart_budget_guard action=check.
smart_fetch https://smartgate.network/docs/tools then summarize Token Control, Traffic Customs, and Audit.
Remember: our staging API rate limit is 100 req/min
Live tools/list schemas (purpose, params, returns) come from the hosted server, not this repo. Names are smart_* — there is no smartgate_compress_context. Full reference: Docs → Tools.
Tools (reviewer cheat sheet)
Every tool returns a JSON string. Parse it before synthesizing. Do not invent page content.
| Tool | Required | Optional | Returns |
|---|---|---|---|
smart_search |
query |
max_results (1–50, default 10) |
Search hits (results[].url, snippet) |
smart_fetch |
url (http/https) |
timeout (default 30s) |
Page markdown, title, url |
smart_dedup |
texts (string[]) |
threshold (0–1, default 0.9) |
Kept / removed indices or deduped texts |
smart_context_gate |
text |
ratio (default 0.5), purpose |
compressed, ratio, token counts |
smart_budget_guard |
action: check | count | record |
text / tokens by action |
Allowance, usage, or record ack |
smart_memory |
action: add | search | get | delete |
text (add), query (search), memory_id (get/delete) |
Shape depends on action |
smart_pipe |
template or steps |
query, url, text |
Per-step results. Templates: research, read, remember. Not for a single step. |
Skills shipped with this plugin:
| Skill | Routes |
|---|---|
smartgate-workflows |
Pick the right workflow |
smartgate-research-agent |
Multi-source research |
smartgate-deep-reading |
One known URL |
smartgate-remember-and-recall |
Team memory |
smartgate-usage-report |
Quota / usage (no content) |
Configure
Cursor Marketplace: Plugins → SmartGate → Configure → SMARTGATE_API_KEY. Cursor reads mcp.json (${SMARTGATE_API_KEY}).
Claude directory / Claude Code: /plugin configure @smartgate → SMARTGATE_API_KEY. Claude reads .mcp.json (${user_config.SMARTGATE_API_KEY}). Do not commit a real key.
Manual / reviewer fallback (only if you are not using the plugin): merge this into ~/.cursor/mcp.json (user) or <project>/.cursor/mcp.json (project), then restart Cursor. Replace the placeholder. If the plugin is also installed, delete this block so tools are not duplicated.
{
"mcpServers": {
"smartgate": {
"type": "streamable-http",
"url": "https://smartgate.network/api/mcp",
"headers": {
"Authorization": "Bearer sk_live_REPLACE_WITH_YOUR_KEY",
"X-SmartGate-Agent-Platform": "cursor"
}
}
}
}
Claude Code / claude.ai fallback (only if the plugin is not installed). Same endpoint, Claude's http type, and ${user_config.SMARTGATE_API_KEY} in the plugin copy of .mcp.json:
{
"mcpServers": {
"smartgate": {
"type": "http",
"url": "https://smartgate.network/api/mcp",
"headers": {
"Authorization": "Bearer sk_live_REPLACE_WITH_YOUR_KEY",
"X-SmartGate-Agent-Platform": "claude"
}
}
}
}
Hosted endpoint: POST https://smartgate.network/api/mcp (Streamable HTTP). Mint a key at Dashboard → API Keys. If you also add the standalone SmartGate MCP connector from the directory, use the same URL so tools are not duplicated.
Data handling
This plugin does not run fetch, search, compression, or memory inside Cursor or Claude. Those steps run on the hosted gateway at https://smartgate.network/api/mcp. The host model (Cursor or Claude) stays on the client.
- In transit: HTTPS +
Authorization: Bearer. The plugin ships no secrets. You setSMARTGATE_API_KEYin the host's plugin configure dialog (Cursor variables, or ClaudeuserConfig). - At rest: we store a hash of API keys, not the raw secret. Teams are isolated by the key's tenant. Do not pass a foreign
team_id. - What is logged: tool name, timestamp, token counts, and for fetch the requested URL. Retention: Free 7 days · Pro 30 · Teams 90 · Enterprise 180. See Security and Logs.
- Compression / dedup:
smart_context_gate(LLMLingua) andsmart_dedup(SemHash) run on SmartGate servers, not locally. They shrink or drop overlapping text; they are not a PII redaction product. Do not put secrets or credentials in tool arguments or memory. - What we do not do: we are not an LLM proxy and do not train a public chatbot on your prompts as a consumer product. Billing card data is handled by Paddle, not stored by us.
Privacy Policy · Terms · SECURITY.md · support@smartgate.network
Troubleshooting
| Symptom | Check |
|---|---|
| 401 Unauthorized | SMARTGATE_API_KEY is set in the host's plugin configure dialog; key is sk_live_… |
| Tools empty | Restart Cursor, or in Claude Code run /mcp and reconnect plugin:smartgate:smartgate |
| 405 on GET | Endpoint is POST /api/mcp, not GET SSE |
| Duplicate tools | Remove a hand-written smartgate block from ~/.cursor/mcp.json or ~/.claude.json |
Workflow source
workflows/ is the scenario source (YAML + Markdown). skills/ is the committed plugin pack, generated by:
pip install jsonschema pyyaml
python scripts/install-skills.py --client cursor --target skills --force
python tests/validate.py
| Workflow | Description |
|---|---|
| research-agent | search → fetch → dedup → compress |
| deep-reading | fetch → compress |
| remember-and-recall | team memory |
| usage-report | budget check / count |
Manual skill install (no Marketplace): see clients/README.md.
Maintainers
SmartGate · support@smartgate.network
License
SmartGate MCP Fragen
Wie füge ich SmartGate MCP zu Claude Code hinzu?
Führe claude mcp add --transport http smartgate-workflows https://smartgate.network/api/mcp in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich SmartGate MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Welche Tools bietet SmartGate MCP?
Er stellt 12 Tools bereit, darunter smart_search, smart_fetch, smart_dedup, smart_context_gate, smart_budget_guard.
Ist SmartGate ein LLM Proxy oder ein Chatbot?
Nein, es ist kein LLM Proxy, Chatbot, Search App oder Model Router; das Host-Modell verbleibt auf dem Client.
Welche Funktionen bietet das MCP Gateway?
Das Gateway bietet fünf Kernfunktionen: Research, Context, Memory, Control und Pipeline.