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# OptiGate — Self-Hosted MCP Gateway with Token-Sparing Tool Retrieval

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**Your optimized, self-hosted MCP gateway.** One endpoint for all your MCP
servers — with token-sparing tool retrieval built in.
Optional: with **decision-model based reranking**.

📚 **Documentation:** https://ninjaede.github.io/optigate

OptiGate is a self-hosted MCP (Model Context Protocol) server registry and
gateway for LLM tools. It manages your MCP servers (registration, health,
approval workflow, audit, per‑tenant credential isolation) and exposes them
to any MCP client — Claude, ChatGPT, Hermes, coding agents — through a
single Streamable HTTP endpoint. Instead of loading hundreds of tool schemas
into the LLM context, clients query two meta‑tools and retrieve only the
tools they actually need.

```
MCP Client ──▶ POST /mcp ──▶ OptiGate ──▶ managed MCP servers (HTTP/SSE/stdio)
                search_tools + execute_tool only
```

## Why

- **Token explosion** — dozens of MCP servers with hundreds of LLM tools don't
  fit into a context window. OptiGate's token-sparing retrieval returns the
  top‑k relevant tools per query (~200–800 tokens regardless of registry
  size), cutting LLM context usage and token costs.
- **No governance** — who may register which server? Which tool was called
  when, by whom, with what arguments? OptiGate ships roles, approval workflow,
  full audit log, and per‑tenant credential isolation.
- **N+1 client configuration** — without an MCP gateway, every client needs
  every server registered individually. With OptiGate, one entry covers them all.
- **Cloud lock‑in** — OptiGate is fully self-hosted (Docker Compose, MIT
  licensed): your tool traffic, credentials, and audit data stay on your own
  infrastructure — homelab, VPS, or on‑prem.

## Who is it for

- **AI agent builders** connecting Claude, GPT, or open‑weights models to
  self-hosted LLM tools without blowing the context window.
- **Homelabs & small teams** running private MCP servers (files, media,
  smart home, scrapers) behind one governed MCP gateway.
- **Platform teams** needing multi‑tenant tool access with audit trails,
  approval gates, and per‑tenant credentials.

## Features

| | |
|---|---|
| **Token‑sparing retrieval** | `search_tools(query, k)` returns the k most relevant tool cards across all managed servers |
| **Decision‑model reranking** | Optional `mode="decision"`: a decision model (Jev via OpenRouter, or any OpenAI‑compatible endpoint) semantically reranks the candidates and may report "no matching tool" |
| **MCP facade** | The registry itself is an MCP server: `search_tools` + `execute_tool` over stateless JSON‑RPC at `/mcp` |
| **Self‑hosted & Docker‑ready** | MIT licensed, runs anywhere with Docker Compose — your LLM tools and credentials never leave your infrastructure |
| **Multi‑transport** | Manages `streamable_http`, `sse`, and `stdio` servers |
| **Governance** | Scopes (`global` / `tenant` / `private`), approval workflow, disable/enable, full audit trail |
| **Auth** | Keycloak JWT (RS256/JWKS) in production, local username/password login, dev mode for local testing |
| **Self‑updating index** | Auto‑connects healthy servers on boot (3 retries each), keeps the tool index fresh on a loop with jitter |
| **Per‑tenant credential bindings** | Shared servers connect with each tenant's own credentials; bindings persisted in Postgres |
| **Args validation** | Tool arguments are validated against `inputSchema` before forwarding (required fields + type checks) |
| **SSRF protection** | URL allowlist via `SSRF_ALLOWED_HOSTS` env; built‑in deny of loopback/link‑local addresses |
| **Rate limiting** | 200 req/min global via `@fastify/rate‑limit` |
| **Admin UI** | Server cards with status badges, custom key/value headers, live tool search view, audit feed — DE/EN/FR |

## Admin UI
![alt text](assets/image.png)

## Quick Start (Docker Compose)

The fastest way to run OptiGate is the bundled Compose stack — no local Node
or Postgres required:

```bash
# Copy the example env and adjust
cp .env.example .env

# Development stack: Postgres + API (hot reload via tsx watch) + Web UI (Vite HMR)
docker compose -f docker-compose.dev.yml up

# UI   → http://localhost:3030
# API  → http://localhost:8100/health
# MCP  → http://localhost:8100/mcp
```

For production:

```bash
# Set these in your environment or .env:
#   AUTH_MODE=keycloak   KEYCLOAK_URL=...   KEYCLOAK_REALM=...
#   SECRET_ENCRYPTION_KEY=...   POSTGRES_PASSWORD=...
docker compose up --build -d

# UI  : http://localhost:8080  (nginx, /api proxied to the server)
# API : http://localhost:8100  (Keycloak JWT required)
```

Data lives in the `pgdata` volume; the schema is created idempotently on boot.

### Run without Docker

Both services are plain Node projects:

```bash
cd server && npm i && AUTH_MODE=dev npm run dev    # API on :8100
cd web    && npm i && npm run dev                  # UI on :5173 (proxies /api)
```

Without `DATABASE_URL` the server runs on an **in‑memory repository** — handy
for trying it out, but data is lost on restart.

## Connecting MCP clients

Register OptiGate once in any MCP client:

```json
{
  "mcpServers": {
    "optigate": {
      "type": "http",
      "url": "http://localhost:8100/mcp",
      "headers": { "x-dev-user": "alice" }
    }
  }
}
```

That's it — `search_tools` and `execute_tool` now give the client access to
every visible registry server.

For machine clients (agents, CI) without Keycloak, admins can issue
**gateway API keys** (`POST /api/api-keys` — admin: own tenant only,
superadmin: any tenant; also manageable in the UI's API-Keys view).
Keys are gateway-only (`/mcp`, never `/api`), bound to a
user/role/tenant, and shown in plaintext exactly once. Note: on the
gateway, visibility only distinguishes superadmin keys (platform-wide)
from the rest (tenant-scoped) — an admin key sees what a user key of the
same tenant sees:

```json
{
  "mcpServers": {
    "optigate": {
      "type": "http",
      "url": "http://localhost:8100/mcp",
      "headers": { "x-api-key": "og_..." }
    }
  }
}
```

## How the token saving works

OptiGate's token-sparing retrieval keeps LLM context usage flat:

1. `search_tools("chart", k=5)` → lexically scored tool cards (name,
   description, input schema) across all indexed servers.
2. `execute_tool(server_id, tool_name, args)` → routed through the connection
   pool; only `healthy/degraded` servers, scope‑checked for the caller, args
   validated against the cached schema.

Context cost stays constant no matter whether you manage 20 or 2,000 tools.
The web UI has a **Tool Search** view that runs the exact same retrieval path,
so you can inspect what agents would see.

## Decision‑model reranking (`mode="decision"`)

Lexical search is fast but misses paraphrases ("download web page" vs. a tool
named `http_fetch`). Opt‑in per request, `search_tools` can hand its candidate
pool to a **decision model** that reranks semantically — and may honestly
report "no matching tool" instead of guessing:

```json
// tools/call search_tools
{ "query": "download web page", "k": 5, "mode": "decision" }
```

Two backends are supported through one provider‑agnostic interface:

| Provider | Endpoint | Notes |
|---|---|---|
| `jev` | TypeSafe AI System One (`Choice` primitive with per‑option probabilities + confidence) | Via OpenRouter (`https://openrouter.ai/api/v1`, model `typesafe/jev-1.13`) or first‑party (`https://api.typesafe.ai`) |
| `openai-compatible` | Any chat‑completions endpoint (OpenAI, Ollama, OmniRoute, …) | Temperature 0, JSON output, strictly validated against the candidate set |

Behavioral guarantees:

- **Reranker, never retriever** — lexical search builds the candidate pool
  (`decisionModel.candidatePool`, default 20); the model only re‑orders it.
- **"None" is a first‑class answer** — with `none` the response is empty plus a
  confidence score, so agents can rephrase instead of calling the wrong tool.
- **Fail‑safe** — timeout, error, or invalid model output falls back to lexical
  results; the second content block always reports
  `{used, provider, fallback, latencyMs, …}`.
- **Injection‑safe** — the model selects only from supplied candidate keys
  (re‑validated server‑side); tool descriptions are treated as untrusted data
  and the model never executes anything (`execute_tool` is unchanged).

```bash
# .env — OpenRouter (key at https://openrouter.ai/settings/keys)
DECISION_MODEL_ENABLED=true
DECISION_MODEL_PROVIDER=jev
DECISION_MODEL_BASE_URL=https://openrouter.ai/api/v1
DECISION_MODEL_MODEL=typesafe/jev-1.13
DECISION_MODEL_API_KEY=<key>
DECISION_MODEL_TIMEOUT_MS=3000
DECISION_MODEL_CANDIDATE_POOL=20
```

The API key can also be stored at runtime in the UI's **Settings** view
(`decisionModel.apiKey`): it is AES‑256‑GCM encrypted at rest and never
returned in plaintext. Precedence for all `decisionModel.*` settings:
database value > environment variable > built‑in default.

**Forcing reranking server-side:** by default the LLM opts in per call via
`mode="decision"`. Set `decisionModel.forceWhenConfigured=true`
(`DECISION_MODEL_FORCE=true`) and every `search_tools` call — gateway and
REST alike — is reranked once a model is configured, no matter which mode
was requested. Forced responses carry `"forced": true` in the decision
metadata, so callers can always tell what happened. Note the cost implication:
every search then pays model tokens + latency.

## Multi‑tenancy & user separation

Every request carries an authenticated identity (`AuthContext`) consisting of
`userId`, `role`, and `tenantId`. This identity drives three policy checks:

**1. Scope visibility (`canView`) — what may this user see?**

| Server scope | Who sees it |
|---|---|
| `global` | everyone |
| `tenant` | users whose `tenantId` matches the server's tenant |
| `private` | only the user who registered it (`ownerId === userId`) |

All list/search/execute endpoints filter through this rule, so tenants cannot
see each others' servers and private servers stay invisible to everyone else.

**2. Registration rights (`canRegister`) — who may register what?**

`global` scope requires `superadmin`; `tenant` and `private` require at least
`admin`. The registering user's tenant/user id is stored on the server record
and later used for visibility and ownership checks.

**3. Approvals (`canApprove`) — supply‑chain gate**

New servers start as `pending_approval` when `APPROVAL_REQUIRED=true`; only
`superadmin`s can approve them into `healthy` state (or re‑enable disabled
ones). Unapproved servers never appear in any index or search result.

**4. Credential bindings — shared servers, per‑tenant credentials**

Shared HTTP/SSE servers are visible platform‑wide, but each tenant can
bind its own credentials via the bindings API (`PUT
/api/servers/:id/bindings/:tenantId`). The connection pool resolves the
caller's tenant scope and injects the correct auth headers on every request.
Bindings are persisted in Postgres (`server_credential_bindings` table).

In production the identity comes from a Keycloak JWT: `userId` from the
`sub` claim, roles from `realm_access`/`resource_access`, and `tenantId` from
the first `organization` claim.

## Dev authentication (`AUTH_MODE=dev`) and its headers

Dev mode skips token verification and derives the identity from optional
request headers — so you can test multi‑user behavior locally without an IdP:

| Header | Default | Meaning |
|---|---|---|
| `x-dev-user` | `dev-user` | Sets the `userId` (owner of `private` servers, audit actor) |
| `x-dev-role` | `superadmin` | One of `superadmin` / `admin` / `user` — controls registration and approval rights |
| `x-dev-tenant` | `dev-tenant` | Sets the `tenantId` — controls visibility of `tenant`-scoped servers |

Example — simulate a plain user of another tenant:

```bash
curl -H "x-dev-user: bob" -H "x-dev-role: user" -H "x-dev-tenant: other" \
  http://localhost:8100/api/servers
```

Without these headers every dev request acts as the default superadmin in
`dev-tenant`.

> **Warning:** dev headers grant full identity control by design. Never run
> `AUTH_MODE=dev` on a network‑exposed instance; use Keycloak or local mode instead.

## Local authentication (`AUTH_MODE=local`)

Username/password login without any external IdP — for home labs and small
teams that don't run Keycloak. Passwords are stored as scrypt hashes
(`local_users` table in Postgres, in-memory otherwise); sessions are
self-signed HS256 JWTs.

```bash
# .env
AUTH_MODE=local
LOCAL_JWT_SECRET=<min-32-chars-secret>
LOCAL_BOOTSTRAP_ADMIN_USER=admin
LOCAL_BOOTSTRAP_ADMIN_PASSWORD=<min-10-chars>
```

On first boot with an empty user table, the bootstrap superadmin is created
once. Afterwards sign in via the UI login form (or `POST /auth/login`) and
manage the rest in the **Benutzer** view (`GET/POST/PATCH/DELETE
/api/users`) — admins manage their own tenant only, superadmins manage all.
There is no self-signup. Deactivated users lose access immediately, including
already-issued tokens (checked against the user record on every request).

```bash
# Login from the shell
curl -X POST http://localhost:8100/auth/login \
  -H 'Content-Type: application/json' \
  -d '{"username":"admin","password":"..."}'
# → {"token":"...","expiresAt":"...","user":{...}}

curl http://localhost:8100/api/servers \
  -H "Authorization: Bearer <token>"
```

## Configuration

| Variable | Default | Purpose |
|---|---|---|
| `AUTH_MODE` | `keycloak` | `dev` = header‑based identity, no token required · `local` = username/password login, no Keycloak · `keycloak` = RS256/JWKS bearer verification |
| `LOCAL_JWT_SECRET` | – | **Required in local mode** — HS256 signing secret for session JWTs (min 32 chars) |
| `LOCAL_JWT_TTL` | `12h` | Local session lifetime (`12h`, `30m`, `7d`, `900s` or ms) |
| `LOCAL_BOOTSTRAP_ADMIN_USER` / `LOCAL_BOOTSTRAP_ADMIN_PASSWORD` | – | First superadmin, created once when the user table is empty (password min 10 chars) |
| `LOCAL_BOOTSTRAP_ADMIN_TENANT` | – | Optional tenant for the bootstrap admin (empty = platform-wide) |
| `DATABASE_URL` | – | Postgres connection; unset = in‑memory repository |
| `APPROVAL_REQUIRED` | `true` | New servers start as `pending_approval` |
| `PORT` | `8100` | API listen port |
| `SECRET_ENCRYPTION_KEY` | – | AES‑256‑GCM key for direct secret entry (min 32 chars) |
| `KEYCLOAK_URL` | – | Keycloak issuer URL |
| `KEYCLOAK_REALM` | – | Keycloak realm name |
| `KEYCLOAK_AUDIENCE` | realm value | Expected JWT audience |
| `SSRF_ALLOWED_HOSTS` | – | Comma‑separated allowed hosts/globs for outgoing MCP connections; when set, only listed hosts connect; unset allows all routable targets except loopback/private/link‑local |
| `SSRF_ALLOW_PRIVATE_RANGES` | `false` | Home‑lab escape hatch: also allow loopback/private/link‑local targets (also as `ssrf.allowPrivateRanges` setting) |
| `RATE_LIMIT_MAX` | `200` | Global rate limit (requests/minute/IP, also as `ratelimit.max` setting) |
| `RECONCILE_INTERVAL_MS` / `RECONCILE_RETRY_MS` / `RECONCILE_MAX_STALE` | `60000` / `5000` / `10` | Tool index refresh tuning (also as `reconciler.*` settings) |
| `SEARCH_DEFAULT_LIMIT` / `SEARCH_MAX_LIMIT` | `5` / `20` | Tool retrieval top‑k bounds (also as `search.*` settings) |
| `AUDIT_LIMIT` | `100` | Audit feed length (also as `audit.limit` setting) |
| `GATEWAY_DISPATCH_TIMEOUT_MS` | `30000` | Per‑request timeout of the `/mcp` gateway (also as `gateway.dispatchTimeoutMs` setting) |
| `DECISION_MODEL_ENABLED` | `false` | Opt‑in switch for `search_tools` `mode="decision"` (also as `decisionModel.enabled` setting) |
| `DECISION_MODEL_PROVIDER` | `openai-compatible` | `jev` (TypeSafe System One) or `openai-compatible` chat‑completions endpoint |
| `DECISION_MODEL_BASE_URL` | – | Provider base URL, e.g. `https://openrouter.ai/api/v1` or `https://api.typesafe.ai` |
| `DECISION_MODEL_MODEL` | – | Model id, e.g. `typesafe/jev-1.13` (pinned; default `jev-latest` for the `jev` provider) |
| `DECISION_MODEL_API_KEY` | – | Provider API key — store via Settings view to keep it AES‑256‑GCM encrypted at rest |
| `DECISION_MODEL_TIMEOUT_MS` / `DECISION_MODEL_CANDIDATE_POOL` | `3000` / `20` | Model call timeout and lexical candidate pool size for reranking |
| `DECISION_MODEL_FORCE` | `false` | Force reranking for every `search_tools` call once a model is configured (also as `decisionModel.forceWhenConfigured` setting) |
| `CORS_ORIGIN` | all origins | Comma‑separated allowed CORS origins for the API |
| `MAX_CONNS_PER_SERVER` | `20` | Max simultaneous connections per upstream MCP server (also as `pool.maxConnsPerServer` setting) |

All of the above (plus `registry.approvalRequired`) are runtime‑tunable by
admins in the UI's **Settings** view (`GET/PUT/DELETE /api/settings`) —
precedence: database value > environment variable > built‑in default.
Security‑sensitive keys (`ssrf.*`, `registry.approvalRequired`) require
superadmin; every change is audited as `setting.changed`.

## Security features

| Measure | What it does |
|---|---|
| **SSRF protection** | `SSRF_ALLOWED_HOSTS` env blocks unlisted hosts; deny‑list for 169.254.169.254, loopback, link‑local |
| **Args validation** | Required fields and types checked against `inputSchema` before forwarding |
| **Rate limiting** | 200 req/min global via `@fastify/rate‑limit` |
| **Audit scope** | `GET /api/audit` filters by caller's tenant (superadmin sees all) |
| **IDOR protection** | Tool listings, server details & bindings checked against `canView` policy |
| **Secrets at rest** | AES‑256‑GCM (`SECRET_ENCRYPTION_KEY`); plaintext never in DB or responses |
| **Dev‑mode guard** | `AUTH_MODE=dev` only; Keycloak mode requires valid RS256 JWT |

## Development

```bash
cd server && npm test          # vitest (92+ tests)
cd server && npm run lint      # eslint
cd server && npm run typecheck # tsc --noEmit
cd server && npm run build     # tsc → dist/
cd web    && npm run build     # vite build
```

## Stack

Node.js 24 · Fastify · TypeScript · official MCP SDK · Postgres 17 ·
React 18 · Vite · Tailwind CSS v4

## License

MIT — free to use, modify, and distribute.

If this project saves you time or helps your agents work better, you can
support it here:

[☕ Buy me a coffee](https://buymeacoffee.com/ninjaede)

---
*MCP gateway · Model Context Protocol registry · token-sparing tool retrieval · self-hosted LLM tools · LLM tool router · AI agent tooling · reduce LLM context usage and token costs*