scoped-mcp

Per-agent scoped MCP tool proxy. One server process per agent — loads only the tools that agent is allowed to use, enforces resource boundaries between agents, holds credentials so agents never see them, and logs every tool call to a structured audit trail.

The Problem

Multi-agent setups (Claude Code subagents, parallel workers, role-based agents) share the same MCP servers. Every agent sees every tool. Every agent holds credentials. Agent A can read Agent B's data. Audit logging is fragmented across a dozen server processes.

Existing solutions solve pieces:

• Aggregation gateways — combine servers, no scoping
• Access control proxies — filter tools per agent, no resource scoping
• Credential proxies — isolate credentials, no tool management
• Enterprise gateways — governance and auth, but cloud and team-oriented

None combine all four: tool filtering + resource scoping + credential isolation + audit logging.

scoped-mcp was built using the same multi-agent pattern it's designed to
secure — a research agent evaluated the problem space, a dev agent implemented
the code, each with scoped access to only the resources it needed. It runs
in production as part of homelab-agent,
a self-hosted Claude Code platform with purpose-built agents for different
infrastructure domains.

How It Works

Agent process (AGENT_ID=research-01, AGENT_TYPE=research)
    │
    ▼
┌─────────────────────────────────────────┐
│  scoped-mcp (one process per agent)     │
│                                         │
│  ① Load manifest for AGENT_TYPE         │
│  ② Register allowed tool modules        │
│  ③ Inject credentials into modules      │
│  ④ Every tool call:                     │
│     → enforce resource scope            │
│     → execute tool logic                │
│     → write audit log entry             │
└─────────────────────────────────────────┘
    │           │           │
    ▼           ▼           ▼
 Backend A   Backend B   Backend C
 (scoped)    (scoped)    (scoped)

flowchart LR
    subgraph agent["Agent Process"]
        A["AGENT_ID=research-01<br/>AGENT_TYPE=research"]
    end

    subgraph proxy["scoped-mcp (single process)"]
        direction TB
        M["Manifest Loader<br/><i>research-agent.yml</i>"]
        R["Module Registry"]
        C["Credential Injector"]
        EX["Tool Execution<br/>(scope → run → audit)"]

        M --> R
        R --> C
        C --> EX
    end

    subgraph backends["Backends (scoped)"]
        FS["Filesystem<br/><code>agents/research-01/</code>"]
        DB["SQLite<br/><code>agent_research-01.db</code>"]
        NT["ntfy<br/><code>topic: research-research-01</code>"]
    end

    ALOG["Audit Log<br/>(JSONL)"]

    A -- "MCP (stdio)" --> proxy
    EX --> FS
    EX --> DB
    EX --> NT
    EX --> ALOG

Quickstart

pip install scoped-mcp

# Set agent identity
export AGENT_ID="research-01"
export AGENT_TYPE="research"

# Run with a manifest
scoped-mcp --manifest manifests/research-agent.yml

Claude Code settings.json:

{
  "mcpServers": {
    "tools": {
      "command": "scoped-mcp",
      "args": ["--manifest", "manifests/research-agent.yml"],
      "env": {
        "AGENT_ID": "research-01",
        "AGENT_TYPE": "research"
      }
    }
  }
}

See examples/claude-code/ for a complete multi-agent setup.
See examples/launcher/ for stdio subprocess launcher templates — required when proxying
MCP servers that need credentials, since stdio subprocesses do not inherit the parent env.

Transports

scoped-mcp run supports two transports via --transport (default stdio, unchanged):

stdio is the default and needs no extra flags — it is what the Quickstart and Claude
Code settings.json examples above use.

http (added v1.6.0) runs scoped-mcp as a persistent streamable-http server so a
per-turn client recycle only drops a connection to a warm process — tool discovery no
longer re-runs and tools never disappear mid-session. It is intended for one long-lived
process per agent, supervised by PM2.

export AGENT_ID="research-01"
export AGENT_TYPE="research"
export SCOPED_MCP_BEARER_TOKEN="$(openssl rand -hex 32)"   # required for http

scoped-mcp run \
  --manifest manifests/research-agent.yml \
  --transport http \
  --port 9200 \
  --path /mcp            # default; --host defaults to 127.0.0.1

HTTP transport constraints:

• Bearer required — every request must send Authorization: Bearer <SCOPED_MCP_BEARER_TOKEN>.
  Missing or invalid tokens are rejected with 401 before any tool dispatch, using a
  constant-time compare. Startup refuses to run the HTTP transport if the env var is unset.
• Loopback only — the server binds 127.0.0.1; a non-loopback --host is refused.
  --port is required under http.
• Per-connection audit identity — each request resolves its own audit session_id
  from the MCP connection context, so a single long-lived process still emits distinct
  session ids for concurrent clients. The raw MCP session id is mapped to a stable,
  non-reversible UUID that never leaks into logs.
• Manifest edits require a restart — module discovery (_discover_tools()) runs
  exactly once, when the process starts. Under stdio, every new client connection was
  a fresh subprocess, so a manifest edit took effect automatically on the next session.
  Under http, the process is long-lived and a client reconnecting is just a new
  connection to the same warm server — a manifest edit (new tool_allowlist entries,
  new modules, etc.) has no effect until you run
  pm2 restart scoped-mcp-<agent>. scoped_mcp_status surfaces a manifest_stale: true
  flag (with a restart hint) once the manifest file's mtime moves past what the running
  process loaded — see Module Health below. (SMCP-24)

Client settings.json for an HTTP agent points at the URL rather than a command:

{
  "mcpServers": {
    "tools": {
      "type": "http",
      "url": "http://127.0.0.1:9200/mcp",
      "headers": { "Authorization": "Bearer ${SCOPED_MCP_BEARER_TOKEN}" }
    }
  }
}

Core Concepts

Agent Identity — AGENT_ID (unique instance) and AGENT_TYPE (role) set via environment variables at spawn time. The manifest maps agent types to allowed modules.

Tool Modules — one Python file per backend domain. Each module declares its tools, required credentials, and scoping strategy. The framework handles registration, credential injection, and audit wrapping.

Scoping Strategies — reusable patterns for resource isolation:

• PrefixScope — file paths, object store keys, cache keys scoped to agents/{agent_id}/
• NamespaceScope — key-value operations prefixed with agent's namespace
• Per-agent file — e.g. SQLite gives each agent its own database file at {db_dir}/agent_{agent_id}.db
• Custom — implement ScopeStrategy for your backend's isolation model

Credential Injection — backend credentials (API keys, DSNs, tokens) loaded once by the proxy process from environment variables or a secrets file. Modules receive credentials through their context — the agent process never sees them.

Logging — two structured JSON-L streams:

1. Audit log — what agents did. Every tool call, every scope check. Under stdio each entry carries the process-start session.id; under the long-lived HTTP transport the session.id is resolved per connection so concurrent clients stay distinguishable.
2. Operational log — what the server did. Startup, shutdown, config errors.

Both file sinks use a size-based RotatingFileHandler (v1.6.0) so a long-lived HTTP
process cannot grow an unbounded log — tune with SCOPED_MCP_LOG_MAX_BYTES (default
50 MiB) and SCOPED_MCP_LOG_BACKUPS (default 5). stdio-per-turn behaviour is unchanged.

Module Startup — when an agent connects, scoped-mcp starts all proxied/upstream modules concurrently (asyncio.gather) rather than one at a time. With ~17 upstream modules this cuts cold-start from ~5.5s to under 1s — roughly the time of the single slowest module — and removes the window where tools are briefly unavailable during per-connection restarts (e.g. under CloudCLI's stream-json driver). (v1.3.2)

Fault Isolation — a single module failure does not kill the server. Isolation is applied at three phases (v1.4.0):

• Import — if a module file raises on import (missing dependency, syntax error), it is recorded in failed_imports and discovery continues. Other modules are unaffected.
• Init — if a module's __init__ raises (bad config, missing credential), it is skipped. Other modules still instantiate and register normally.
• Startup — asyncio.gather runs with return_exceptions=True. A startup failure is recorded in module_health; the server yields and remaining modules' tools stay available.

Module Health — scoped_mcp_status is always registered regardless of manifest content. Call it at session start to get {modules, failed_count, total_count, healthy} with per-module status values: running, failed_import, failed_init, failed_startup. Set SCOPED_MCP_HEALTH_FILE to a path and the lifespan will write a JSON health report after startup completes — useful for session-start hooks or external health-check scripts that need file-based status without calling an MCP tool. The health file is rewritten on every credential-health transition (see below) and carries a written_at timestamp so an external watcher can detect a wedged process by staleness. (v1.4.0)

Credential Health, Self-Heal & Alerting — for credentials.source: vault, scoped_mcp_status and the health file also include a credentials block ({source, token_healthy, consecutive_failures, last_renewal_ok_ts, last_reauth_ts, seconds_to_expiry_est, reauth_enabled}), and top-level healthy goes false when the Vault token is unhealthy — so a process stuck in a permanent renewal-failure loop can no longer report healthy: true. Four layers make a silent credential failure both self-recovering and loud (SMCP-26):

• Self-heal re-auth — when renewal fails with a permission/403 class error or crosses the critical-failure threshold, scoped-mcp mints a fresh token with a full AppRole login. This covers the hard token_max_ttl ceiling that renew-self alone can never exceed. Opt-in via SCOPED_MCP_VAULT_REAUTH=1, and only safe when the AppRole has a reusable secret_id (secret_id_num_uses=0) — re-logging in with a single-use secret_id would burn the only credential. When unset, re-auth is a no-op and the failure surfaces through the layers below.
• Out-of-band alert — on each healthy⇄degraded transition scoped-mcp posts a Vault-independent alert to Matrix, configured from plain env (SCOPED_MCP_ALERT_MATRIX_HOMESERVER, SCOPED_MCP_ALERT_MATRIX_TOKEN, SCOPED_MCP_ALERT_MATRIX_ROOM) so it still fires when Vault is the broken dependency. A burst of /mcp 401s (a misconfigured client bearer) also fires one rate-limited alert — the one signal a session-start scoped_mcp_status check can't catch, because a 401'd client never reaches any tool. If no alert channel is configured, a warning is logged once at startup.
• /health endpoint — under --transport http, an unauthenticated GET /health on the existing port returns 200 when healthy and 503 when degraded (booleans/counts only, never token or lease values), so a dumb prober or load balancer can act on the status code alone.
• OTel metrics — when OTEL_EXPORTER_OTLP_ENDPOINT is set (and the [otel] extra is installed), two observable gauges (scoped_mcp.credentials.healthy, scoped_mcp.vault.consecutive_renewal_failures) export to your collector for a durable, queryable alert rule. No-op if the endpoint or extra is absent.

Manifest Staleness — under --transport http, scoped_mcp_status also reports manifest_path and manifest_loaded_at (when this process loaded its manifest). If the manifest file's mtime has moved since then, the response adds manifest_stale: true and a manifest_stale_hint string telling you to run pm2 restart scoped-mcp-<agent>. This is diagnostic only — it never fails the status call, even if the manifest file has since been deleted or become unreadable. See Transports → HTTP transport constraints for why this class of drift is possible under the long-lived process model. (SMCP-24)

Graceful Shutdown — scoped-mcp installs a SIGTERM handler that calls sys.exit(0), routing cleanup through FastMCP's lifespan finally block and every module's shutdown() hook. This ensures open sockets, Vault token-renewal tasks, and mcp_proxy subprocess handles are released cleanly when Claude Desktop or Claude Code ends a session. Without this, a SIGTERM kill mid-flight could bypass shutdown hooks and leave orphaned processes. (v1.3.4)

Manifest Format

# manifests/research-agent.yml
agent_type: research
description: "Read-only research agent"

modules:
  filesystem:
    mode: read                # read-only: read_file + list_dir only
    config:
      base_path: /data/agents # PrefixScope adds /{agent_id}/ automatically

  sqlite:
    mode: read
    config:
      db_dir: /data/sqlite     # each agent gets /data/sqlite/agent_{agent_id}.db

  ntfy:                       # write-only — no mode field needed
    config:
      topic: "research-{agent_id}"
      max_priority: high

credentials:
  source: env                 # or "file" with path: /run/secrets/agent.yml
  # or: source: vault — see Vault Credentials section

# Optional: pluggable state backend (required for rate limiting and HITL)
state_backend:
  type: in_process            # default — no external deps
  # type: dragonfly
  # url: redis://127.0.0.1:6379/0

# Optional: sliding-window rate limits
rate_limits:
  global: 60/minute           # all tools combined
  per_tool:
    filesystem_write_file: 10/minute
    "mcp_proxy.*": 30/minute  # glob — all matched tools share one counter

# Optional: argument-value filtering
argument_filters:
  - name: no-credentials
    pattern: '(?i)(password|secret|token)\s*[:=]\s*\S+'
    fields: [path, query, body]
    action: block             # or: warn
    decode: [base64, urlsafe_base64, url]

# Optional: human-in-the-loop approval (requires state_backend.type: dragonfly)
hitl:
  approval_required: ["filesystem_delete_*", "sqlite_execute"]
  shadow: ["mcp_proxy.*"]    # log-only, return synthetic empty success
  timeout_seconds: 300
  notify:
    type: ntfy               # or: log (default), webhook, matrix
    topic: homelab-hitl

Environment Variable Substitution

Manifest fields support ${VAR_NAME} placeholders, expanded from the process environment before YAML parsing:

state_backend:
  type: dragonfly
  url: "redis://:${REDIS_PASSWORD}@host:6379/0"  # always quote substitution sites

credentials:
  source: file
  path: "${SECRETS_FILE}"

Rules:

• Only the braced form is expanded (${VAR}, not $VAR) to prevent accidental substitution.
• Undefined variables at startup are a hard error — the agent will not start with incomplete config.
• Expanded values are never written to audit or ops logs.
• Always YAML-quote fields receiving substitution — a secret value containing :, {, or } can corrupt the YAML structure if the field is unquoted.

Top-Level Fields and Strict Validation

The top-level manifest model rejects unknown fields (extra="forbid"). A misspelled
or stale key fails the manifest at load time rather than being silently ignored — a
deliberate guard against shadowing attacks, where an unrecognized field could mask a
real setting. Every field an agent platform attaches to its manifests must therefore
be modeled explicitly.

Alongside the operational fields (modules, credentials, state_backend,
rate_limits, argument_filters, response_filters, hitl, audit), the model
accepts three platform-metadata fields. scoped-mcp validates and stores them but
does not act on them — they are consumed by the task dispatcher, agent bus, and other
agents on the platform:

Each workspace_access entry (added v1.3.3):

workspace_access:
  - path: /srv/agents/research-01
    access: readwrite
    git_backed: true
    branch_required: true
  - path: /srv/shared/reference
    access: readonly

workspace_access was previously tolerated only because the model briefly loosened to
extra="ignore"; modeling it as a typed field lets the top-level model keep
extra="forbid" while still validating the block present in every agent manifest.

Manifest-to-Tools Mapping

flowchart LR
    subgraph manifest_r["research-agent.yml"]
        MR1["filesystem: read"]
        MR2["sqlite: read"]
        MR3["ntfy: write-only"]
    end

    subgraph tools_r["Registered Tools (4)"]
        TR1["filesystem_read_file"]
        TR2["filesystem_list_dir"]
        TR3["sqlite_query"]
        TR4["ntfy_send"]
    end

    MR1 --> TR1 & TR2
    MR2 --> TR3
    MR3 --> TR4

    subgraph manifest_b["build-agent.yml"]
        MB1["filesystem: write"]
        MB2["sqlite: write"]
        MB3["ntfy: write-only"]
        MB4["slack_webhook: write-only"]
    end

    subgraph tools_b["Registered Tools (8)"]
        TB1["filesystem_read_file"]
        TB2["filesystem_list_dir"]
        TB3["filesystem_write_file"]
        TB4["filesystem_delete_file"]
        TB5["sqlite_query"]
        TB6["sqlite_execute"]
        TB7["ntfy_send"]
        TB8["slack_send"]
    end

    MB1 --> TB1 & TB2 & TB3 & TB4
    MB2 --> TB5 & TB6
    MB3 --> TB7
    MB4 --> TB8

Built-in Modules

Storage

Notifications

Notification modules are write-only by design — every agent needs to send alerts, but no agent should see webhook URLs, SMTP passwords, or API tokens.

Proxy

mcp_proxy connects to upstream MCP servers and re-exposes their tools through scoped-mcp.
Tools are prefixed with the module name (e.g. memsearch-mcp_search_memory). Use tool_denylist
to hide specific upstream tools from the agent.

Header injection — pass custom HTTP headers to upstream streamable-http servers:

modules:
  memsearch-mcp:
    type: mcp_proxy
    config:
      url: http://localhost:8493/mcp
      headers:
        Authorization: "Bearer ${MEMSEARCH_API_TOKEN}"

Header values support ${VAR} substitution (same rules as all manifest fields).
Headers are only applied to HTTP transports — configuring headers on a stdio
transport logs a warning and ignores them. Authorization header values are
automatically redacted from structured logs.

Self-healing stdio upstreams (v1.6.0) — a persistent stdio upstream call that fails
with a dead-transport error (broken/closed pipe, subprocess exit) transparently
reconnects once and retries, logging mcp_proxy_reconnect. This matters under the
long-lived HTTP transport, where a dead pipe would otherwise persist until restart. The
reconnect is serialized with a lock so concurrent callers do not race to replace the
client; normal tool errors still propagate untouched so real outages are not masked.

Infrastructure

Credentials

Every module declares its required and optional environment variables. scoped-mcp
fails at startup with a clear error listing any missing required keys — it will not
start partially configured.

Credentials are passed in settings.json under env (for Claude Code) or exported
in the shell before running scoped-mcp. They are loaded once at startup, injected
into module contexts, and never returned in tool responses or logged.

For HashiCorp Vault — set credentials.source: vault in the manifest with an
approle block; credentials are fetched once at startup and the client token is
renewed in the background. Requires pip install scoped-mcp[vault]. See
examples/vault/ for a working manifest, AppRole setup script, and Vault policy.

For integration with a secrets manager such as Vaultwarden, see
examples/vaultwarden/.

Three-Module Workflow

┌─ ops-agent (AGENT_ID=ops-01) ────────────────────────────────────┐
│                                                                   │
│  1. influxdb_query(bucket="metrics",                             │
│       filters=[{"field": "_measurement",                         │
│                 "op": "==", "value": "docker_cpu"}])             │
│     → discovers container X averaging 94% CPU                    │
│                                                                   │
│  2. grafana_create_dashboard(                                     │
│       title="Container Health",                                  │
│       panels=[{"title": "CPU by Container", ...}])               │
│     → dashboard created in folder agent-ops-01/                  │
│                                                                   │
│  3. ntfy_send(title="High CPU: container X",                     │
│       message="Averaging 94% over last hour.")                   │
│     → operator gets push notification                            │
│                                                                   │
└───────────────────────────────────────────────────────────────────┘

The agent queried metrics it can see, built a dashboard it owns, and alerted through a channel it's allowed to use. At no point did it see API tokens, access another agent's data, or modify operator dashboards.

Write Your Own Module

# src/scoped_mcp/modules/redis.py
from scoped_mcp.modules._base import ToolModule, tool
from scoped_mcp.scoping import NamespaceScope

class RedisModule(ToolModule):
    name = "redis"
    scoping = NamespaceScope()
    required_credentials = ["REDIS_URL"]

    def __init__(self, agent_ctx, credentials, config):
        super().__init__(agent_ctx, credentials, config)
        import redis.asyncio as aioredis
        self._redis = aioredis.from_url(credentials["REDIS_URL"])

    @tool(mode="read")
    async def get_key(self, key: str) -> str | None:
        """Get a value (scoped to agent namespace)."""
        scoped_key = self.scoping.apply(key, self.agent_ctx)
        return await self._redis.get(scoped_key)

    @tool(mode="write")
    async def set_key(self, key: str, value: str, ttl: int = 0) -> bool:
        """Set a key-value pair (scoped to agent namespace)."""
        scoped_key = self.scoping.apply(key, self.agent_ctx)
        return await self._redis.set(scoped_key, value, ex=ttl or None)

Add it to your manifest:

modules:
  redis:
    mode: read     # only get_key registered
    config: {}

See examples/custom-module/ for a full walkthrough and docs/module-authoring.md for the complete contract.

Comparison to Existing Tools

The projects below are the closest real comparators in the 2026 MCP-gateway
landscape. All are capable tools — but each targets server-level federation,
container isolation, or team/enterprise RBAC. None isolates resources at the
per-agent-instance boundary (Agent A cannot read Agent B's files, rows, or
buckets even with identical tools), which is scoped-mcp's core design point.

scoped-mcp does not compete with these on OAuth/OIDC, multi-tenant SaaS, or
Kubernetes orchestration — see Non-Goals. It occupies the gap they
leave: per-agent resource isolation in a single self-hosted process.

Security

scoped-mcp's core value is security — tool scoping, credential isolation, and
audit logging. To back that up:

• Threat model: docs/threat-model.md documents the attack surface,
  trust boundaries, and what scoped-mcp does and does not protect against.
• Audit history: docs/security-audit.md tracks formal internal audits:
  v0.1.0 found 18 findings (1 critical, 3 high, 8 medium, 6 low), remediated
  in v0.2.0; the v0.2.1 follow-up audit returned clean. Post-v1.0 security
  fixes (OTel exception redaction, audit log stdio isolation, ManifestError
  secret suppression) are documented in CHANGELOG.md.
• Verifiable isolation: the examples/claude-code/multi-agent-setup.md
  includes a step-by-step verification walkthrough — you can confirm filesystem
  isolation and credential non-exposure yourself in under five minutes.

Optional guardrails

Six opt-in middleware layers sit on top of the core tool/scope/credential/audit
guarantees. All are off by default; enable per-agent in the manifest:

• OpenTelemetry tracing (OTEL_EXPORTER_OTLP_ENDPOINT, v0.6) — one span per
  tool call with scoped_mcp.* attributes (agent.id, agent.type, tool.name,
  call.status). Auto-enabled when OTEL_EXPORTER_OTLP_ENDPOINT is set in the
  environment. Tool arguments are excluded from spans to prevent credential leakage.
  Works with SigNoz, Grafana Tempo, Jaeger, and Langfuse OTLP ingest. Requires
  pip install scoped-mcp[otel].

• Rate limiting (rate_limits:, v0.7) — sliding-window per-agent and
  per-tool limits with glob patterns. Backed by InProcessBackend (default)
  or DragonflyBackend ([dragonfly] extra) for cross-process state.

• Vault-backed credentials (credentials.source: vault, v0.8) — fetch
  credentials from HashiCorp Vault via AppRole; client token auto-renewed in
  the background, with opt-in self-heal re-auth, credential-health surfacing,
  an unauthenticated /health probe, and out-of-band degradation alerts
  (SMCP-26 — see Credential Health, Self-Heal & Alerting above).
  See examples/vault/.

• mcp_proxy schema validation + argument filtering (argument_filters:,
  v0.9) — proxied calls are validated against the upstream tool's
  inputSchema before forwarding; pattern-based argument filters can block
  or alert on values, with optional base64/url decoding. See
  docs/threat-model.md for the documented limits.

• Human-in-the-loop approval (hitl:, v1.1) — operator-gated tool
  calls using a reject-then-wait design. When an agent calls an
  approval_required tool, the middleware rejects immediately with a
  HitlRejectedError containing an approval ID and retry instructions —
  the MCP connection stays open. The operator runs
  scoped-mcp hitl approve <id>, which writes a one-time pre-approval
  token to Dragonfly (60 s TTL). The agent retries the tool call; the
  middleware finds and consumes the token and forwards the call upstream.
  Shadow-mode tools log a sanitised argument summary and return a
  synthetic empty-success without forwarding upstream — useful for
  observing agent behaviour before enabling a tool.

  CLI subcommands:

  scoped-mcp hitl list                      # pending approvals
  scoped-mcp hitl approve <approval_id>     # write pre-approval token
  scoped-mcp hitl reject  <approval_id>     # delete pending key
  

  Requires state_backend.type: dragonfly. Install with
  pip install scoped-mcp[dragonfly].

• Response filtering (v1.0.2) — opt-in post-execution content scanning.
  block, warn, or redact modes applied per-field via ResponseFilterRule
  entries in the manifest's audit: section. Redaction applies to string leaves
  in structured responses only — never to serialized dict/list blobs. See
  contrib/response_filter.py.

Non-Goals

• Not an enterprise gateway — no OAuth, no multi-tenant SaaS, no Kubernetes. For self-hosters running multi-agent setups.
• Not a policy engine — no prompt injection detection, no tool call classification.
• Not a process manager — one MCP server that an agent connects to. Spawning agents is your orchestrator's job.
• Not E2EE — the Matrix module supports unencrypted rooms only (no libolm dependency).

Installation

# Core only (filesystem + sqlite + notifications require no extras)
pip install scoped-mcp

# With HTTP client modules (http_proxy, grafana, influxdb, ntfy, matrix, slack, discord)
pip install "scoped-mcp[http]"

# With SMTP support
pip install "scoped-mcp[smtp]"

# With SQLite async support
pip install "scoped-mcp[sqlite]"

# With OpenTelemetry tracing (auto-enabled when OTEL_EXPORTER_OTLP_ENDPOINT is set)
pip install "scoped-mcp[otel]"

# With shared state backend for rate limiting and HITL across processes
pip install "scoped-mcp[dragonfly]"

# With HashiCorp Vault credential source
pip install "scoped-mcp[vault]"

# HTTP + SMTP + SQLite bundle (does not include otel, dragonfly, or vault)
pip install "scoped-mcp[all]"

If something isn't working, see Troubleshooting.

License

MIT