scoped-mcp 0.3.0

Per-agent scoped MCP tool proxy with credential isolation and audit logging

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.

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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"]
        AU["Audit Logger"]

        M --> R
        R --> C
        C --> AU
    end

    subgraph backends["Backends (scoped)"]
        FS["Filesystem<br/><code>agents/research-01/</code>"]
        DB["SQLite<br/><code>schema: research_01</code>"]
        NT["ntfy<br/><code>topic: research-research-01</code>"]
    end

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

---

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.

---

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.
2. Operational log — what the server did. Startup, shutdown, config errors.

---

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

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

Module	Scope	Read tools	Write tools
filesystem	PrefixScope — agents/{agent_id}/	read_file, list_dir	write_file, delete_file
sqlite	Per-agent DB file — {db_dir}/agent_{agent_id}.db	query, list_tables	execute, create_table

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.

Module	Backend	Credential	Scope
ntfy	ntfy.sh (self-hosted or cloud)	Server URL + optional token	Topic per agent ({agent_id} template)
smtp	Any SMTP server	Host, port, user, password	Configured sender + allowed recipients
matrix	Matrix homeserver	Access token	Room allowlist
slack_webhook	Slack incoming webhook	Webhook URL	One webhook = one channel
discord_webhook	Discord webhook	Webhook URL	One webhook = one channel

Infrastructure

Module	Scope	Read tools	Write tools
http_proxy	Service allowlist + SSRF prevention	get	post, put, delete
grafana	Folder-based (agent-{agent_id}/)	list_dashboards, get_dashboard, query_datasource, list_datasources	create_dashboard, update_dashboard, create_alert_rule, delete_dashboard
influxdb	Bucket allowlist + NamespaceScope	query, list_measurements, get_schema	write_points, create_bucket, delete_points

---

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.

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Comparison to Existing Tools

Capability	scoped-mcp	agent-mcp-gateway	local-mcp-gateway	Kong MCP
Tool aggregation	yes	yes	yes	yes
Per-agent tool filtering	manifest	rules file	profiles	RBAC
Resource scoping	yes	no	no	no
Credential isolation	yes	no	no	partial
Unified audit log	yes	no	no	yes
Read/write modes	yes	per-tool	per-profile	per-role
Self-hosted, single process	yes	yes	yes	no
Built-in modules	10	0	0	0

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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 in v0.1 (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]"

# Everything
pip install "scoped-mcp[all]"

License

MIT