mcp-sentinel

A sentinel between an AI agent and MCP servers — polling long-running tasks on the agent's behalf so that token-costly status loops never enter the LLM inference path.

This is a monorepo: a harness-agnostic core (@gcszhn/mcp-sentinel-core) plus one thin plugin package per agent host.

Design principle

Zero MCP re-configuration. The sentinel never asks the user to configure MCP servers of its own. Installing the plugin is the whole setup — it discovers and reuses the MCP servers the harness already has, in whichever way that harness exposes them:

• From the host's MCP config — OpenCode. The plugin reads client.config.get().mcp and hands the resolved servers to the core, which owns the connection lifecycle. No extra MCP setup.
• Through the harness SDK — DeepSeek Harness. The plugin calls the mcp__<server>__<tool> tools already registered by @deepseek-ai/dsh-mcp-client via ctx.tools.execute. No extra MCP setup.
• As a harness-agnostic MCP CLI — any harness. `mcp-sentinel mcp --harness

<codex|opencode|custom> is a plain stdio MCP server that discovers the MCP servers the harness already exposes (codex mcp list --json, opencode debug config, or a --mcp-config` file) and skips its own entry. No message notification channel — agents collect results with attach/status/read.

The agent immediately sees the MCP servers it already configured for that harness; there is no sentinel-specific MCP config, mock server, or demo wiring to maintain.

Supported harnesses

Install instructions and per-harness details live in each plugin's own README.

Harness	Plugin package	Docs
OpenCode	@gcszhn/mcp-sentinel-opencode-plugin	README
DeepSeek Harness	@gcszhn/mcp-sentinel-deepseek-harness-plugin	README
Any harness (CLI)	@gcszhn/mcp-sentinel-cli	README

The shared core ships separately as @gcszhn/mcp-sentinel-core — see its README.

Motivation

When an agent submits a long-running job through an MCP tool, it must repeatedly call the server to check progress — each round-trip burns context window tokens.

sequenceDiagram
    participant A as Agent (LLM)
    participant M as MCP Server

    Note over A: Without sentinel
    A->>M: check status
    M-->>A: running...
    Note over A: token cost 💸
    A->>M: check status
    M-->>A: running...
    Note over A: token cost 💸
    A->>M: check status
    M-->>A: completed ✓
    Note over A: token cost 💸

mcp-sentinel moves the polling loop out of the agent and into the plugin runtime — 2 inference calls regardless of task duration.

sequenceDiagram
    participant A as Agent (LLM)
    participant S as Sentinel Plugin
    participant M as MCP Server

    A->>S: poll_mcp(server, tool, until)
    Note over A: token cost 💸 (once)

    loop silent polling (zero tokens)
        S->>M: call tool
        M-->>S: running...
        S->>S: evaluate condition
    end

    S->>M: call tool
    M-->>S: completed ✓
    S->>A: promptAsync(result)
    Note over A: token cost 💸 (once)

Configuration

Environment variables for controlling memory usage:

Variable	Default	Description
SENTINEL_MAX_POLL_LOG	unlimited	Max poll log entries per task (FIFO trim)
SENTINEL_TASK_TTL_MS	unlimited	Auto-cleanup completed tasks after N milliseconds

Both accept positive integers only. Zero, negative, or non-numeric values are treated as unlimited/disabled.

Tools

mcp_sentinel_poll

Submit a long-running MCP tool call and poll it at regular intervals until a condition is met. The sentinel polls silently (zero token cost) and notifies you when done.

Parameter	Type	Default	Description
server	string	required	MCP server name (resolved from the host's MCP config)
tool	string	required	Tool name to call on the server
args	object	{}	JSON object of arguments for the tool
interval	number	5000	Poll interval in milliseconds
timeout	number	optional	Max poll duration in ms (unset = no limit)
until	object	required	JSON condition object

Returns a sentinel ID immediately. The agent is notified when done (the delivery mechanism is host-specific).

args and until are native JSON values in the tool arguments — not JSON strings. interval is clamped to a minimum of 1000 ms; a positive timeout is clamped to a minimum of 5000 ms (values below the floor are raised).

mcp_sentinel_status

Check the status of sentinel tasks, list active tasks, or cancel a running task.

Parameter	Type	Description
action	"status" | "list" | "cancel"	Action to perform
id	string	Sentinel ID (required for status and cancel)

mcp_sentinel_attach

Block the agent, waiting for a sentinel task to complete. Sleeps and checks status internally with zero token cost. If interrupted by harness, the background async notification still fires normally.

Parameter	Type	Default	Description
id	string	required	Sentinel ID to wait for
timeout	number	optional	Max wait time in ms (unset = wait indefinitely)

mcp_sentinel_read

Read raw poll outputs from a sentinel task. Useful for debugging when a condition isn't matching — inspect actual MCP responses. Supports range-based pagination via offset.

Parameter	Type	Default	Description
id	string	required	Sentinel ID to read outputs from
offset	number	end-N	0-based start index (default: from end)
limit	number	5	Max number of outputs to return

Condition Model

Conditions are pure declarative data — no executable code, no injection surface.

// Simple comparison
{ "path": "status", "is": "eq", "value": "completed" }

// Array index access
{ "path": "[0].data.path", "is": "eq", "value": "found" }

// Regex match
{ "path": "log", "is": "match", "value": "^error" }

// Logical composition
{
  "and": [
    { "path": "status", "is": "eq", "value": "completed" },
    { "path": "tasks[0].exit_code", "is": "eq", "value": 0 }
  ]
}

Operators

Operator	Description
eq	Strict equality
ne	Not equal
gt	Greater than (numeric)
gte	Greater than or equal
lt	Less than
lte	Less than or equal
contains	String contains
match	Regex match (new RegExp(value).test(data))

Logical combinators

Combinator	Description
{ "not": <condition> }	Negation
{ "and": [...] }	All must match
{ "or": [...] }	Any must match

Path syntax

Uses property-access notation with array index support:

status               → obj.status
tasks[0].exit_code   → obj.tasks[0].exit_code
[0].data.path        → obj[0].data.path
items[2].name        → obj.items[2].name

Architecture

The project is a monorepo where each layer ships as its own npm package. The core knows nothing about any host; every harness is a thin, self-contained package layered on top of it.

Layers

Package	Purpose	Published as
packages/core	sentinel engine, tool handlers, condition evaluator, connection pool, env, logger, types	@gcszhn/mcp-sentinel-core
packages/opencode	OpenCode adapter: tool() definitions + client.config.get() + session.promptAsync	@gcszhn/mcp-sentinel-opencode-plugin
packages/deepseek-harness	DeepSeek Harness adapter: external-invoker mode via ctx.tools.execute + Agent.followup	@gcszhn/mcp-sentinel-deepseek-harness-plugin
packages/cli	harness-agnostic MCP stdio CLI (mcp-sentinel mcp --harness …)	@gcszhn/mcp-sentinel-cli
packages/<harness> (future)	one entry per host, e.g. claude-code	@gcszhn/mcp-sentinel-<harness>-plugin

Core / harness contract

The core exposes one uniform seam — ToolInvoker, a (server, tool, args) => Promise<unknown> function the engine calls once per poll — so each harness can plug in its own MCP access strategy without the core knowing which host it is running under.

// core — the uniform interface (harness-agnostic)
type ToolInvoker = (server: string, tool: string, args: Record<string, unknown>) => Promise<unknown>;

// the core engine accepts an invoker instead of reading host config itself
startSentinel(request, invoke: ToolInvoker): Promise<string>;

There are two ways to build the invoker:

1. Connection-pool mode — the harness parses the host's MCP config into a core McpConfig, builds a ServerResolver with makeServerResolver, and wraps it in makeConnectionInvoker, letting the core own the connection lifecycle.
2. External-invoker mode — the host already owns MCP (e.g. its own bridge registered tools on a tool registry); the harness passes its own (server, tool, args) => result function and the core never opens a connection.

MCP config discovery is the harness's job — different hosts fetch it differently (OpenCode via client.config.get().data mcp.* flat keys, Codex via codex mcp list --json, a --mcp-config file, …), and external-invoker hosts skip config discovery entirely.

The core's second seam is the notifier: a harness installs a completion callback with setNotifier(task, event), delivered through the host's message channel (OpenCode promptAsync, DeepSeek Harness Agent.followup). The core has no opinion on how a notification is rendered or pushed.

Adding a new harness

1. Develop it in its own git worktree — a new harness plugin is isolated from the core and from other harnesses; see AGENTS.md.
2. Create packages/<harness>/package.json named @gcszhn/mcp-sentinel-<harness>-plugin with a dependency on @gcszhn/mcp-sentinel-core.
3. Build a ToolInvoker: either parse the host's MCP config into a McpConfig and wrap it with makeConnectionInvoker(makeServerResolver(...)) (connection-pool mode), or pass a host-owned (server, tool, args) => result function (external-invoker mode).
4. Register the four tools, delegating to the core's handlePoll / handleStatus / handleAttach / handleRead handlers.
5. Install the notifier with setNotifier, pushing completions through the host's message channel (e.g. OpenCode promptAsync, DeepSeek Harness Agent.followup).

Data flow (core)

sequenceDiagram
    participant A as Agent (any host)
    participant H as Harness adapter
    participant C as Core engine
    participant M as MCP Server

    A->>H: poll(server, tool, until)
    H->>H: resolveServer()
    H->>C: startSentinel(...)
    C-->>H: sentinel ID
    H-->>A: acknowledgment

    loop every interval ms (zero tokens)
        C->>M: call tool(args)
        M-->>C: response
        C->>C: evaluateCondition(until, response)
    end

    C->>H: notify(completed)
    H->>A: host-specific completion push

Layout

packages/
  core/                         # @gcszhn/mcp-sentinel-core (zero host deps)
    src/
      engine.ts                 # startSentinel / cancel / getTask / getActive / cleanup
      tools.ts                  # handlePoll / handleStatus / handleAttach / handleRead
      condition.ts              # condition evaluator
      connection-pool.ts        # MCP client pool (@modelcontextprotocol/sdk)
      env.ts                    # SENTINEL_* env
      logger.ts                 # pluggable sink
      resolver.ts               # makeServerResolver (McpConfig → ServerResolver)
      types.ts                  # McpServerConfig / ServerResolver / Sentinel*
      index.ts                  # public barrel
    tests/
  opencode/                     # @gcszhn/mcp-sentinel-opencode-plugin
    src/
      plugin.ts                 # PluginModule entry
      index.ts                  # tool() definitions + promptAsync notifier
      config.ts                 # parseOpencodeMcpConfig (opencode `mcp` block) → McpConfig
    tests/
  deepseek-harness/             # @gcszhn/mcp-sentinel-deepseek-harness-plugin
    src/
      index.ts                  # external-invoker mode: ctx.tools.execute + Agent.followup
    tests/
  cli/                          # @gcszhn/mcp-sentinel-cli (harness-agnostic stdio MCP server)
    src/
      cli.ts                    # CLI entry: mcp-sentinel mcp --harness <codex|opencode|custom|none>
      mcp-server.ts             # registers the 4 tools; connection-pool mode; no notifier
      config.ts                 # codex mcp list / opencode debug config / --mcp-config discovery
    schema/                     # mcp-config.schema.json (ships in the npm tarball)
    tests/
  # future harnesses, one concrete package each:
  #   claude-code/   ...

Build order: each package builds independently, but the adapters type-check and run against @gcszhn/mcp-sentinel-core's published dist/. Run bun run build (core first, then opencode, deepseek-harness, cli) before bun test.

License

MIT