Remote SSH MCP
The Remote SSH MCP server provides persistent, stateful SSH sessions for AI agents, enabling long-lived remote shell operations with easy session management.
Key capabilities:
List allowed hosts (
ssh_hosts) – shows safe metadata for permitted Host aliases from SSH config.Open session (
ssh_open) – starts a persistent remote Bash shell for an allowed host, returning a session ID.Run commands (
ssh_run) – executes non-interactive commands in a session, preserving working directory and environment across calls; supports optional wait/timeout and is designed for long-running tasks (returns early withrunningstatus).Peek at output (
ssh_peek) – retrieves recent stdout/stderr and command status; long-polling waits for completion.Interrupt command (
ssh_interrupt) – sends Ctrl‑C to the foreground process, with recovery confirmation; session closed on failure.List sessions (
ssh_list) – shows active sessions with host, cwd, state, exit code, idle time, and capacity.Close session (
ssh_close) – terminates remote shell and SSH connection, cleans up temporary files.
Security & integration:
Enforces host allowlist and destructive-command denylist; idle reaping, output truncation, and audit logging.
Uses the system OpenSSH client, honoring
~/.ssh/config, agent forwarding, ProxyJump; never accepts passwords or keys from tools – credentials remain local.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Remote SSH MCPOpen a session to prod and run 'df -h'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Why Remote SSH MCP?
Most agents reach remote machines like this:
bash → ssh host "cmd" → disconnect → repeatEvery call pays the same tax:
Pain | What happens |
🔁 Token waste | Banners, MOTD, login noise, and |
🧊 Lost state |
|
🔌 Unstable | Fresh connects hit timeouts, host-key prompts, ProxyJump, and auth jitter |
🌀 Error spiral | The model compensates with longer probe commands → more tokens |
Remote SSH MCP turns a long-lived remote Bash into first-class MCP tools. One session ID keeps working directory, environment variables, and shell side effects. Open a new session when you need a clean environment.
Why pick this over one-shot ssh in bash?
Concrete gains for agent workflows (multi-step remote work: deploy, debug, build, inspect logs):
Dimension | One-shot | Remote SSH MCP |
💰 Tokens | Each step re-pays connect noise + state probes; models often re- | Pay once on |
✅ Success rate | N steps ≈ N handshakes → N chances to fail (timeout, jump, agent, host key) | One handshake per session; subsequent commands ride a live shell. Long jobs use |
🧳 Portability | Remote needs nothing extra — but every agent machine reimplements the same brittle | Install once on the machine that runs Claude / Cursor / Grok / etc. Remote hosts install nothing (no Node, no MCP daemon, no agent). Only a normal shell account + tools already required for SSH ( |
🧠 Model ergonomics | Model invents | Stable tools: |
🔐 Trust boundary | Easy to over-expose keys or prompt for passwords in-band | OpenSSH client only; tools never accept passwords or private-key material |
Portability in one line: put the MCP on your dev box / AI host; every server already in your SSH config is reachable — zero package install on the remote fleet.
┌─────────────────────────┐ SSH (OpenSSH) ┌──────────────────┐
│ Your laptop / CI agent │ ───────────────────────────► │ prod / staging │
│ Claude · Cursor · Grok │ ~/.ssh/config · agent │ no MCP install │
│ + remote-ssh-mcp │ │ plain Bash OK │
└─────────────────────────┘ └──────────────────┘Token sketch (illustrative multi-step remote debug):
One-shot path (per step × 8):
ssh wrapper + banner/MOTD + pwd/whoami + re-cd + command output
→ noise dominates; context fills with reconnect junk
Session path:
ssh_open → once (handshake + READY)
ssh_run × 8 → mostly the real stdout/stderr (truncated head+tail)
→ context stays on the work product, not the transportIt does not reimplement SSH. Your system OpenSSH client stays in charge — so ~/.ssh/config, known hosts, the SSH agent, ProxyJump routes, and hardware keys keep working exactly as they already do.
ssh_hosts() → discover allowed Host aliases
ssh_open(host) → session id
ssh_run(id, command) → same cwd + env as last time
ssh_peek / ssh_interrupt → observe or recover long / stuck work
ssh_close(id) → release the shell and connectionRelated MCP server: TerminusAI
Features
🧠 Persistent remote sessions
One stable session ID maps to one long-lived remote Bash
cwdand environment survive acrossssh_runcallsOpen a fresh session whenever you need a clean slate
Multiple sessions can target the same or different hosts (up to
maxSessions)
🔧 Native OpenSSH integration
Spawns the real
sshbinary — no custom crypto stackHonors
~/.ssh/config,Include, agent sockets, and ProxyJumpForces
BatchMode=yesandStrictHostKeyChecking=yesNever accepts passwords, private-key text, or arbitrary SSH option args from the model
📡 Long-running command friendly
ssh_runwaits up towait_sec(default 10s), then returnsstatus: "running"while the remote command continuesPoll with
ssh_peek(wait_sec=...)long-poll instead of busy-loopingOptional hard
timeout_secsends Ctrl-C; no automatic kill by defaultIdeal for
docker pull, builds, downloads, and deploys that must not block the tool call forever
🛡️ Safety & control plane
Exact Host-alias allowlist from
ssh_config+ optional config / env overridesPatterns with
*,?, or!are ignoredFail-closed interrupt: if shell recovery cannot be confirmed after Ctrl-C, the session is closed
Built-in denylist for a few obviously destructive patterns (not a full policy engine)
Idle reaping, session caps, and a JSONL audit log (
0600) with hashed commands
📦 Clean tool results for models
Separate
stdout/stderrstreamsHead-and-tail byte truncation with valid UTF-8 boundaries
ANSI / PTY noise stripped before the model sees output (colors, CSI, bracketed-paste markers, control-only blank lines)
Quiet open-frame:
TERM=dumb,NO_COLOR, bracketed-paste off — less junk at the sourceSlim JSON payloads: omit empty
stderr,falsetruncation flags, and request-echo fields so dualcontent+structuredContentstays cheapssh_hostsreturns only safe metadata:alias,hostname,user,port,proxy_jumpNever leaks
IdentityFile, certificates, agent sockets, orProxyCommand
🔌 MCP-native
stdio transport for Claude Desktop, Cursor, and other MCP hosts
Compatible with both legacy and current MCP handshakes
Parent / stdio exit closes every tracked SSH connection
How it works
flowchart LR
A[AI Agent] -->|MCP tools| B[Remote SSH MCP]
B -->|spawn| C[OpenSSH client]
C -->|SSH + PTY| D[Remote Bash]
D --> E[(cwd / env / side effects)]
subgraph Local machine
B
C
F[~/.ssh/config<br/>agent / keys]
C -.-> F
end
subgraph Remote host
D
E
endTypical agent flow
1. ssh_hosts() # pick an alias from the allowlist
2. ssh_open(host="prod") # get session id "s_…"
3. ssh_run(id, "cd app && …") # state sticks to this id
4. ssh_run(id, "npm test") # still in app/, env preserved
5. ssh_peek(id, wait_sec=20) # long-poll a slow job
6. ssh_close(id) # clean up when doneMCP tools
Tool | What it does |
🗂️ | List allowed Host aliases (safe metadata only). Pass |
🔓 | Open a clean persistent shell for an allowed Host alias → returns session |
▶️ | Run a non-interactive command in an existing session |
👀 | Latest N lines of output + status; optional |
⛔ | Send Ctrl-C and wait for confirmed shell recovery |
📋 | List sessions, cwd, state, idle countdown, and capacity |
🔒 | Tear down remote temp state and close the connection |
Tool parameters (essentials)
Tool | Key params |
|
|
|
|
|
|
|
|
| optional |
Quick start
Requirements
Requirement | Notes |
Node.js | 20 or newer |
OpenSSH client | System |
Remote host | Bash + |
SSH setup | Host alias in |
⚠️ First-time host-key confirmation and authentication must be completed in a normal terminal. The MCP server never shows password or trust prompts.
Install
git clone https://github.com/the-nine-nation/remote-ssh-mcp.git
cd remote-ssh-mcp
npm install
npm run build
npm testRun the server:
node /absolute/path/to/remote-ssh-mcp/dist/index.jsOr install from npm (once published):
npx @zyluo/remote-ssh-mcp
# or
npm install -g @zyluo/remote-ssh-mcp
remote-ssh-mcpOr, after a local package install from this repo, use the remote-ssh-mcp executable.
MCP host configuration
Most stdio hosts accept a shape like this (outer key may differ by product):
{
"mcpServers": {
"remote-ssh": {
"command": "node",
"args": [
"/absolute/path/to/remote-ssh-mcp/dist/index.js"
],
"env": {
"SSH_MCP_ALLOWED_HOSTS": "prod,staging"
}
}
}
}Cursor · Claude Desktop · Claude Code · other MCP-capable hosts: point command / args at the built dist/index.js and set SSH_MCP_ALLOWED_HOSTS (or rely on auto-discovery from ~/.ssh/config).
SSH_MCP_ALLOWED_HOSTS adds aliases to the allowlist. By default the server also discovers exact Host entries from ~/.ssh/config and its Include files. Tool inputs accept only safe aliases — not user@host, ports, or extra SSH options.
After editing ~/.ssh/config, call ssh_hosts(reload=true) instead of restarting the server.
Credential boundary
Authentication stays inside the local OpenSSH client:
Tools never accept passwords or private-key material
ssh_hostsnever returns key paths, certs, agent sockets, orProxyCommandAgents should call
ssh_openwith a Host alias and must not read~/.sshprivate keys from disk
Configuration
Optional config file (default path):
~/.config/remote-ssh-mcp/config.json{
"allowedHosts": ["prod", "staging"],
"sshConfigPath": "~/.ssh/config",
"sshPath": "ssh",
"maxTimeoutSec": 1800,
"defaultWaitSec": 10,
"maxWaitSec": 30,
"openTimeoutSec": 20,
"idleTimeoutSec": 1800,
"interruptGraceSec": 5,
"maxSessions": 8,
"outputMaxBytes": 32768,
"outputHeadBytes": 4096,
"auditLogPath": "~/.local/state/remote-ssh-mcp/audit.jsonl"
}Environment variables
Variable | Purpose |
| Configuration file path |
| Comma-separated additional Host aliases |
| SSH config path |
| OpenSSH executable |
| Max explicit command timeout |
| How long |
| Max |
| Connect / handshake timeout |
| Idle session lifetime |
| Marker recovery grace after Ctrl-C |
| Maximum live sessions |
| Per-stream retained output limit |
| Retained head bytes when truncating |
| JSONL audit-log path |
Environment variables override the file. The audit log is created with mode 0600 and records session, host, result, duration, command length, command name, and SHA-256 — not full argument strings (reduces secret leakage).
Execution semantics
Detailed rules the agent (and you) should know:
Topic | Behavior |
Concurrency | One session runs one foreground command at a time; extra |
| Limits only how long the MCP call waits. On expiry: |
Do not retry | Never re-issue the same long command after |
Hard timeout | Only an explicit |
| Default last 50 lines (max 1000); byte caps still apply; optional long-poll |
stdin | User commands get |
Interrupt recovery | Ctrl-C + grace period for protocol marker; if recovery fails → session closed (fail-closed) |
Output | stdout / stderr keep head + tail independently; always valid UTF-8 boundaries |
Denylist | Blocks a few high-risk patterns only — not a complete policy engine |
Trust model | Local trusted developer tool — not a multi-tenant remote execution service |
Host exit | MCP host / stdio death closes all SSH connections; |
Example: start docker pull with wait_sec: 10 and no timeout_sec. A running result means the original pull is still active — do not start another. Call ssh_peek with a positive wait_sec until idle, interrupt it, or open another session for parallel work.
Development
npm run typecheck
npm test
npm run build
npm audit --omit=devThe test suite covers MCP stdio discovery and calls, persistent cwd / environment state, stream separation, framing across arbitrary chunk boundaries, timeout fail-closed behavior, shell death, allowlist discovery, output truncation, and the safety denylist.
Design notes and wire protocol: 远程SSH-MCP设计.md.
Security
Please do not report security vulnerabilities through public GitHub issues. Until a private advisory workflow is configured, contact the maintainer via the email on their GitHub profile.
Remote commands can have irreversible side effects even when the MCP transport is healthy. Use least-privilege accounts, keep the allowlist narrow, and review host permissions carefully.
Project status
Item | Status |
Version | 0.2.2 |
License | |
Language | TypeScript (Node ≥ 20) |
Protocol | MCP over stdio |
Transport to host | System OpenSSH |
Changelog
0.2.2 — quieter remote output, fewer tokens
PTY-backed interactive bash often injects escape sequences that look like “binary” when JSON-escaped (\u001b[?2004h, color CSI, cursor codes). That noise burned context on every ssh_peek / ssh_run.
Change | What it does |
Present-time sanitize | Strip ANSI/OSC/CSI, honor CR overwrite (progress bars), drop control-only blank lines, then apply the |
Quiet session open | Export |
Slim tool payloads | Drop empty |
Tests | Coverage for sanitize, open-frame quieting, session present path, and slim JSON |
Upgrade: npm i -g @zyluo/remote-ssh-mcp@0.2.2 (or bump the package in your MCP config), then restart the MCP process so the new server binary is loaded.
0.2.1
Fix READY-marker parsing when the open frame is PTY-echoed
0.2.0
Initial public release on npm / GitHub
Star History
If this project saves you tokens and flaky reconnects, a ⭐ on GitHub helps others find it.
Available Tools
7 toolsssh_closeClose persistent SSH sessionADestructiveIdempotent
Close the remote shell and SSH connection, clean its private temporary directory, and invalidate the id. Close a dirty session and call ssh_open for a clean environment.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare destructiveHint=true and readOnlyHint=false, but the description adds valuable behavioral details: it cleans a private temporary directory and invalidates the id. This surpasses what annotations alone convey, while remaining consistent with them. There is no contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief, two sentences, with the primary action stated upfront. Every sentence adds value: the first defines the behavior, the second gives a practical use case. No filler or redundant content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter, no output schema) and the annotations covering safety profile, the description covers the essential aspects: what is closed, what is cleaned, and when to reopen. The sibling context is clear from the name itself. Nothing critical is missing for an agent to invoke it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one required parameter 'id' with a pattern, but no description. The description indirectly clarifies its meaning by stating it "invalidate[s] the id," confirming that id refers to the session identifier. While it could explicitly say 'the id returned by ssh_open', the context and pattern make the parameter's purpose clear enough.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's core function: "Close the remote shell and SSH connection." It also adds specific cleanup actions (clean private temporary directory, invalidate the id), which distinguishes it from the sibling tools like ssh_open and ssh_interrupt. The verb 'close' is specific and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides a usage pattern: "Close a dirty session and call ssh_open for a clean environment." This implies when the tool is appropriate (for dirty sessions) and suggests a follow-up action. However, it does not explicitly contrast with alternatives like ssh_interrupt or state when not to use it, missing the full 'when/when-not' guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ssh_hostsList allowed SSH Host aliasesARead-onlyIdempotent
List allowed OpenSSH Host aliases discovered from the local ssh_config (and explicit allowlist). Returns only safe connection metadata: alias, hostname, user, port, proxy_jump. Never returns private keys, IdentityFile paths, agent sockets, or ProxyCommand. Pass reload=true after editing ~/.ssh/config to re-parse without restarting the MCP server. Use an alias from this list with ssh_open.
| Name | Required | Description | Default |
|---|---|---|---|
| reload | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the tool read-only, idempotent, and non-destructive. The description adds valuable behavioral detail: returns only safe connection metadata, never exposes private keys/IdentityFile paths/agent sockets/ProxyCommand, and re-parses config without restarting. This is consistent with the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded with the main purpose, then adds safety guarantees, reload guidance, and a pointer to ssh_open. Every sentence earns its place; there is no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Since there is no output schema, the description adequately explains return values (alias, hostname, user, port, proxy_jump) and exclusions. It also covers parameter behavior. For a simple list tool, this is complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% description coverage, so the description must compensate. It fully explains the reload parameter: passing reload=true after editing ~/.ssh/config re-parses without restarting the MCP server. This adds clear meaning beyond the boolean type and default.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists allowed OpenSSH Host aliases from local ssh_config and an explicit allowlist, with a specific resource and scope. However, with a sibling named ssh_list that could also be a listing tool, there is no explicit differentiation from that sibling, preventing a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear usage context: use this to discover aliases for ssh_open, and pass reload=true after editing ~/.ssh/config. It does not explicitly state when not to use it or name alternatives among the sibling tools, so it falls short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ssh_interruptInterrupt SSH foreground commandADestructive
Send Ctrl-C to the current foreground process group and wait for the shell protocol to recover. The session is kept only when recovery is confirmed. Returns nothing_to_interrupt when idle.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses that the session is kept only when recovery is confirmed and that it waits for recovery, going beyond the destructiveHint annotation. Reveals return behavior for idle state.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, direct, no redundant words, front-loads the primary action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers the main behavior and idle return, but omits how the id parameter relates to the session and lacks error cases beyond idle. Given simple schema and no output schema, it's mostly sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% and description never explains the required 'id' parameter. The agent cannot learn from the description what id identifies or how to obtain it.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states it sends Ctrl-C to the current foreground process group, distinguishing it from open/run/peek/list/close siblings. Specific verb 'send' and resource 'foreground process group'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Describes the recovery wait and the 'nothing_to_interrupt' when idle, which guides when it's applicable. Does not explicitly name alternatives but context implies interrupt vs other session operations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ssh_listList persistent SSH sessionsARead-onlyIdempotent
List all live sessions with host, cwd, state, last exit code, idle time, idle-reap countdown, and connection capacity. Use this to recover valid ids; never invent one.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly/idempotent/destructive hints, so the description adds value by specifying the exact fields returned and the 'live session' scope. The mention of 'idle-reap countdown' provides extra lifecycle context beyond what annotations convey, though it does not detail the output format or pagination.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences with zero filler. It front-loads the core action, then packs in specific return fields and a critical usage reminder. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with no parameters and no output schema, the description fully covers behavior, return field details, and usage instructions. The agent knows exactly what to expect from the call and how to apply it, making the tool self-contained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has no parameters, and the schema is empty, so the baseline is 4 per the rubric. The description accurately reflects the parameterless nature and adds no unnecessary parameter details. Nothing is needed beyond the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists all live SSH sessions with a specific set of fields (host, cwd, state, etc.). This distinguishes it from sibling tools that open, run, interrupt, peek, or close sessions. The verb 'list' unambiguously defines the action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly directs users to use this tool to recover valid session ids and warns against inventing ids, which is crucial for safely using other ssh commands. It lacks an explicit 'when not to use' or alternative comparison, but the context of the sibling tools makes the use case clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ssh_openOpen persistent SSH sessionA
Open a new persistent remote bash shell for an allowed ssh_config Host alias from ssh_hosts. Each call creates a clean session with a new id. Credentials come only from local OpenSSH configuration/agent; passwords and private keys are never accepted as arguments and must not be read from disk by the model.
| Name | Required | Description | Default |
|---|---|---|---|
| host | Yes | ||
| name | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Adds significant context beyond annotations: sessions are clean and get a new id, credentials only come from local OpenSSH config/agent, and passwords/private keys are never accepted as arguments nor read from disk. This safety-related transparency is valuable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three focused sentences; every sentence provides useful information without excess. Front-loaded with purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers key constraints (persistent shell, allowed hosts, credential handling, clean session), but does not describe the return value or lifecycle (how to use/close the session). Given no output schema, a mention of what the tool returns or how the session id is used would be helpful.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Describes the 'host' parameter semantically as an allowed ssh_config Host alias from ssh_hosts, but does not explain the 'name' parameter. Schema coverage is 0%, so the description partially compensates but leaves a gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Open') on a specific resource ('a new persistent remote bash shell'), and distinguishes itself from siblings by specifying usage of an allowed ssh_config Host alias from ssh_hosts and clean sessions with new ids.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides context that this is for persistent sessions using allowed hosts, but does not explicitly name alternatives like ssh_run or ssh_peek or state when to use them. The 'from ssh_hosts' constraint gives some usage guidance, but it lacks explicit when/when-not.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ssh_peekPeek at SSH command outputARead-onlyIdempotent
Observe the current foreground command and its latest output without starting another command. When status=running, optional wait_sec (default 0) long-polls this MCP call until the command finishes or the wait expires—prefer a positive wait_sec over busy-looping. wait_sec never stops the remote command. Returns the newest lines in chronological order, limited independently for stdout and stderr; lines defaults to 50 and is capped to protect model context. Use after ssh_run returns status=running. When idle, returns immediately with cwd, last exit code, and the latest lines from the completed command.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| lines | No | ||
| wait_sec | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations (readOnlyHint, idempotentHint), the description adds key behavioral details: wait_sec long-polls but never stops the remote command, output is limited independently for stdout/stderr, lines are capped to protect model context, and idle returns cwd and last exit code. These traits are not in the annotations and significantly enhance transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured and each sentence adds unique value: purpose, wait_sec semantics, output behavior, usage context, and idle behavior. There is no fluff or redundancy, and the length is justified given the parameter complexity and zero schema descriptions.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, the description thoroughly explains return values: newest lines in chronological order for stdout/stderr, and when idle, cwd, last exit code, and latest lines. It also covers all operational states (running vs idle) and parameter effects, making the tool fully comprehensible.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description compensates fully. It explains wait_sec's long-polling behavior and that it never stops the command, lines defaults to 50 with a cap, and id is implicitly tied to ssh_run's returned handle. This gives meaning to all three parameters beyond their raw schema definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool observes the current foreground command and its latest output without starting another command. It distinguishes itself from siblings like ssh_run (start) and ssh_interrupt (interrupt) by focusing on passive observation. The verb 'observe' plus specific resource (SSH command output) makes the purpose unmistakable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Use after ssh_run returns status=running', giving a clear when-to-use directive. It also advises preferring a positive wait_sec over busy-looping, which is a practical usage guideline. The idle-state description further clarifies expected behavior in different conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ssh_runRun command in persistent SSH sessionADestructive
Start a non-interactive command in the same persistent shell identified by id. cwd and environment changes persist. The call waits at most wait_sec (default 10 seconds); if the command is still active it returns status=running without stopping it. Commands have no automatic execution timeout by default. Only an explicitly provided timeout_sec sends Ctrl-C at that deadline. Never retry a running command: poll with ssh_peek(wait_sec=...) so the MCP call blocks until idle or the wait expires; do not spam peeks with wait_sec=0. Call ssh_interrupt to stop it, or open another session for concurrent work. Only one foreground command may run per id. Do not use vim, top, password prompts, or other interactive TUI/input flows.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| command | Yes | ||
| wait_sec | No | ||
| timeout_sec | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond annotations (readOnlyHint=false, destructiveHint=true), the description adds rich behavioral detail: wait_sec behavior with status=running, no automatic timeout, timeout_sec sending Ctrl-C, one foreground command per id, and persistence of cwd/environment changes.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the core operation and then provides precise behavioral and usage clauses. Every sentence adds value, and the length is justified by the tool's complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The lifecycle, timeout, concurrency, and restrictions are thoroughly covered. However, with no output schema, the description does not specify the return payload for completed commands—only mentioning status=running for still-active commands. This is a minor but non-negligible gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has zero property descriptions, but the description fully compensates: id identifies the persistent shell, command is non-interactive, wait_sec is the call wait limit with a default, and timeout_sec triggers Ctrl-C at the deadline. All four parameters are semantically grounded.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it starts a non-interactive command in the same persistent shell identified by id, with persistent cwd and environment changes. This distinguishes it from sibling tools like ssh_open (new session) and ssh_peek/ssh_interrupt.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicit guidance is given: poll with ssh_peek(wait_sec=...), call ssh_interrupt to stop, open another session for concurrency, and never retry a running command. It also explicitly forbids interactive TUI/input flows such as vim or top.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- Added
ssh_hosts
6 tool updates
v0.2.0- First observed
ssh_close - First observed
ssh_interrupt - First observed
ssh_list - First observed
ssh_open - First observed
ssh_peek - First observed
ssh_run
TDQS
Each tool targets a distinct action in the SSH session lifecycle: open creates, run executes, interrupt signals, peek observes, list enumerates, close destroys. There is no overlap or ambiguity between them.
All tool names follow the same ssh_verb pattern using clear, imperative verbs (open, run, interrupt, peek, list, close). The naming is perfectly consistent.
Six tools is an ideal scope for managing remote SSH sessions. Each tool is necessary and none are redundant, covering the full lifecycle without bloat.
The tool set covers the complete lifecycle of a persistent remote shell: open, run, monitor, interrupt, list, and close. Given the non-interactive design constraint, there are no evident gaps for the intended domain.
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