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execkit

Stateful, structured, safe command execution for AI agents - over local shells, SSH, and Docker.

Install / Use

claude mcp add jayashankarvr -- npx -y github:jayashankarvr/execkit

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

80/100

Category

Operations

Supported Platforms

Claude Code
Claude Desktop

Our assessment of execkit

execkit scores 80/100 on our quality scale, 527th of 633 Operations skills we index.

Its MCP Server is 9.9 KB long, well organised into 13 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
4/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 4 days ago, so execkit is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-10-01. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

execkit compared with similar skills

All 4 of these similar skills score higher than execkit; compare them before choosing.

SkillScoreStarsUpdatedFormat
execkit (this skill)by jayashankarvr80104d agoMCP Server
Agent-Reachby Panniantong10087.2k16d agoCLAUDE.md
headroomby headroomlabs-ai10074.2ktodayCLAUDE.md
rufloby ruvnet10073.6ktodayCLAUDE.md
CowAgentby zhayujie10047.2ktodayCLAUDE.md

Frequently asked questions

How do I install execkit?
Run claude mcp add jayashankarvr -- npx -y github:jayashankarvr/execkit. The install tabs above show the steps for each supported agent.
Which AI agents does execkit work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is execkit safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is execkit still maintained?
The repository was last updated 4 days ago, so execkit is actively maintained.
<div align="center">

execkit

Persistent, structured shell sessions for AI agents, on your laptop, your servers over SSH, and your Docker containers.

CI crates.io docs.rs guide license

The execkit live viewer: sessions grouped by transport and host on the left, the selected session's timestamped shell transcript with exit codes and timings on the right

</div>

What you get that a built-in agent shell doesn't:

  • Persistent sessions on local, SSH and Docker. cd and env carry across calls, and every command returns a structured result: split stdout/stderr, exit code, duration, cwd.
  • Output that protects the agent's context. Secrets are redacted before the model sees them, and output budgets (tail, head, grep, a char cap) keep a noisy build from flooding the context window.
  • An audit trail, a live viewer, and undo. Every command can go to a JSONL audit log, you can watch sessions live in a terminal or browser (above), and remote sessions can checkpoint and restore the workspace files.

Install

Zero-install, with uv. Add this to your MCP client config:

{ "mcpServers": { "execkit": { "command": "uvx", "args": ["execkit-mcp"] } } }

Or install it and let execkit print the config for your client:

pip install execkit-mcp && execkit-mcp setup claude   # or: cursor | gemini | codex | vscode | windsurf

Then execkit-mcp doctor checks your setup. More options (prebuilt binary, cargo install, building from source) are in the Quickstart.

Status: early 0.x. The API may change between minor versions. Read Limitations before pointing it at anything important.

Where it fits

execkit complements your agent's built-in shell or sandbox; it does not replace it. Use it when the agent needs to work on a remote host or inside a container, when you want a record of what ran, or when you want to undo file changes on a remote workspace.

The agent is the adversary. The LLM driving execkit can be prompt-injected by anything it reads, so execkit contains its own caller: a command passes the policy fence before it runs, secrets are redacted before output returns, and a changed SSH host key fails loudly instead of reconnecting into a MITM.

flowchart LR
    A([AI agent]) -->|command| F{policy fence}
    F -->|blocked| X([rejected, never runs])
    F -->|allowed| T[transport: local / SSH / Docker]
    T --> O[raw output]
    O --> R[redact secrets, bound output]
    R --> E([structured ExecResult])
    E -.-> A

Use it from an agent (MCP)

The agent gets session_create (local, ssh, or docker), session_exec, session_list and session_destroy, plus session_checkpoint / session_checkpoints / session_restore for remote undo.

State persists across calls, and every result is parsed, not scraped from a terminal:

// session_exec {"command": "cd /app && npm ci"}   -> { "exit_code": 0, "cwd": "/app" }
// session_exec {"command": "npm run build"}        // cwd is still /app
//   -> { "stderr": "Error: Cannot find module 'webpack'",
//        "exit_code": 1, "duration_ms": 3420, "cwd": "/app",
//        "truncated": false, "timed_out": false }

Commands time out after 120 seconds by default (timeout_secs per call, up to 3600). On timeout execkit interrupts the command with Ctrl-C and returns timed_out: true with exit code 124. The session keeps its cwd and env.

See crates/execkit-mcp/README.md for the operator security settings (host-key verification, key dir, audit, session limits).

Watch what the agent does

Set EXECKIT_MCP_AUDIT_DIR and every session is recorded. execkit-mcp watch shows it live in the terminal, and execkit-mcp watch --serve --open opens the read-only browser viewer shown at the top.

| | | |---|---| | Transcript search with highlighted matches and a next-error button | Per-session menu with rename, pin, keep, export and screenshot; the transcript shows a failed command and a command blocked by policy | | Search a transcript with / and jump between errors. | Rename, pin or keep a session, export it, or take a screenshot. Blocked commands show inline. |

Use it as a library

[dependencies]
execkit = "0.9"                                           # local + SSH + Docker
# execkit = { version = "0.9", default-features = false }  # local + Docker only (no SSH; no russh/tokio)
use std::time::Duration;
use execkit::{Policy, Session};

fn main() -> Result<(), execkit::Error> {
    let mut s = Session::local()?
        .with_policy(Policy { allow: vec![], deny: vec!["rm".into()] })
        .with_timeout(Duration::from_secs(60));

    let r = s.exec("echo hi; echo err 1>&2; cd /tmp")?;
    // r.stdout == "hi"  r.stderr == "err"  r.exit_code == 0  r.cwd == "/tmp"
    println!("{} (exit {})", r.stdout, r.exit_code);

    let r = s.exec_with_timeout("sleep 30", None, Duration::from_secs(1))?;
    // r.timed_out == true  r.exit_code == 124; the session is still usable
    Ok(())
}

Runnable examples: cargo run --example local, EXECKIT_SSH="user:password@host:22" cargo run --example ssh, and EXECKIT_DOCKER=<container> cargo run --example docker.

Python

The same sessions from Python. pip install execkit (native bindings, no Rust toolchain needed):

from execkit import Session

with Session.local() as s:
    r = s.exec("echo hi; echo err >&2; cd /tmp")
    print(r.stdout, r.exit_code, r.cwd, r.stderr)   # hi 0 /tmp err

See crates/execkit-py/README.md.

What's in the box

  • Persistent, stateful sessions over local PTY, SSH, or Docker. SSH accepts host aliases from your ~/.ssh/config.
  • Structured ExecResult: split stdout/stderr, exit code, duration, cwd, truncated, timed_out.
  • Base64 command framing. Comments, heredocs, !, trailing &, syntax errors and long commands do not hang the session.
  • Timeouts that keep the session. A timed-out command is interrupted and the session carries on.
  • Secret redaction of common token shapes (AWS, GitHub, GitLab, Slack, Stripe, Google, Anthropic, OpenAI, JWTs, PEM private keys), URL passwords, password=/token=-style pairs, and values the session assigned to secret-named variables. The echoed command is redacted too.
  • Output budgets: tail/head/head+tail by line, a grep filter with context, and a char cap. Per call or a session default; the result reports what was kept.
  • Undo for agent actions on remote sessions: snapshot the workspace and restore files if a command goes wrong (needs git on the remote and an explicit workspace; files only, not side effects).
  • Audit log and live viewer, plus live MCP notifications to the client.
  • Embeddable, never a service: cargo add, in your process; no daemon, no vendor.

Upgrading to 0.9

Breaking changes from 0.8. The details are in Upgrading to 0.9.

  • SSH host keys are pinned in ~/.execkit/known_hosts, not ~/.ssh/known_hosts. Old pins are not read. The first connection re-pins, or copy them over with mkdir -p ~/.execkit && chmod 700 ~/.execkit then grep -E '^[^ ]+ SHA256:' ~/.ssh/known_hosts >> ~/.execkit/known_hosts. Old pins were keyed by bare host whatever the port: rewrite a line for a non-22 port as [host]:port, or a later port-22 connection to that host fails as a key mismatch.
  • stdin is /dev/null for every command, and pagers are set to cat.
  • The target needs base64.
  • A timeout returns exit code 124 with timed_out: true and keeps the session, instead of an error that closed it. ExecResult has a new timed_out field.
  • Session ids look like a3f9-1_local instead of 1_local.
  • SshConfig has a new connect_timeout field (default 15 s). Use SshConfig::new.

Limitations

  • Not a sandbox. The command policy is advisory string matching. It is easy to bypass: deny: ["curl"] blocks curl but not env curl, sudo curl or sh -c curl. The real control is a least-privilege environment: run the agent and SSH user with minimal rights.
  • No interactive input. stdin is /dev/null, so prompts, REPLs and editors do not work. Use non-interactive flags (sudo -n, apt-get -y). Pagers default to cat, but running less or vim directly hangs until the timeout and closes the session. Shell history is off.
  • Timeouts interrupt, they do not kill everything. execkit sends Ctrl-C. A command that ignores Ctrl-C ends the session. For long jobs, run them in the background (nohup CMD > /tmp/job.log 2>&1 &) and poll the log.
  • The target needs a POSIX shell and base64. Local sessions use bash. Windows is not supported.
  • Synchronous core. Fine for typical agent use; not tuned for thousands of concurrent sessions.
  • SSH AcceptAny host-key mode exists for testing, behind an explicit insecure opt-in. Never use it in production.

Found something rough? Open an issue.

Contributing & security

  • Contributions: see CONTRIBUTING.md.
  • Found a vulnerability? Follow SECURITY.md. Please don't open a public issue for security reports.

License

Apache-2.0: embed it freely, including commercially. See LICENSE and NOTICE.

Related Skills

View on GitHub
GitHub Stars10
CategoryOperations
Updated4d ago
Forks0

Languages

Rust

Trust signals

92/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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