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  1. Home
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  3. Execkit
Execkit logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 1:31:57 PM

Execkit

User RatingsBe the first to rate and review this MCP server!
View Repository7 GitHub StarsTotal stargazers on GitHub for the source repository (7 stars).Visit Website
code-executionshellsshdockerdeveloper-tools

Runs stateful, structured shell sessions locally, over SSH, or in Docker with policy checks, redaction, output limits, and remote file checkpoints.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

This server is confirmed live — we successfully called its tools/list endpoint directly (see the verified badge above). We haven't yet sandbox-tested the stdio install command below specifically, which is a separate, ongoing check.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "blinkingbit-oss-execkit": {
      "command": "uvx",
      "args": [
        "execkit-mcp"
      ]
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (6) Directory Badge Claim listing AlternativesšŸ–„ļø More in Command Line

Overview

The blinkingbit-oss/execkit MCP server gives agents persistent shell sessions across local hosts, SSH connections, and running Docker containers. Commands return structured results with separate output streams, exit status, duration, working directory, truncation status, and optional output-budget reports. It applies advisory command policies, redacts secrets before returning output, verifies SSH host keys, and can checkpoint or restore remote workspace files when Git and an explicit workspace are configured. Reach for it when an agent needs multi-step command execution with consistent state and bounded, auditable output rather than isolated terminal calls.

Use cases

•Run multi-step shell workflows while preserving working-directory state
•Execute commands on SSH hosts with host-key verification
•Operate inside running Docker containers through a consistent MCP interface
•Limit large command output before it reaches an agent context
•Restore remote workspace files after an unsuccessful command

Key features

•Stateful local, SSH, and Docker sessions
•Structured stdout, stderr, exit code, duration, and working directory
•Advisory command allow and deny policies
•Secret redaction and bounded output
•Git-backed remote workspace checkpoints
•SSH host-key fingerprint verification

Capabilities & Tool Schemas (6) ~2.0k tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Verified live Verified liveCaptured by calling this server’s live tools/list endpoint.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Execkit.

session_checkpoint

Take a workspace checkpoint on a REMOTE session (snapshot of files you can restore). Requires git on the remote host. Undoes FILES only - not side effects (DB, network, installs). Returns { checkpoint_id }.

session_checkpoints

List checkpoints (newest first) for a remote session.

session_create

Open a stateful shell session. transport is "local", "ssh", or "docker". ssh needs host, user, and password or key_path; docker needs container (a running container name/id). Optional fingerprint (pin host key), allow/deny command lists. Returns a session_id. Remote sessions support workspace checkpoints - requires git on the remote AND an explicit workspace (set 'workspace'; without it checkpoints/auto_snapshot are disabled, never defaulting to the home dir). Tune with auto_snapshot, paths, checkpoint_ignores. Pass output_budget (same shape as session_exec's budget) to default-shape every command's output.

session_destroy

Destroy a session and free its resources.

session_exec

Run a command in a session; returns a structured ExecResult JSON (stdout, stderr, exit_code, duration_ms, cwd, truncated). Optionally pass budget to shape output: {grep:{pattern,context?}, keep:{mode:"all"|"tail"|"head"|"head_tail",n?|head?+tail?}, max_chars?}. Shaping is line-based, client-side, AFTER secret redaction; it never changes the exit code or side effects. When applied, the result includes a budget report (per-stream mode + lines_total/lines_kept).

session_restore

Restore a remote session's workspace FILES to a checkpoint (omit checkpoint_id to restore the most recent). Does not undo side effects.

How Execkit works

What blinkingbit-oss/execkit MCP server does

The blinkingbit-oss/execkit MCP server exposes stateful command execution through MCP. An agent can create a session using a local shell, an SSH host, or an already-running Docker container, then execute multiple commands against that same session. Working-directory changes, environment state, and other shell-session state persist between calls.

Each execution produces structured data rather than terminal text that the client must parse. Results can include stdout, stderr, exit code, elapsed time, current working directory, and whether output was truncated. A loopback, read-only browser viewer is also described for streaming the live transcript.

Remote sessions can use Git-backed workspace checkpoints. Checkpoints cover files in the configured workspace and can later restore those files. They do not reverse external effects such as database changes, network activity, or package installation.

How it works

A command passes through an advisory policy check before reaching the selected transport. Allowed commands run through the local, SSH, or Docker session, after which output is secret-redacted and optionally shaped by a budget. Budgeting operates client-side after redaction and can filter lines with grep, keep the beginning or end of output, keep both ends, or impose a character limit. The command's exit code and side effects are not changed by output shaping.

SSH sessions can verify a host key using a supplied fingerprint. Session creation accepts SSH connection details, including a host, user, and password or key path. Docker sessions require the name or ID of a running container.

Setup and configuration

Install the blinkingbit-oss/execkit MCP server from the execkit-mcp Python package, a prebuilt release binary, or Cargo. An MCP client starts the execkit-mcp executable as a stdio server. The README shows Claude MCP configuration using that executable.

When creating a session, choose local, ssh, or docker as the transport. SSH requires connection credentials, while Docker requires a running container. Command allow and deny lists can be supplied. For remote checkpoints, set an explicit workspace and ensure Git is installed on the remote host; the server does not silently use the home directory. Output budgets can be configured per command or as a session default.

Tools and capabilities

  • session_create: Open a stateful local, SSH, or Docker shell session.
  • session_exec: Run a command and receive a structured execution result with optional output shaping.
  • session_destroy: End a session and release its resources.
  • session_checkpoint: Snapshot files in a remote workspace.
  • session_checkpoints: List remote checkpoints, newest first.
  • session_restore: Restore the latest or a selected remote checkpoint.

Limitations and notes

The blinkingbit-oss/execkit MCP server is an early 0.x release and is explicitly not production-ready. Its command policy is advisory string matching, not a sandbox, so the agent and connecting SSH user still need least-privilege permissions. Local sessions require a POSIX shell, and the project is Unix-only at present.

A timed-out command makes its session unusable; create a new session after that error. The core is synchronous and is not tuned for very large numbers of concurrent sessions. SSH's AcceptAny host-key mode exists for testing but is explicitly insecure. Checkpoints restore files only and cannot undo side effects outside the workspace.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
7
Stargazers on the source repository.
npm downloads
11
Package downloads in the last 30 days.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
6
Callable tools this server registers over MCP.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Execkit

Install the `execkit-mcp` package with pip, use the project's prebuilt release installer, or install it with Cargo. The MCP executable is named `execkit-mcp`.

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Technical Specs & Signals

CategoryšŸ–„ļøCommand Line
PricingFree
More technical detailsExpand ā–¾
TransportSTDIO
RuntimePython
AuthNo auth required
LicenseApache-2.0
ClientsClaude Desktop
Last updatedSep 7, 2026
10/10 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars7
GitHub Star CountTotal stargazers on GitHub representing community popularity (7 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 1, 2026
npm downloads11/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
60Quality signal: Good Ā· 60/100How this signal is calculated ā–¾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools30/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 20d ago via OSV.dev Ā· execkit-mcp (PyPI)

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