io.github.mkXultra/ai-cli-mcp
NPM · AI-CLI-MCP
Run Claude, Codex, Gemini, Forge, and OpenCode CLIs through MCP with background jobs
Available components
Last scanned (4 hours ago)
Scores higher than 91% of npm servers
Category AI and Machine Learning
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security81
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known high-severity CVE affects zod 3.25.76, a direct dependency. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 30 of 93 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to mkXultra/ai-cli-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 35 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability71
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1511 tokens (~167/item across 9 items; 9 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "kill_process" implies "kill" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
- An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 0
- Security disclosure: fail → unverified ▼ functional
- 3 Nov 26 0
- Stability: 0.97 → pass security
- 2 Nov 26 0
- Stability: pass → 0.97 functional
- 27 Oct 26 0
- Stability: 0.97 → pass security
- 26 Oct 26 0
- Stability: pass → 0.97 functional
- 24 Oct 26 −5
- CVE-2023-54404 affects this package: high ▼ security
- Known CVEs: pass → fail ▼ security
- 20 Oct 26 0
- Stability: 0.97 → pass security
- 19 Oct 26 0
- Stability: pass → 0.97 functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/ai-cli-mcp@2.24.0
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | mkXultra/ai-cli-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/mkXultra/ai-cli-mcp/.github/workflows/publish.yml@refs/heads/develop |
| Rekor log index | 2816596670 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:973472cc678599611c0794337c8d475ddbc40b098b7764eb2f83631fe4c5d7081c08010907c50527ad781e011f7f729f85b07c5e35aac5a4604beebaf |
Background: How many MCP packages publish verified provenance →
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-mrhx-c7xc-m3w5 | CVE-2023-54404 | high | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 93 packages
| Packages resolved | 93 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
cleanup_processes ~24
Remove all completed and failed processes from the process list to free up memory.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
doctor ~26
Check supported AI CLI binary availability and path resolution. Does not verify login state or terms acceptance.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_result ~88
Get the current output and status of an AI agent process by PID. Defaults to a compact result shape; set verbose to true for full metadata and detailed parsed output.
| Name | Type | Req | Description |
|---|---|---|---|
| pid | number | yes | The process ID returned by run tool. |
| verbose | boolean | – | Optional: If true, returns the full result shape including metadata fields and detailed parsed output such as tool usage history. Defaults to false. |
No output schema declared.
No examples provided.
kill_process ~30
Terminate a running AI agent process by PID.
| Name | Type | Req | Description |
|---|---|---|---|
| pid | number | yes | The process ID to terminate. |
No output schema declared.
No examples provided.
list_processes ~34
List all running and completed AI agent processes. Returns a simple list with PID, agent type, and status for each process.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
models ~21
List supported model names, model aliases, and dynamic backend discovery hints.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
peek ~197
One-shot short observation window for running child agents. Returns only natural-language message events, and optionally normalized tool_call events, observed during this call; not a history API, not gapless streaming, and not stdout/stderr tailing. In v1, message extraction is supported for Codex, Claude, OpenCode, Gemini, and best-effort Forge Summary/Completed successfully lines. Forge tool calls are low-precision Execute/Finished markers and never include command output. Tool calls exclude raw tool output.
| Name | Type | Req | Description |
|---|---|---|---|
| include_tool_calls | boolean | – | Optional: include normalized tool_call events without raw tool output. Defaults to false. |
| peek_time_sec | number | – | Optional positive integer observation window in seconds. Defaults to 10; maximum is 60. |
| pids | array | yes | Process IDs returned by run. Duplicates are deduplicated server-side, preserving first occurrence order. Unknown PIDs are returned per process as not_found. |
No output schema declared.
No examples provided.
run ~978
AI Agent Runner: Starts a Claude, Codex, Gemini, Forge, or OpenCode CLI process in the background and returns a PID immediately. Use list_processes and get_result to monitor progress. • File ops: Create, read, (fuzzy) edit, move, copy, delete, list files, analyze/ocr images, file content analysis • Code: Generate / analyse / refactor / fix • Git: Stage ▸ commit ▸ push ▸ tag (any workflow) • Terminal: Run any CLI cmd or open URLs • Web search + summarise content on-the-fly • Multi-step workflows & GitHub integration **IMPORTANT**: This tool now returns immediately with a PID. Use other tools to check status and get results. **Supported models**: "claude-ultra", "codex-ultra", "gemini-ultra", "sonnet", "sonnet[1m]", "opus", "opusplan", "fable", "haiku", "gpt-6-astra", "gpt-5.4", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.5", "gpt-5.4-mini", "gpt-5.3-codex", "gpt-5.3-codex-spark", "gpt-5.2", "gemini-2.5-pro", "gemini-2.5-flash", "gemini-3.1-pro-preview", "gemini-3-pro-preview", "gemini-3-flash-preview", "forge", "opencode", "oc-<provider/model>" **Prompt input**: You must provide EITHER prompt (string) OR prompt_file (file path), but not both. **Prompt tips** 1. Be concise, explicit & step-by-step for complex tasks. 2. Check process status with list_processes 3. Get results with get_result using the returned PID 4. Kill long-running processes with kill_process if needed
| Name | Type | Req | Description |
|---|---|---|---|
| model | string | – | The model to use. Aliases (including user config): "claude-ultra" (opus; auto max reasoning), "codex-ultra" (gpt-6-astra; auto ultra reasoning), "gemini-ultra" (gemini-3.1-pro-preview). An explicit r… |
| prompt | string | – | The detailed natural language prompt for the agent to execute. Either this or prompt_file is required. |
| prompt_file | string | – | Path to a file containing the prompt. Either this or prompt is required. Must be an absolute path or relative to workFolder. |
| reasoning_effort | string | – | Reasoning control for Claude and Codex. Claude uses --effort with "low", "medium", "high", "xhigh", "max". Codex uses model_reasoning_effort with "low", "medium", "high", "xhigh"; GPT-6 Astra and GPT… |
| session_id | string | – | Optional session ID to resume a previous session. Supported for Claude, Codex, Gemini, Forge, and OpenCode. OpenCode resumes in-place via --session and may also be combined with explicit oc-<provider… |
| workFolder | string | yes | The working directory for the agent execution. Must be an absolute path. |
No output schema declared.
No examples provided.
wait ~113
Wait for multiple AI agent processes to complete and return their results. Defaults to compact result items; set verbose to true for full metadata and detailed parsed output.
| Name | Type | Req | Description |
|---|---|---|---|
| pids | array | yes | List of process IDs to wait for (returned by the run tool). |
| timeout | number | – | Optional: Maximum time to wait in seconds. Defaults to 180 (3 minutes). |
| verbose | boolean | – | Optional: If true, each result item uses the full result shape including metadata fields and detailed parsed output. Defaults to false. |
No output schema declared.
No examples provided.
How do I install the io.github.mkXultra/ai-cli-mcp server?
io.github.mkXultra/ai-cli-mcp runs locally as an npm package, launched with npx -y ai-cli-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · ai-cli-mcp
claude mcp add mkxultra-ai-cli-mcp -- npx -y ai-cli-mcp
What is the io.github.mkXultra/ai-cli-mcp server?
io.github.mkXultra/ai-cli-mcp is listed in the public MCP registry as io.github.mkXultra/ai-cli-mcp. Run Claude, Codex, Gemini, Forge, and OpenCode CLIs through MCP with background jobs. This page covers its npm package (ai-cli-mcp).
Is the io.github.mkXultra/ai-cli-mcp server safe to use?
io.github.mkXultra/ai-cli-mcp scores 87 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.mkXultra/ai-cli-mcp server expose?
io.github.mkXultra/ai-cli-mcp exposes 9 tools: run, list_processes, get_result, wait, peek, and 4 more. Their descriptions and schemas cost roughly 1,511 tokens of context every time the server is loaded.
Is the io.github.mkXultra/ai-cli-mcp server still maintained?
io.github.mkXultra/ai-cli-mcp is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.mkXultra/ai-cli-mcp server under?
io.github.mkXultra/ai-cli-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.