talk-to-your-pc-mcp-server

Provides an MCP server that lets an AI assistant diagnose, inspect, and troubleshoot a user’s local PC by running OS-specific system commands (Windows PowerShell; macOS/Linux bash). Includes purported command validation, dangerous-command blocking, timeout protection, and shows executed commands/outputs for user verification.

Evaluated Apr 04, 2026 (20d ago)
Homepage ↗ Repo ↗ Infrastructure mcp desktop-automation system-diagnostics troubleshooting command-execution cross-platform python
⚙ Agent Friendliness
51
/ 100
Can an agent use this?
🔒 Security
32
/ 100
Is it safe for agents?
⚡ Reliability
18
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
65
Documentation
55
Error Messages
0
Auth Simplicity
80
Rate Limits
0

🔒 Security

TLS Enforcement
20
Auth Strength
30
Scope Granularity
10
Dep. Hygiene
45
Secret Handling
60

Security claims are described at a high level (command validation, dangerous-command blocking, 15s timeouts, OS-specific safety checks, and user transparency). However, there’s no evidence provided of transport security (TLS) or any authentication/authorization model for the MCP server itself. Since this is a local command-execution tool, the main risk is command injection/overreach by an assistant or gaps in validation/allowlists. Secret handling is not explicitly described; environment-variable configuration is a positive sign, but logging redaction is not confirmed.

⚡ Reliability

Uptime/SLA
0
Version Stability
20
Breaking Changes
0
Error Recovery
50
AF Security Reliability

Best When

You have a local machine and an MCP-capable assistant, and you want interactive diagnosis/assistance with the option to review commands and outputs before/after execution.

Avoid When

You cannot trust the assistant’s command selection, the environment is security-sensitive (shared servers/production endpoints), or you lack ability to verify/approve the executed commands.

Use Cases

  • Diagnose performance issues (e.g., why a computer is running slow)
  • Check system/network status (WiFi, IP, disk space, battery, audio volume)
  • Troubleshoot common connectivity problems (e.g., DNS/network adapter resets)
  • Get system information for support/IT troubleshooting via natural language
  • Run guided, safety-checked remediation commands without manually opening settings or searching commands

Not For

  • Acting as a fully automated remote administration tool without user oversight
  • Handling sensitive environments where local command execution is not acceptable
  • Executing high-risk operations that require explicit admin approval beyond the tool’s built-in checks
  • Replacing OS/vendor troubleshooting workflows for critical failures

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: Environment variables for LLM providers (OPENAI_API_KEY, ANTHROPIC_API_KEY, AZURE_OPENAI_API_KEY)
OAuth: No Scopes: No

The README describes configuring LLM provider API keys via environment variables for whichever backend the MCP server uses. It does not describe user auth/authorization for the MCP server itself (e.g., API key per client), nor fine-grained scopes for tool access.

Pricing

Free tier: No
Requires CC: No

No pricing for the MCP server is stated; costs would primarily be from the selected LLM provider API usage and local compute.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Tool executes local OS commands; an agent may propose risky or overly broad fixes unless the server’s allowlist/validation is comprehensive.
  • Some commands may require elevated privileges; agents should handle permission failures gracefully.
  • 15-second timeout may interrupt diagnostics; agents may need to ask for shorter/scope-limited checks.
  • Outputs/commands are shown for verification, so agents should pause to let a user review before proceeding when applicable.

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Scores are editorial opinions as of 2026-04-04.

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