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Connect Claude to any OpenAI-compatible LLM endpoint and offload routine work to a local model.
About
Connect Claude to any OpenAI-compatible LLM endpoint and offload routine work to a local model.
Security Report
Houtini LM is a well-engineered MCP server for delegating tasks to local or cloud LLMs. The code demonstrates good security practices: credentials are properly handled via environment variables, file access is appropriately guarded with size limits and optional root confinement, and there is no evidence of malicious patterns or unauthorized network calls. Minor code quality observations (broad error handling, some input validation opportunities) do not significantly impact the security posture. Permissions (network_http, env_vars, file_read, filesystem_cache) are appropriate for a developer tool that routes requests between Claude and external LLM endpoints. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
3 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: HOUTINI_LM_ENDPOINT_URL
Environment variable: HOUTINI_LM_API_KEY
Environment variable: HOUTINI_LM_MODEL
Environment variable: HOUTINI_LM_PROVIDER
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-houtini-ai-lm": {
"env": {
"HOUTINI_LM_MODEL": "your-houtini-lm-model-here",
"HOUTINI_LM_API_KEY": "your-houtini-lm-api-key-here",
"HOUTINI_LM_PROVIDER": "your-houtini-lm-provider-here",
"HOUTINI_LM_ENDPOINT_URL": "your-houtini-lm-endpoint-url-here"
},
"args": [
"-y",
"@houtini/lm"
],
"command": "npx"
}
}
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