using-the-mcp-server
SkillSecurityUse when calling LLM APIs through the liter-llm MCP server's 22 tools, and to decide when MCP beats the CLI or SDK. Covers the tool surface, the auto-installing launcher, and authentication.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the using-the-mcp-server skill
What this skill tells your AI
The instructions your AI receives, as published by xberg-io/liter-llm in plugin/skills/using-the-mcp-server/SKILL.md and read by ahel’s review.
Using the MCP Server
The liter-llm MCP server exposes 22 tools that mirror the proxy's REST
endpoints, so an MCP-compatible client (Claude Code, Claude Desktop) can call
165 LLM providers as tools with no glue code.
How it runs in this plugin
The plugin auto-registers the server. Its command is the bundled launcher
scripts/mcp-launch.sh, which execs liter-llm mcp --transport stdio. On first
run the launcher resolves a liter-llm binary: it reuses one on PATH, then
tries npx/uvx, then Homebrew, then downloads a checksum-verified prebuilt
from the tool's latest GitHub release. Override with
LITER_LLM_LAUNCHER=auto|npx|uvx|brew|download.
To run it manually:
liter-llm mcp --transport stdio # for Claude Code / Claude Desktop
liter-llm mcp --transport http --port 3001
The 22 tools
Modality tools: chat, embed, generate_image, speech, transcribe,
moderate, rerank, search, ocr.
Model listing: list_models.
File operations: create_file, list_files, retrieve_file, delete_file,
file_content.
Batch operations: create_batch, list_batches, retrieve_batch,
cancel_batch.
Responses API: create_response, retrieve_response, cancel_response.
Authentication
stdio has no per-request auth headers, so the server binds auth once at startup
via [mcp] config: set mcp.stdio_key_id to bind a specific virtual key, or
mcp.stdio_trust_local = true for fully trusted local environments. Provider
keys still come from env vars.
When to prefer MCP over the CLI or SDK
- Prefer MCP inside an agent session: the agent invokes tools directly, with no code to write or process to manage.
- Prefer the SDK when building application software in a specific language.
- Prefer the proxy when many apps or teams need a shared OpenAI-compatible endpoint with keys, budgets, and rate limits.
Signals
- GitHub stars
- 252
- Forks
- 21
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
using-the-mcp-server-xberg-io- Source
- github.com/xberg-io/liter-llm