Environment variable LLM_MODEL
No value of this variable is held in this registry. The registry knows only the name the source states.
Entries naming LLM_MODEL as an ordinary environment variable
| Contract Risk Review | io.github.justingyang218/contract-risk-review-mcp | Chinese labor & service contract risk assessment with 25 categories and local law differences. |
|---|---|---|
| Data Aggregator | io.github.musharna/data-aggregator-mcp | Find & fetch research datasets across 18 archives, omics registries, and literature sources. |
| Universal Brute Workpack | io.github.haoyun18881-beep/universal-brute-workpack | Stdio-first Agent MCP workpack for local tools, audit chains, search, memory, and pipelines. |
| com.pulsemcp.servers/pulse-fetch | com.pulsemcp.servers/pulse-fetch | MCP server that extracts clean, structured content from web pages with anti-bot bypass capabilities. |
| com.pulsemcp/pulse-fetch | com.pulsemcp/pulse-fetch | MCP server for fetching web resources with content extraction and anti-bot bypass. |
| a-mem-mcp in namespace io.github | io.github.DiaaAj/a-mem-mcp | Self-evolving memory system for AI agents |
| clarifyprompt in namespace io.github | io.github.LumabyteCo/clarifyprompt | AI prompt optimization for 58+ platforms across 7 categories with custom platforms |
| observe-instrument-mcp in namespace io.github | io.github.alanzha2/observe-instrument-mcp | Add OpenTelemetry tracing to Python AI agents. |
| spomory in namespace io.github | io.github.lyf-wxy/spomory | Explainable graph-retrieval memory engine with an RL-trained management policy. |
| mova-flat-runner in namespace io.github | io.github.mova-compact/mova-flat-runner | Governed AI workflows with human approval gates and audit trails for Claude and MCP clients. |
| biolit in namespace io.github | io.github.rachadele/biolit | LLM-assisted biomedical literature screening and extraction for PubMed, GEO, and preprints. |
| linear-bootstrap in namespace io.github | io.github.toolwright-adk/linear-bootstrap | Bootstrap Linear projects from natural language — milestones, epics, issues, and dependencies. |
Start of the description from the source registry (first sentence, at most 160 characters), untranslated and unverified
Entries naming LLM_MODEL as a secret required variable
No entry.
What the sources write about this name
| Contract Risk Review | LLM model name |
|---|---|
| Data Aggregator | Model name passed to the LLM endpoint (default: gpt-4o-mini); set to whatever your endpoint serves. |
| Universal Brute Workpack | Optional model name for Agent tasks. |
| com.pulsemcp.servers/pulse-fetch | Specific model to use for extraction |
| com.pulsemcp/pulse-fetch | Specific LLM model to use for extraction. |
| a-mem-mcp in namespace io.github | LLM model name (e.g., gpt-4o-mini, llama2, etc.) |
| clarifyprompt in namespace io.github | Model name/ID to use for optimization |
| observe-instrument-mcp in namespace io.github | LLM model to use (default: claude-sonnet-4-6). Supports Anthropic, OpenAI, Gemini, Groq, Ollama via LiteLLM. |
| spomory in namespace io.github | Model name for extraction |
| mova-flat-runner in namespace io.github | OpenRouter model ID for analysis steps. |
| biolit in namespace io.github | Model name override (e.g. claude-sonnet-4-6, gpt-4o) |
| linear-bootstrap in namespace io.github | Model ID for plan generation (e.g. anthropic/claude-sonnet-4.6) |
Taken verbatim from the source, one line per entry. The text is a vendor's own statement and is neither checked nor shortened.
To the environment variable index
Version of the extraction rule: 1.1. The names are formed by splitting the stored original data at the separator this registry set when reading it in. Counted across the 41,867 published entries.
tracevero · https://tracevero.com/variable/LLM_MODEL