{"id":"vllm-mcp-server","name":"vllm-mcp-server","homepage":"https://pypi.org/project/vllm-mcp-server/","repo_url":"https://github.com/micytao/vllm-mcp-server","category":"ai-ml","subcategories":[],"tags":["mcp","vllm","llm-inference","docker","podman","local-ai","model-management","tools"],"what_it_does":"vLLM MCP server that exposes vLLM chat/completions plus model and status/metrics capabilities to MCP-compatible clients. It can also start/stop/manage a vLLM instance in Docker/Podman with platform/GPU-aware container selection and runtime configuration via environment variables and MCP tools.","use_cases":["Connect an MCP-capable assistant (Claude Desktop, Cursor, etc.) to a local vLLM server","Automate starting/stopping a local vLLM container appropriate to the host (CPU vs GPU; macOS vs Linux/Windows)","List and inspect available models served by vLLM","Provide model health/status and (claimed) metrics resources to agents","Run optional GuideLLM benchmarking through the MCP server"],"not_for":["Production-grade hosted inference with managed scaling/SLAs","Environments requiring strict governance of containers (untrusted runtime configuration, supply-chain control)","Use cases needing first-class authn/z and multi-tenant isolation at the MCP layer"],"best_when":"You want local, self-hosted LLM inference accessible via MCP tools, and you are comfortable running containers (Docker/Podman) on your machine with configured environment variables (e.g., HuggingFace token).","avoid_when":"You need strong tenancy isolation, robust operational security controls for container execution, or you cannot tolerate managing/gating access to local inference endpoints and container lifecycle.","alternatives":["Use vLLM’s native OpenAI-compatible API directly (without MCP)","Other MCP servers that wrap OpenAI-compatible endpoints","Run an OpenAI-compatible proxy in front of vLLM and connect MCP clients to the proxy"],"af_score":56.5,"security_score":44.5,"reliability_score":30.0,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:40:04.300536+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Environment variable pass-through for HuggingFace token (VLLM_HF_TOKEN)","Optional vLLM API key via environment variable (VLLM_API_KEY) if required by the upstream vLLM server"],"oauth":false,"scopes":false,"notes":"Authentication is primarily via environment variables intended to configure the underlying vLLM server. The README does not describe MCP-level authn/z, user authentication, or fine-grained scopes."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Open-source package (Apache-2.0). Costs are those of running vLLM locally (compute/GPU) and pulling container images/models."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":56.5,"security_score":44.5,"reliability_score":30.0,"mcp_server_quality":78.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":70.0,"rate_limit_clarity":10.0,"tls_enforcement":60.0,"auth_strength":45.0,"scope_granularity":10.0,"dependency_hygiene":55.0,"secret_handling":55.0,"security_notes":"Uses environment variables for sensitive values (e.g., VLLM_HF_TOKEN, optional VLLM_API_KEY). The README does not document secret redaction/logging behavior, MCP-level authn/z, or network/TLS requirements for VLLM_BASE_URL (it defaults to http://localhost:8000). Container execution (Docker/Podman) increases host risk if the environment or tool parameters are not controlled.","uptime_documented":20.0,"version_stability":35.0,"breaking_changes_history":35.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":"Container lifecycle tools are described (start/stop/restart) but the README does not state idempotency guarantees (e.g., safe repeated start/stop, handling already-running/stopped states).","pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["MCP client tooling must be configured correctly (command/args/env) for the MCP server process to start","HuggingFace gated models require VLLM_HF_TOKEN; failures may occur if unset/invalid","Container runtime and GPU detection depend on host environment; incorrect runtime selection could lead to startup failures"]}}