lmstudio-mcp

lmstudio-mcp

Enables diagnosing, testing, benchmarking, and deliberately controlling LM Studio through a local-only MCP stdio server, with mutations disabled by default and evidence-based capability verification.

Category
Visit Server

README

lmstudio-mcp

A production-oriented, local-only Model Context Protocol (MCP) stdio server for diagnosing, testing, benchmarking, and deliberately controlling LM Studio.

It talks only to a loopback LM Studio server, has no cloud fallback or telemetry, never downloads a model, and disables all mutations by default.

Why this exists

LM Studio exposes several API families and model metadata does not prove runtime behavior. This server gives MCP clients one consistent interface and keeps three kinds of evidence separate:

  • DECLARED — model metadata claims.
  • DETECTED — passive endpoint or runtime observations.
  • VERIFIED — a completed live test, such as a real tool-call round trip.

Architecture

flowchart LR
  Client["MCP client<br/>Codex or another SDK client"] -->|"stdio"| Server["lmstudio-mcp"]
  Server -->|"HTTP on loopback only"| Native["LM Studio native API"]
  Server -->|"HTTP on loopback only"| OpenAI["OpenAI-compatible APIs"]
  Server -->|"spawn with argument arrays"| CLI["lms CLI"]
  Server --> Evidence["In-process capability evidence"]
  Evidence --> Snapshot["Canonical JSON + SHA-256 snapshot"]

Requirements

  • Node.js 20, 22, or 24
  • LM Studio with its local server enabled
  • Optional: lms on PATH, or LMSTUDIO_LMS_PATH set to the executable

The implementation is cross-platform TypeScript. macOS is live-verified; Linux and Windows are exercised by the CI matrix for build, unit, and MCP protocol behavior. Live LM Studio integration on those platforms remains environment-dependent and is not claimed by CI.

Install and build

git clone https://github.com/Ka1y0/lmstudio-mcp.git
cd lmstudio-mcp
corepack enable
pnpm install --frozen-lockfile
pnpm build
pnpm test

npm install, npm run build, and npm test are also supported. Live integration tests skip when LM Studio is unavailable and never load, unload, or download models.

Configuration

Variable Default Meaning
LMSTUDIO_BASE_URL http://127.0.0.1:1234 Must use http:// and a loopback hostname.
LMSTUDIO_API_TOKEN empty Optional local bearer token; never persisted by this project.
LMSTUDIO_MCP_ALLOW_MUTATIONS false Enables the two explicit load/unload tools.
LMSTUDIO_DEFAULT_MODEL empty Default model identifier for tests.
LMSTUDIO_REQUEST_TIMEOUT_MS 120000 HTTP/CLI timeout, bounded to 250–300000 ms.
LMSTUDIO_LOG_CAPTURE_MAX_SECONDS 30 Log stream duration, bounded to 1–120 seconds.
LMSTUDIO_LMS_PATH lms lms executable name or absolute path.

The server intentionally has no dotenv dependency. Pass variables from the MCP launcher; .env.example is only a reference.

Register with Codex

Build first, then use absolute paths appropriate to your machine:

codex mcp add lmstudio-mcp \
  --env LMSTUDIO_BASE_URL=http://127.0.0.1:1234 \
  --env LMSTUDIO_MCP_ALLOW_MUTATIONS=false \
  --env LMSTUDIO_LMS_PATH=/absolute/path/to/lms \
  -- node /absolute/path/to/lmstudio-mcp/dist/index.js

Check registration with codex mcp get lmstudio-mcp and codex mcp list. A client session opened before registration may need to be restarted.

Tools

The server exposes 18 tools:

Tool Class Purpose
lmstudio_status read-only Health, versions, reachability, and model counts.
lmstudio_list_models read-only Downloaded model metadata.
lmstudio_list_loaded_models read-only Loaded runtime instances.
lmstudio_inspect_model read-only Static and runtime model information.
lmstudio_test_inference inference One bounded native, Chat Completions, or Responses request.
lmstudio_test_endpoints inference Classify the three API families.
lmstudio_test_tool_calling inference Deterministic non-streaming tool-call round trip.
lmstudio_test_streaming_tool_calling inference Streamed call reassembly, execution, continuation, progress, and cancellation.
lmstudio_test_structured_output inference Schema enforcement versus JSON/prompt-only output.
lmstudio_capabilities read-only DECLARED/DETECTED/VERIFIED summary.
lmstudio_export_capability_snapshot read-only Secret-free canonical snapshot and SHA-256.
lmstudio_security_audit read-only Bind, CORS, auth, logging, and destination checks.
lmstudio_benchmark inference Small bounded streaming benchmark.
lmstudio_capture_logs read-only Bounded, redacted log capture with child cleanup.
lmstudio_diagnose read-only Findings, probable causes, and actions.
lmstudio_validate_mcp read-only Read-only validation of LM Studio's MCP config.
lmstudio_load_model mutating Load an already-downloaded model; disabled by default.
lmstudio_unload_model mutating Unload one explicit identifier; disabled by default.

For LLMs and Agents

Machine-oriented documentation is intentionally separate from this human overview:

  • llms.txt is the concise routing and safety index.
  • docs/LLM_USAGE.md is the canonical agent operating manual.
  • docs/mcp-tools.json is generated from the actual MCP registry and contains every current tool schema plus operational metadata.

Run pnpm docs:tools after tool changes and pnpm docs:check to detect drift.

All tools with output schemas return both human-readable content and machine-readable structuredContent.

Streaming verification

lmstudio_test_streaming_tool_calling uses one inert fixture, lookup_test_record(742). It reconstructs fragmented call IDs, function names, and JSON arguments; rejects missing, malformed, duplicate, multiple, or schema-invalid calls; executes no shell/filesystem/network action; returns {project, status, value} to the model; and validates labeled fixture values in the streamed continuation. Final-answer comparison ignores punctuation delimiters but never missing labels, altered letters, or altered digits.

The tool emits MCP progress notifications only when the caller supplies a progress token. MCP cancellation aborts the underlying LM Studio fetch and is classified as CANCELLED. Only Chat Completions streaming is currently claimed as verified; other streaming API families remain unverified.

Capability snapshots

lmstudio_export_capability_snapshot returns a versioned snapshot, its recursively key-sorted canonical JSON, and a lowercase SHA-256 digest. The hash covers the UTF-8 canonical snapshot only. Tokens, environment contents, home paths, model filesystem paths, and arbitrary raw API payloads are excluded. See the schema contract.

Mutation and privacy guarantees

  • Non-loopback URLs and credential-bearing URLs are rejected at startup.
  • Mutations require LMSTUDIO_MCP_ALLOW_MUTATIONS=true in the server process.
  • Loading never downloads; unloading requires one identifier and never uses --all.
  • CLI calls use spawn(executable, args) without a shell.
  • Errors and logs redact tokens, authorization values, API keys, passwords, and secrets.
  • No analytics, telemetry SDK, cloud inference, or remote destination is present.

Development

pnpm build
pnpm test:unit
pnpm test:mcp
pnpm test:integration   # live tests skip if LM Studio is unavailable
pnpm check

Tests cover configuration boundaries, redaction, mutation guards, protocol structured content, tool-call adversaries, streamed delta reconstruction, cancellation, snapshot canonicalization, and live endpoints. CI deliberately excludes environment-dependent live LM Studio assertions.

Troubleshooting

  • serverRunning: false: start LM Studio's local server and retain its loopback bind.
  • MODEL_REQUIRED: pass model or configure LMSTUDIO_DEFAULT_MODEL.
  • AUTH_REQUIRED: pass the local token through LMSTUDIO_API_TOKEN; do not put it in source or URLs.
  • CANCELLED: the MCP caller cancelled a long operation; the underlying request was aborted.
  • lms unavailable: set LMSTUDIO_LMS_PATH; API-only functions can still work.
  • A reasoning model may consume a small output budget before producing visible content; bounded tools report reasoning-only output separately.

Historical local verification reports are in docs/DIAGNOSTIC_REPORT.md and docs/V0.2_CAPABILITY_REPORT.md. They are evidence from one environment, not universal compatibility claims.

Contributing and security

See CONTRIBUTING.md, SECURITY.md, and CODE_OF_CONDUCT.md. The project is licensed under the MIT License.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured