Crawler Summary

lovense-mcp answer-first brief

MCP server for controlling Lovense toys via the Lovense Cloud API lovense-mcp MCP server for controlling Lovense toys via the Lovense Cloud API. Runs on a home server, works from anywhere, lets your AI of choice take creative control. Built with TypeScript, Bun, Hono, and the MCP SDK. --- How it works **Why cloud and not LAN?** The Lovense Remote app is on your phone, outside your home network — not on the same LAN as your server. The Lovense Server API (cloud relay) is therefore m Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

lovense-mcp is best for general automation workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB MCP, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 89/100

lovense-mcp

MCP server for controlling Lovense toys via the Lovense Cloud API lovense-mcp MCP server for controlling Lovense toys via the Lovense Cloud API. Runs on a home server, works from anywhere, lets your AI of choice take creative control. Built with TypeScript, Bun, Hono, and the MCP SDK. --- How it works **Why cloud and not LAN?** The Lovense Remote app is on your phone, outside your home network — not on the same LAN as your server. The Lovense Server API (cloud relay) is therefore m

MCPself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 25, 2026

Vendor

Gradleless

Artifacts

0

Benchmarks

0

Last release

1.0.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Setup snapshot

git clone https://github.com/Gradleless/lovense-mcp.git
  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Gradleless

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP

contractmedium
Observed Feb 25, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Executable Examples

text

You (outside, Claude Desktop or any MCP client)
    ↕  HTTP/SSE — MCP transport
Your home server (NAS, VPS…)
    ↕  HTTPS — Lovense Server API
Lovense Cloud
    ↕  Push
Lovense Remote App (your phone, also outside)
    ↕  Bluetooth
Your toys

bash

git clone https://github.com/Gradleless/lovense-mcp
cd lovense-mcp
bun install

bash

cp env.example .env

bash

# Development (watch mode, pretty logs)
bun run dev

# Production
bun run start

text

Setup page: http://localhost:3000/setup?token=your_token

text

Output: { toys: [...], lastSeenAt: "ISO date or null" }

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

MCP server for controlling Lovense toys via the Lovense Cloud API lovense-mcp MCP server for controlling Lovense toys via the Lovense Cloud API. Runs on a home server, works from anywhere, lets your AI of choice take creative control. Built with TypeScript, Bun, Hono, and the MCP SDK. --- How it works **Why cloud and not LAN?** The Lovense Remote app is on your phone, outside your home network — not on the same LAN as your server. The Lovense Server API (cloud relay) is therefore m

Full README

lovense-mcp

MCP server for controlling Lovense toys via the Lovense Cloud API. Runs on a home server, works from anywhere, lets your AI of choice take creative control.

Built with TypeScript, Bun, Hono, and the MCP SDK.


How it works

You (outside, Claude Desktop or any MCP client)
    ↕  HTTP/SSE — MCP transport
Your home server (NAS, VPS…)
    ↕  HTTPS — Lovense Server API
Lovense Cloud
    ↕  Push
Lovense Remote App (your phone, also outside)
    ↕  Bluetooth
Your toys

Why cloud and not LAN? The Lovense Remote app is on your phone, outside your home network — not on the same LAN as your server. The Lovense Server API (cloud relay) is therefore mandatory. Architecture fun, life complicated.

Why HTTP/SSE and not stdio? stdio requires the MCP server and the AI client to run on the same machine. Here the server is remote — hence HTTP/SSE transport.


Prerequisites

  • Bun installed on your server
  • A Lovense developer account with a developer token
  • The Lovense Remote app on your phone, logged in
  • At least one Lovense toy (this one's on you)
  • Your server must be publicly reachable (port forwarding, reverse proxy, etc.) so Lovense Cloud can send callbacks to it

Setup

1. Lovense Developer Portal

Follow Lovense's official guide to:

  • Register an application
  • Get your developer token
  • Set the callback URL to https://your-server.example.com/callback

The callback URL is the part everyone forgets. Without it, your server never hears from Lovense and nothing works. Don't skip this.

2. Install

git clone https://github.com/Gradleless/lovense-mcp
cd lovense-mcp
bun install

3. Configure

cp env.example .env

See Configuration below for all variables.

4. Run

# Development (watch mode, pretty logs)
bun run dev

# Production
bun run start

The server logs the setup URL on startup:

Setup page: http://localhost:3000/setup?token=your_token

5. Pair your toys

Open the setup URL in a browser, scan the QR code with the Lovense Remote app. The app will call your /callback endpoint and register your toys. From this point on, the server receives periodic heartbeats (~every 10s) to track what's connected.

The QR code expires after 4 hours. Visit /setup again to get a new one.

6. Connect your MCP client

Point any MCP-compatible client (Claude Desktop, Cursor, Zed, etc.) at https://your-server/mcp.

Note: MCP OAuth authentication is not implemented yet. Handle auth at the reverse proxy level instead (IP allowlist, VPN, etc.).


MCP Tools

| Tool | Description | | --------------- | -------------------------------------------------------------- | | get_qr | Display the Lovense pairing QR code | | get_toys | List connected toys and connection status | | play_action | Single action: vibrate, rotate, thrust, etc. | | stroke_action | Stroke + Thrusting for stroker toys (Solace, etc.) | | play_preset | Built-in Lovense patterns (pulse, wave, fireworks, earthquake) | | play_pattern | Smooth intensity timeline with custom waypoints | | play_sequence | Multi-phase timed sequence (A then B then C, non-looping) | | stop | Emergency stop — halts everything immediately |

Your AI should always call get_toys first to check connectivity and see which actions each toy actually supports. You normally don't need to specify it. Sending a Rotate command to a toy that only vibrates ends in disappointment for everyone.


get_qr

Generates and displays the Lovense pairing QR code. Use this when get_toys returns no toys or lastSeenAt is null — the app isn't connected yet.

The user scans the QR code with the Lovense Remote app on their phone to establish the connection. After scanning, the server starts receiving heartbeats and toys become available.

No parameters. Returns the QR code as an image, plus a fallback URL if the image can't be displayed.

The QR code expires after 4 hours. Call get_qr again to get a fresh one.


get_toys

Returns the cached toy list from the last heartbeat. No API call to Lovense — just the server's in-memory state.

Output: { toys: [...], lastSeenAt: "ISO date or null" }

Each toy includes a features array listing its supported actions.

If lastSeenAt is null or more than 30 seconds old, the app is considered offline and any command will fail with a clear error message rather than silently doing nothing.


play_action

Single action for a given duration.

| Parameter | Type | Description | | ---------- | ------- | ---------------------------------------- | | type | string | Action type (see table below) | | strength | integer | Intensity (range depends on action) | | duration | number | Seconds. 0 = indefinite, otherwise ≥ 1 | | toyId | string? | Target a specific toy. Omit for all. |

Action types and ranges:

| Action | Range | Notes | | --------- | ----- | --------------------------------------- | | Vibrate | 0–20 | | | Rotate | 0–20 | | | Thrusting | 0–20 | | | Fingering | 0–20 | | | Suction | 0–20 | | | Oscillate | 0–20 | | | All | 0–20 | Applies to all functions simultaneously | | Pump | 0–3 | 3 levels only | | Depth | 0–3 | 3 levels only |


stroke_action

For stroker toys (Solace, etc.) that support the Stroke action. Only use if get_toys shows "Stroke" in the toy's features — otherwise you're just wishing.

| Parameter | Type | Description | | ------------------- | ------- | ---------------------------------------------- | | strokeMin | integer | Start position (0–100, 0 = fully retracted) | | strokeMax | integer | End position (0–100, must be ≥ strokeMin + 20) | | thrustingStrength | integer | Speed 0–20 | | duration | number | Seconds. 0 = indefinite, otherwise ≥ 1 | | toyId | string? | Target a specific toy. Omit for all. |

Amplitude guide: very light = 0–20, light = 0–30, medium = 0–50, strong = 0–80, max = 0–100.

For variable-intensity stroking patterns over time, use play_pattern_v2 instead.


play_preset

Plays a built-in Lovense pattern. Quick and easy when you don't want to think too hard.

| Parameter | Type | Description | | ---------- | ------- | --------------------------------------------- | | name | string | pulse / wave / fireworks / earthquake | | duration | number | Seconds. 0 = indefinite, otherwise ≥ 1 | | toyId | string? | Target a specific toy. Omit for all. |


play_pattern

The most expressive tool. Defines a smooth intensity timeline — the Lovense app handles all timing internally. The server sends the points and gets out of the way.

| Parameter | Type | Description | | --------- | ------- | -------------------------------------------------------------- | | actions | array | Timeline of { ts, pos } waypoints, ordered by ascending ts | | toyId | string? | Target a specific toy. Omit for all. |

  • ts: timestamp in milliseconds from start (max 7,200,000 = 2h)
  • pos: intensity 0–100 (0 = off, 50 = medium, 100 = max)

The app interpolates smoothly between consecutive points — they are waypoints, not discrete jumps. {ts:0, pos:0}{ts:5000, pos:100} produces a gradual ramp over 5s automatically.

For sharp transitions, place two points ~100ms apart.

Always end with pos: 0 — the toy will otherwise hold the last position indefinitely. The API won't stop it on its own. You've been warned.

Examples:

// Ramp up over 10s, then stop
[
  { ts: 0, pos: 0 },
  { ts: 10000, pos: 100 },
  { ts: 10100, pos: 0 },
][
  // Slow wave, 3 cycles of 4s
  ({ ts: 0, pos: 0 },
  { ts: 2000, pos: 100 },
  { ts: 4000, pos: 0 },
  { ts: 6000, pos: 100 },
  { ts: 8000, pos: 0 },
  { ts: 10000, pos: 100 },
  { ts: 12000, pos: 0 })
][
  // 5s strong, 10s pause, 30s medium, stop
  ({ ts: 0, pos: 80 },
  { ts: 5000, pos: 0 },
  { ts: 15000, pos: 50 },
  { ts: 45000, pos: 0 })
];

play_sequence

Executes a timed multi-phase sequence of steps. Returns immediately — scheduling runs server-side. Use this (not play_pattern) when:

  • Phases don't loop (A then B then C, done)
  • You switch feature types between phases (e.g. Vibrate 10s → Thrusting 10s)
  • You need multiple features at independent strengths simultaneously (e.g. Vibrate:15 + Rotate:8)

Each step has a duration (seconds) and either "Stop" or an array of simultaneous actions.

| Parameter | Type | Description | | --------- | ------- | --------------------------------------------- | | steps | array | Ordered list of { duration, actions } steps | | toyId | string? | Target a specific toy. Omit for all. |

Returns { sequenceId, totalDuration }. Calling stop cancels any running sequence automatically.

Examples:

// Strong 5s → max 10s → pause 30s → medium 30s
[
  { duration: 5,  actions: [{ type: "Vibrate", strength: 16 }] },
  { duration: 10, actions: [{ type: "Vibrate", strength: 20 }] },
  { duration: 30, actions: "Stop" },
  { duration: 30, actions: [{ type: "Vibrate", strength: 10 }] },
]

// Vibrate + Rotate simultaneously at different strengths
[{ duration: 10, actions: [{ type: "Vibrate", strength: 15 }, { type: "Rotate", strength: 8 }] }]

// Vibrate phase then switch to Thrusting
[
  { duration: 20, actions: [{ type: "Vibrate",  strength: 13 }] },
  { duration: 20, actions: [{ type: "Thrusting", strength: 10 }] },
]

// Medium-amplitude thrust (Stroke toy): Stroke must always be paired with Thrusting
[{ duration: 10, actions: [{ type: "Stroke", min: 0, max: 50 }, { type: "Thrusting", strength: 10 }] }]

stop

Stops everything immediately. Sends both a Function stop and a PatternV2 stop in parallel, because when you want it to stop, you want it to stop.

| Parameter | Type | Description | | --------- | ------- | ------------------------------------ | | toyId | string? | Target a specific toy. Omit for all. |


Intensity reference

| Description | 0–20 | 0–3 | 0–100 | | ------------- | ---- | --- | ----- | | Very light | 3 | 1 | 15 | | Light | 6 | 1 | 30 | | Medium | 10 | 2 | 50 | | Fairly strong | 13 | 2 | 65 | | Strong | 16 | 3 | 80 | | Max | 20 | 3 | 100 |


Configuration

| Variable | Required | Default | Description | | ---------------- | -------- | ------------ | ------------------------------------------------------- | | LOVENSE_TOKEN | ✓ | — | Developer token from the Lovense portal | | LOVENSE_UID | ✓ | — | User identifier for your app | | LOVENSE_UNAME | ✓ | — | Display name shown in Lovense Remote | | LOVENSE_UTOKEN | ✓ | — | Arbitrary user token (any string you choose) | | SETUP_TOKEN | ✓ | — | Protects the /setup page | | MCP_PORT | | 3000 | Port the server listens on | | NODE_ENV | | production | development enables pretty logs and debug level | | LOG_LEVEL | | info | trace / debug / info / warn / error / fatal |

Tokens are never logged. Not even by accident.


HTTP endpoints

| Endpoint | Description | | ---------------------- | -------------------------------------- | | GET /mcp | MCP transport (used by your AI client) | | POST /callback | Lovense heartbeat receiver | | GET /setup?token=xxx | QR code setup page | | GET /health | Health check → { ok: true } |


Development

bun run dev        # watch mode, pretty logs, NODE_ENV=development
bun run start      # production
bun run typecheck  # type check only

Set LOG_LEVEL=debug to see full request/response bodies and AppState dumps. LOG_LEVEL=trace for internals.


Testing status

Honestly tested with actual hardware:

| Feature | Status | | ---------------------------------------------- | --------------------------------- | | play_action → Vibrate | ✅ Works | | play_pattern, play_sequence, play_preset | ✅ Works (vibration tested only) | | get_toys, stop, get_qr | ✅ Works | | play_action → Rotate, Pump, Thrusting, etc. | 🟡 Implemented per spec, untested | | stroke_action | 🟡 Implemented per spec, untested |

The untested tools are implemented exactly according to the Lovense Server API docs and should work fine. I just don't own the entire Lovense catalog — I'm doing my best here, I assure you. PRs with real-world test reports are genuinely welcome.


License

MIT

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB MCP

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

Rank

74

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-actix-web

Rank

72

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T00:04:37.774Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Gradleless",
    "href": "https://github.com/Gradleless/lovense-mcp",
    "sourceUrl": "https://github.com/Gradleless/lovense-mcp",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:57:54.052Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:57:54.052Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-gradleless-lovense-mcp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to lovense-mcp and adjacent AI workflows.