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io.github.Wopee-io/wopee-mcp

NPM · WOPEE-MCP · SCANNED SEP 20

AI testing agents for web apps — dispatch test runs, crawls, fetch artifacts and status.

Available components

−1 this week 81 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 31 of 97 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability82
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 2915 tokens (~194/item across 15 items; 15 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management80
  • Stability observed for 24 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "wopee_send_chat_message" implies "send" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 15 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the io.github.Wopee-io/wopee-mcp server?

io.github.Wopee-io/wopee-mcp runs locally as an npm package, launched with npx -y wopee-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · wopee-mcp

# add to Claude Code
claude mcp add wopee-io-wopee-mcp -- npx -y wopee-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "wopee-io-wopee-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "wopee-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "wopee-io-wopee-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "wopee-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add wopee-io-wopee-mcp -- npx -y wopee-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "wopee-io-wopee-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "wopee-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add wopee-io-wopee-mcp --command npx --arg -y --arg wopee-mcp
# ~/.hermes/config.yaml
mcp_servers:
  wopee-io-wopee-mcp:
    command: "npx"
    args: ["-y", "wopee-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "wopee-io-wopee-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "wopee-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add wopee-io-wopee-mcp -t stdio -c npx -a -y wopee-mcp
// mcp.json
{
  "mcpServers": {
    "wopee-io-wopee-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "wopee-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 18 Sept 26 +1
    • Stability: 0.97 → pass security
    • Security disclosure: unverified → fail functional
  • 17 Sept 26 −1
    • Security disclosure: fail → unverified functional
    • Stability: pass → 0.97 functional
  • 16 Sept 26 +1
    • Stability: 0.97 → pass security
  • 14 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

  • 13 Sept 26 0
    • Security disclosure: unverified → fail functional
  • 12 Sept 26 +16
    • Malware scan: unverified → pass security
  • 11 Sept 26 −15
    • Malware scan: pass → unverified security
    • Security disclosure: fail → unverified functional
    • Package version: 1.30.0 → 1.30.1 functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed npm/wopee-mcp@1.30.1

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Dependencies 97 packages
Packages resolved 97
Stale 31
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 15 exposed · ~2,915 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
wopee_create_blank_suite ~149

Create a new empty analysis suite in the current project. Use this as the first step when you want to manually build a test suite — the returned suite UUID is needed by wopee_generate_artifact, wopee_fetch_artifact, wopee_update_artifact, and wopee_dispatch_agent. If you want to auto-analyze a web app instead, use wopee_dispatch_analysis which creates and populates a suite in one step. Takes no input parameters; uses WOPEE_PROJECT_UUID from environment. Not idempotent: each call creates a new suite. Returns the suite object with UUID, name, type, and status. Fails if WOPEE_PROJECT_UUID is not configured.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

wopee_create_github_issue ~136

Create a new GitHub issue in the project's connected repository. Use this to report bugs found during testing, track test failures, or create action items from chat discussions. The issue will be created in the GitHub repository linked to the current project. Requires the project to have GitHub integration configured and WOPEE_PROJECT_UUID to be set.

NameTypeReqDescription
bodystringyesThe body/description of the GitHub issue (supports Markdown)
labelsarrayOptional labels to apply to the issue (e.g., ['bug', 'testing'])
titlestringyesThe title of the GitHub issue

No output schema declared.

No examples provided.

wopee_dispatch_agent ~186

Dispatch an autonomous AI agent to execute specific test cases. The agent opens a real browser, navigates the app, follows test steps, and reports results. Tests run ASYNCHRONOUSLY (1-3 minutes). This tool returns tracking info confirming dispatch — NOT final results. Do NOT interpret the response as pass/fail. Results arrive later via chat notifications. Prerequisite: test cases must exist in the suite (generate with wopee_generate_artifact type USER_STORIES_WITH_TEST_CASES). Use wopee_fetch_recent_executions or wopee_fetch_executed_test_cases to check status later.

NameTypeReqDescription
analysisIdentifierstringyesAnalysis identifier of the suite to dispatch the agent for
suiteUuidstringyesUUID of the suite to dispatch the agent for
testCasesarrayyesChosen test cases to dispatch the agent for

No output schema declared.

No examples provided.

wopee_dispatch_analysis ~256

Create a new analysis suite AND dispatch an AI crawling agent in one step. The agent opens a real browser, navigates from the starting URL, discovers pages, and maps the application structure. Use this when you want to auto-analyze a web app — it combines suite creation and crawling. Use wopee_create_blank_suite instead if you want to manually populate the suite. Optionally accepts starting URL, login credentials, cookie preferences (ACCEPT_ALL, DECLINE_ALL, IGNORE), custom variables, and free-text instructions to guide the crawl. Not idempotent: each call creates a new suite and starts a new crawl. Side effects: creates a suite and execution records on the platform. Rate limit: 10 seconds between dispatches per project; concurrent calls auto-retry with exponential backoff. Returns the created suite object on success.

NameTypeReqDescription
additionalInstructionsstring|nullAdditional instructions for the agent
additionalVariablesAdditional environment variables for the analysis. Each variable needs a key (uppercase, e.g. BASE_URL) and a non-empty value.
rerunIf provided, reruns an existing analysis suite instead of creating a new one. Requires suiteUuid, analysisIdentifier, and mode.

No output schema declared.

No examples provided.

wopee_fetch_analysis_suites ~142

List all analysis suites in the current project. Returns an array of suite objects with UUIDs, names, types (ANALYSIS, AGENT, etc.), and running statuses (IDLE, IN_PROGRESS, FINISHED). Use this to discover existing suites before calling other tools — you need a suite UUID for wopee_generate_artifact, wopee_fetch_artifact, wopee_update_artifact, and wopee_dispatch_agent. Read-only: does not create or modify anything. Takes no input; uses WOPEE_PROJECT_UUID from environment. Returns an empty array if no suites exist. Fails if WOPEE_PROJECT_UUID is not configured.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

wopee_fetch_artifact ~250

Retrieve a specific test artifact from a suite. Returns the artifact content as text. Use this to review what wopee_generate_artifact created, or to retrieve existing artifacts before editing with wopee_update_artifact. Does NOT modify any data — this is a read-only operation. If the requested artifact type has not been generated yet for this suite, returns an empty result. For PLAYWRIGHT_CODE, you must provide the test case identifier (e.g. 'US004:TC006'); omitting it returns an error. For all other types, the identifier parameter is ignored.

NameTypeReqDescription
identifierstringTest case identifier in format 'US004:TC006'. Required only when type is PLAYWRIGHT_CODE. Ignored for all other artifact types.
suiteUuidstringyesUUID of the analysis suite to fetch artifacts from. Get this from wopee_fetch_analysis_suites.
typestringyesType of test artifact to retrieve. One of: APP_CONTEXT (application description), GENERAL_USER_STORIES (stories without test cases), USER_STORIES (stories with test cases), PLAYWRIGHT_CODE (generated…

No output schema declared.

No examples provided.

wopee_fetch_executed_test_cases ~201

Retrieve results of test cases executed by the autonomous agent. Returns each test case with its execution status (IN_PROGRESS, FINISHED, FAILED), agent report (natural language findings), and code report (technical details). Read-only: does not trigger any execution. Use this after wopee_dispatch_agent to check results — if status is IN_PROGRESS, wait and call again. Requires suite UUID. Optionally accepts an analysis identifier (e.g. A068, found in suite data) to filter to a specific analysis run. Returns an empty array if no test cases have been executed in this suite. Do NOT use this to fetch test artifacts like user stories or code — use wopee_fetch_artifact for that.

NameTypeReqDescription
analysisIdentifierstringAnalysis identifier of the suite (ex. A068). Can be found in the analysis suite data.
suiteUuidstringyesUUID of the analysis suite to fetch executed test cases for

No output schema declared.

No examples provided.

wopee_fetch_recent_executions ~165

Fetch the most recent test case executions for the current project (up to 20, newest first). Use this to check the status of recently dispatched tests without needing to remember specific suite UUIDs. Returns each run's verdict (PASSED, FAILED, or INCOMPLETE — the run never established a result, e.g. an infrastructure error, and says nothing about the application) or, for a run with no verdict yet, its execution status (IN_QUEUE, IN_PROGRESS, FINISHED, FAILED, STOPPED), plus agent reports. Takes no input; uses WOPEE_PROJECT_UUID from environment. Prefer this tool when the user asks 'what's the status?' or 'how did the tests go?' and you don't have the specific suite UUID handy.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

wopee_fetch_test_inventory ~268

The authoritative tool for how many tests exist and their latest status. Returns, per analysis, the FULL list of authored test cases joined with their latest execution status — including never-run ones as NOT_RUN. Use this for questions like 'how many tests do I have', 'list the scenarios/test cases in A001', or 'show executed and not-run tests in one table'. Terminology: a 'scenario' is a test case; test cases are grouped under user stories (US001) and identified as US001:TC001. Reusable blocks (user story R001) are counted separately (reusableBlockCount) and are building blocks, not runnable, so they never carry an execution status. Regular tests are all non-R001 test cases. Read-only. Takes an optional analysisIdentifier (e.g. A001) to scope to one analysis; omit to cover every analysis in the project. Prefer this over wopee_fetch_recent_executions / wopee_fetch_executed_test_cases when the user asks about totals or the complete list — those return only test cases that have already run.

NameTypeReqDescription
analysisIdentifierstringOptional analysis identifier (e.g. A001) to scope the inventory to a single analysis. Omit to include every analysis in the project.

No output schema declared.

No examples provided.

wopee_fetch_variables ~178

Read the run-time variables (additionalVariables) that drive analysis/agent runs, at either level. level: PROJECT returns the project-level variables (uses WOPEE_PROJECT_UUID from the environment); level: ANALYSIS returns a specific analysis suite's variables and requires suiteUuid. Read-only. Returns a JSON string array of { key, value, sourceType } entries, or [] when none are set. Use wopee_fetch_analysis_suites to discover suite UUIDs.

NameTypeReqDescription
levelstringyesWhich variable set to read. PROJECT reads the project-level variables (uses WOPEE_PROJECT_UUID from the environment). ANALYSIS reads a specific analysis suite's variables and requires suiteUuid.
suiteUuidstring|nullUUID of the analysis suite to read variables from. Required when level is ANALYSIS; ignored when level is PROJECT.

No output schema declared.

No examples provided.

wopee_generate_artifact ~231

Generate AI-powered test artifacts for a suite using the Wopee.io AI engine. Each call creates one artifact type — call multiple times for different types. Generation order matters: APP_CONTEXT must be generated before user stories, and user stories before test cases. If called out of order, the AI may produce lower quality results. On success, returns confirmation that generation started. Use wopee_fetch_artifact to retrieve the generated content once ready. Do NOT use this to update existing artifacts — use wopee_update_artifact instead. Generating the same type again overwrites the previous version.

NameTypeReqDescription
suiteUuidstringyesUUID of the analysis suite to generate artifacts for. Get this from wopee_create_blank_suite or wopee_fetch_analysis_suites.
typestringyesType of test artifact to generate. One of: APP_CONTEXT, GENERAL_USER_STORIES, USER_STORIES_WITH_TEST_CASES, TEST_CASES, TEST_CASE_STEPS, REUSABLE_TEST_CASES, REUSABLE_TEST_CASE_STEPS. Start with APP_…

No output schema declared.

No examples provided.

wopee_read_chat_history ~83

Read recent messages from the current project's chat room. Returns the last N messages in chronological order, including sender info and timestamps. Use this to understand the conversation context or review what has been discussed. Requires WOPEE_PROJECT_UUID to be configured.

NameTypeReqDescription
limitintegerNumber of recent messages to fetch (default: 20, max: 100)

No output schema declared.

No examples provided.

wopee_send_chat_message ~109

Send a message to the current project's chat room. Use this to post status updates (e.g., 'Test run started...', 'Analysis complete') or informational messages to the chat. The message will appear as a SYSTEM message in the chat room. Requires WOPEE_PROJECT_UUID to be configured.

NameTypeReqDescription
contentstringyesThe message content to send to the chat room
contentTypestringThe type of message: TEXT for regular messages, STATUS_UPDATE for status notifications

No output schema declared.

No examples provided.

wopee_update_artifact ~326

Create or overwrite a test artifact in a suite with caller-supplied content. The full content is replaced, not patched. Use this to upload your own APP_CONTEXT (e.g. built from JIRA / Confluence), user stories, project context, or Playwright code, or to fix / refine an artifact previously authored by wopee_generate_artifact. Works on any suite, including freshly-created blank suites with no prior generation — the artifact does not need to exist beforehand. Use wopee_generate_artifact instead when you want the Wopee.io AI engine to author the content from scratch. On success, returns confirmation. On failure (e.g. invalid suite UUID, storage misconfiguration), returns an error message. Idempotent: calling with the same content multiple times produces the same result.

NameTypeReqDescription
contentstringyesThe complete new content to replace the existing artifact. This is a destructive overwrite — the entire previous content is replaced. Pass the full updated content, not a partial diff.
identifierstringTest case identifier in format 'US004:TC006'. Required only when type is PLAYWRIGHT_CODE. Ignored for all other artifact types.
suiteUuidstringyesUUID of the analysis suite containing the artifact to update. Get this from wopee_fetch_analysis_suites.
typestringyesType of test artifact to update. One of: APP_CONTEXT, GENERAL_USER_STORIES, USER_STORIES, PLAYWRIGHT_CODE (requires identifier), PROJECT_CONTEXT. Must match the type used when the artifact was genera…

No output schema declared.

No examples provided.

wopee_update_variables ~235

Upsert the run-time variables (additionalVariables) that drive analysis/agent runs, at either level. level: PROJECT writes the project-level variables (uses WOPEE_PROJECT_UUID from the environment); level: ANALYSIS writes a specific analysis suite's variables and requires suiteUuid. Merge semantics: keys in variables[] are added or overwritten, existing keys not listed are preserved. Keys must be uppercase (e.g. BASE_URL); the server re-sanitizes and drops invalid keys. Returns a confirmation on success.

NameTypeReqDescription
levelstringyesWhich variable set to write. PROJECT writes the project-level variables (uses WOPEE_PROJECT_UUID from the environment). ANALYSIS writes a specific analysis suite's variables and requires suiteUuid.
suiteUuidstring|nullUUID of the analysis suite to write variables to. Required when level is ANALYSIS; ignored when level is PROJECT.
variablesarrayyesVariables to upsert. Each needs an uppercase key (e.g. BASE_URL) and a non-empty value. Merge semantics: keys listed here are added or overwritten; existing keys not listed here are preserved.

No output schema declared.

No examples provided.

Common questions

What is the io.github.Wopee-io/wopee-mcp server?

io.github.Wopee-io/wopee-mcp is listed in the public MCP registry as io.github.Wopee-io/wopee-mcp. AI testing agents for web apps, dispatch test runs, crawls, fetch artifacts and status. This page covers its npm package (wopee-mcp).

Is the io.github.Wopee-io/wopee-mcp server safe to use?

io.github.Wopee-io/wopee-mcp scores 81 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.Wopee-io/wopee-mcp server expose?

io.github.Wopee-io/wopee-mcp exposes 15 tools: wopee_create_blank_suite, wopee_fetch_analysis_suites, wopee_fetch_executed_test_cases, wopee_fetch_recent_executions, wopee_fetch_test_inventory, and 10 more. Their descriptions and schemas cost roughly 2,915 tokens of context every time the server is loaded.

Is the io.github.Wopee-io/wopee-mcp server still maintained?

io.github.Wopee-io/wopee-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.Wopee-io/wopee-mcp server under?

io.github.Wopee-io/wopee-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.