
WebArm24 MCP server
Which MCP servers are WebArm24's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-11-02
- Registry nameonline.webarm24/webarm24verified in the MCP registry
The registry name sits under webarm24.online. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-11-02
- Tools61
- Server calls itselfwebarm24
- Protocol version2025-06-18
On 2026-11-02 the server answered initialize and tools/list without a sign-in. First answer in 470 ms.
- Its tools do every use case we checked: draft a multi-step pipeline from a plain-language description; run and inspect pipelines from a coding agent via MCP.
- Checked on 3 of the 7 days it takes to judge reliability.
Once connected
- For "draft a multi-step pipeline from a plain-language description", the likely first call is pipeline_builder_chat.
- For "run and inspect pipelines from a coding agent via MCP", the likely first call is pipeline_list.
- send_email, pipeline_create, pipeline_update, pipeline_delete, schedule_create change data without a sign-in: anyone with the address can call them.
- Parameters are untyped or undescribed in 52 of 61 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
- What an agent can do with it2 of 2 use cases
- Answeredmeasuring3 of the 7 daily checks it takes to print a share
- Median first answer494 ms
- Space in an agent's context≈ 5,236 tokensthe definitions of all its tools (61), which an agent carries on every turn
- Tool definitionsC · 68 of 100
- Typed results0 of 61 toolsdeclared outputSchema: results come typed, read once
- No description an agent can choose by: 4 of 61
- Parameters without a type: in 1 of 61
- Parameters without a description: in 52 of 61
- Not saying whether it only reads or can destroy: 61 of 61
What an agent can do with it
- can do · draft a multi-step pipeline from a plain-language description
- not sure · start a pipeline run from an HTTP webhook
- can do · run and inspect pipelines from a coding agent via MCP
Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?
Worth a look
- Tools that change data, on a server that answers without a sign-in: send_email, pipeline_create, pipeline_update, pipeline_delete, schedule_create
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
browser_navigateOpen a URL in your private server-side browser session. `browser_session_label` loads a saved login (see browser_session_put) when the session is first created. Costs 1 mcp_call.
browser_screenshotScreenshot of the current page (JPEG). Costs 1 mcp_call.
browser_clickClick an element by visible text, label or CSS selector. Costs 1 mcp_call.
browser_click_atClick at pixel coordinates of the (resized) viewport. Costs 1 mcp_call.
browser_fillType a value into an input identified by label/placeholder/selector. Costs 1 mcp_call.
browser_extract_textExtract text from a described area of the page. Costs 1 mcp_call.
browser_scrollScroll 'up' or 'down'. Costs 1 mcp_call.
browser_get_htmlReturn the current page HTML. Costs 1 mcp_call.
browser_close_sessionClose your browser session (free). Idle sessions are closed after 30 minutes.
send_emailSend an email through the server SMTP (subject to server allowlists/limits). Costs 1 mcp_call.
analyze_jsonInspect large JSON: mode summary|schema|value|preview, optional dotted path. Costs 1 mcp_call.
pipeline_listList your pipelines.
pipeline_getGet one pipeline incl. steps, schedule and inbound trigger URL.
pipeline_createCreate a pipeline. See resource webarm://docs/pipeline-steps for the step schema. `extra` may carry webhook_url, webhook_secret, webhook_structured_data_only, inbound_trigger_only.
pipeline_updatePatch a pipeline. `fields` may contain any of: name, enabled, cron_expr, run_at (null clears), steps, task_variables, webhook_url, webhook_secret, clear_webhook_secret, webhook_structured_data_only, inbound_trigger_only…
pipeline_deleteDelete a pipeline and its schedule (restorable later via pipeline_deleted_restore).
pipeline_history_listChange history of a pipeline, newest first: [{id, seq, action (create|update|delete|restore), source (manual|assistant|mcp|api), source_detail, changed_fields, created_at, updated_at}]. Consecutive manual UI edits within a few minutes are…
pipeline_history_getOne revision: {revision, snapshot (full pipeline state after that change), diff (vs previous revision)}.
pipeline_history_restoreRestore a pipeline to the state of a revision (recorded as a new `restore` revision). Returns the pipeline.
pipeline_deleted_listDeleted pipelines that can be restored: [{pipeline_id, name, steps_count, deleted_at, source}].
pipeline_deleted_restoreRe-create a deleted pipeline from its last snapshot (same id, starts disabled, new inbound trigger URL).
pipeline_group_listList your sidebar pipeline groups, each with its pipeline_ids. Ungrouped pipelines are in no group.
pipeline_group_createCreate a sidebar group, optionally moving the given pipelines into it.
pipeline_group_updateRename a group and/or set whether it is collapsed in the sidebar.
pipeline_group_deleteDelete a group. Its pipelines are kept, just ungrouped.
pipeline_group_assignMove a pipeline into a group; omit group_id (or pass null) to remove it from its group.
pipeline_test_stepRun a single step in isolation. `previous_outputs[i]` feeds {{step_{i+1}_output}}.
pipeline_runStart a run (async; returns run_id). Costs the usual pipeline_run credits. Follow with pipeline_run_wait or pipeline_run_get.
pipeline_run_getRun status (running|cancelling|ok|error|cancelled), current_step_index, per-step results, answer_preview.
pipeline_run_waitBlock until the run finishes or timeout_sec (max 600) elapses; returns the latest run state (check `status` — still 'running' means timed out).
pipeline_runs_listRecent runs of a pipeline (max 50).
pipeline_run_cancelRequest cancellation of an active run (takes effect between steps).
pipeline_builder_chatAsk the built-in AI pipeline builder (costs builder_call credits). `messages`=[{role,content}], `pipeline`=current draft. Returns {text, pipeline}; the draft is NOT saved — pass it to pipeline_create/update.
pipeline_debug_chatAsk the AI to analyse a finished run (costs builder_call credits).
agent_job_submitRun the browsing agent on a task (async; costs agent_job credits). Jobs are in-memory (lost on restart).
agent_job_getJob status/result (queued|running|completed|failed).
agent_job_listRecent agent jobs.
schedule_listList automations (single-task schedules).
schedule_getAutomation details plus recent runs.
schedule_createCreate an automation. `schedule` follows ScheduleCreate: mode (agent|replay), task_text, target_url, webhook_url, cron_expr, run_at, lang, output_json_schema, task_variables, ...
schedule_updatePatch an automation (ScheduleUpdate fields).
schedule_deleteDelete an automation.
schedule_runRun an automation now (synchronous; costs schedule_run credits).
schedule_exportExport an automation as portable JSON.
schedule_importImport an exported automation.
storage_listList your JSON/text stores.
storage_readRead a store.
storage_writeWrite a store (mode 'auto' keeps JSON, 'text' stores a string).
storage_deleteDelete a store.
storage_files_listList stored files.
storage_file_putUpload a file (base64 content). Size caps: USER_FILES_FILE_MAX_BYTES / per-user total.
storage_file_getDownload a file as base64 (limited to 8 MiB of base64).
storage_file_deleteDelete a stored file.
browser_session_listList saved logins (Playwright storageState slots).
browser_session_getGet a saved storageState.
browser_session_putSave a Playwright storageState (stored encrypted).
browser_session_deleteDelete a saved login.
account_meYour account incl. credit balance.
credits_historyBalance and last 100 ledger entries.
credit_packsPurchasable credit packs.
The first 60 of 61, as the server listed them.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"webarm24": {
"type": "http",
"url": "https://webarm24.online/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http webarm24 https://webarm24.online/mcpclaude.ai, ChatGPT and other clients: add https://webarm24.online/mcp as a custom connector in the settings.
OpenAPI spec
81 paths, read 2026-11-02. Open the spec ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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