웹사이트에서 수행하는 작업을 기록하세요. 영구적으로 안전하게 자동화할 수 있습니다.
사전 출시 소프트웨어. Purroxy는 현재 활발히 개발 중입니다. 기능이 불완전하거나 업데이트 시 작동하지 않을 수 있으며, 어떠한 보증도 제공되지 않습니다. 문제가 발생하거나 피드백이 있으시면 GitHub에 이슈를 열어주세요.
Purroxy는 Claude에게 귀하의 로그인 정보가 필요한 웹사이트에 대한 안전한 액세스 권한을 제공합니다. Purroxy의 내장 브라우저에서 사이트를 탐색하면, 귀하가 수행하는 모든 작업이 기능(capability)으로 기록됩니다. 런타임 시 Purroxy는 해당 단계를 그대로 재현합니다. 귀하의 자격 증명은 귀하의 컴퓨터를 절대 벗어나지 않습니다.
최신 릴리스 — macOS, Windows, Linux.
Related MCP server: Self-hosted MCP server for Claude
한 번 로그인 — URL을 입력하고 보안 내장 브라우저를 통해 로그인하세요. 자격 증명은 AI에 전달되지 않습니다.
수행할 작업 기록 — 사이트를 탐색하세요. 모든 클릭, 검색, 탐색 작업이 매개변수를 포함한 재사용 가능한 기능으로 기록됩니다.
Claude에게 요청 — Claude가 기록된 단계를 재현하고, 변수 입력을 채우며, 결과를 추출합니다. 비밀번호는 절대 저장되거나 공유되지 않습니다.
제로 지식 로그인 — Purroxy는 비밀번호를 보지 않으며, 세션 쿠키만 확인합니다.
암호화된 볼트 — 민감한 데이터는 OS 키체인에 저장되며, Purroxy가 양식에 입력할 뿐 Claude에게 전송되지 않습니다.
데이터 스크러빙 — Claude가 페이지 콘텐츠를 보기 전에 볼트 값이 제거됩니다.
로컬 추출 — 데이터는 귀하의 컴퓨터에서 추출되며, 민감한 결과는 삭제(redacted)됩니다.
Purroxy는 MCP를 통해 Claude Desktop에 연결됩니다. 설정에서 클릭 한 번으로 설정할 수 있습니다. 귀하의 기능은 Claude가 호출할 수 있는 도구가 됩니다.
사전 출시 기간 동안은 무료입니다. 초기 계정은 유료 플랜 출시 시($3.89/월) 혜택이 유지됩니다. 또는 커뮤니티 라이브러리에 기능을 기여하고 Purroxy를 영원히 무료로 사용하세요.
npm install
npm run dev # Vite dev server + Electron
npm test # Run tests
npm run package # Build distributable백엔드 (Cloudflare Worker):
cd backend
npm install
npm test # Run backend tests
npm run dev # Local dev server
npm run deploy # Deploy to CloudflareApache 2.0
List all browser automation capabilities recorded in Purroxy. Returns each capability's name, description, target website, and required parameters. Call this first to discover what automations are available before executing one with purroxy_run_capability. Requires the Purroxy desktop app to be running.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: it's a read operation (implied by 'List'), specifies the return format (capability details), and states a prerequisite (Purroxy app must be running). However, it doesn't mention potential limitations like rate limits, error handling, or data freshness, leaving some behavioral aspects uncovered.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized and front-loaded: it starts with the core purpose, then details the return data, usage context, and prerequisite in three concise sentences. Every sentence adds essential information without redundancy, making it highly efficient and well-structured for quick comprehension.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (0 parameters, no output schema, no annotations), the description is largely complete: it covers purpose, usage, return data, and prerequisites. However, without an output schema, it could benefit from more detail on the return structure (e.g., format, pagination), but the mention of specific fields mitigates this gap adequately for this simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so the baseline is 4 as per the rules for zero parameters. The description doesn't need to add parameter semantics, but it does mention 'required parameters' as part of the return data, which aligns with the schema's lack of inputs. No additional value is needed or provided beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with specific verbs ('List all browser automation capabilities') and resources ('recorded in Purroxy'), and distinguishes it from sibling tools by mentioning its role in discovery before using purroxy_run_capability. It explicitly names the returned fields (name, description, target website, required parameters), making the purpose highly specific and differentiated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit usage guidelines: it states when to use this tool ('Call this first to discover what automations are available before executing one with purroxy_run_capability'), names the alternative tool (purroxy_run_capability), and includes prerequisites ('Requires the Purroxy desktop app to be running'). This gives clear context and exclusions for effective tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Execute a recorded browser automation capability by name. Purroxy replays the recorded actions in a headless browser with saved session credentials, then extracts and returns structured data from the resulting page. Call purroxy_list_capabilities first to discover available capability names and their parameters. Requires the Purroxy desktop app to be running.
| Name | Required | Description | Default |
|---|---|---|---|
| capability_name | Yes | The name of the capability to execute, exactly as returned by purroxy_list_capabilities. | |
| parameters | No | Input parameters for the capability as key-value string pairs. Check purroxy_list_capabilities to see which parameters each capability accepts and which are required. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: it's a mutation tool (executes actions), requires external dependencies (Purroxy desktop app), involves automation (replays recorded actions in headless browser), uses saved credentials, and returns structured data. However, it doesn't mention potential side effects, error handling, or performance characteristics like timeouts.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the core purpose in the first sentence, followed by essential context in subsequent sentences. Every sentence earns its place: the first defines the action, the second explains the mechanism, the third provides usage guidance, and the fourth states prerequisites. No wasted words, and the structure flows logically from what to how to when.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (automation execution with dependencies), no annotations, and no output schema, the description does well by covering purpose, usage, and prerequisites. However, it lacks details on return values (only mentions 'structured data' vaguely) and doesn't address potential failures or limitations. For a tool with no output schema, more clarity on results would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters thoroughly. The description adds value by explaining that capability_name must match exactly from purroxy_list_capabilities and that parameters are key-value string pairs, reinforcing the schema. It doesn't provide additional syntax or format details beyond the schema, but the context is helpful.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Execute a recorded browser automation capability by name'), the resource ('recorded browser automation capability'), and the mechanism ('Purroxy replays the recorded actions in a headless browser with saved session credentials, then extracts and returns structured data'). It distinguishes from sibling tools by specifying this is for execution, while purroxy_list_capabilities is for discovery and purroxy_status likely for monitoring.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use this tool ('Call purroxy_list_capabilities first to discover available capability names and their parameters') and provides prerequisites ('Requires the Purroxy desktop app to be running'). It clearly differentiates from alternatives by indicating the discovery tool must be called first, establishing a clear workflow.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Check whether the Purroxy desktop app is running and reachable. Returns the connection status and the number of available capabilities. Use this to verify Purroxy is ready before attempting to run automations.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses that the tool returns 'connection status and the number of available capabilities,' which adds useful behavioral context. However, it lacks details on error handling, latency, or authentication needs, leaving some gaps in transparency for a status-checking tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences that are front-loaded with the core purpose and followed by usage guidance. Every sentence adds value without redundancy, making it efficient and well-structured for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (0 parameters, no output schema, no annotations), the description is complete enough for a status-checking tool. It explains what the tool does, when to use it, and what it returns. However, without an output schema, it could benefit from more detail on return values (e.g., specific status codes), but this is a minor gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately does not discuss parameters, focusing instead on the tool's purpose and usage. This meets the baseline for tools with no parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Check whether the Purroxy desktop app is running and reachable') and the resource (Purroxy desktop app). It distinguishes from siblings by focusing on status verification rather than listing or running capabilities, making the purpose explicit and differentiated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit guidance on when to use this tool ('Use this to verify Purroxy is ready before attempting to run automations'), which directly contrasts with the sibling tools (purroxy_list_capabilities, purroxy_run_capability) that are for listing and executing capabilities. This gives clear context and alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
purroxy_list_capabilitiespurroxy_run_capabilitypurroxy_statusScored across 3 tools
Each tool has a clearly distinct purpose: list_capabilities for discovery, run_capability for execution, and status for health checking. There is no overlap in functionality, making it easy for an agent to select the right tool for each task without confusion.
All tools follow a consistent verb_noun pattern with the prefix 'purroxy_' (e.g., purroxy_list_capabilities, purroxy_run_capability, purroxy_status). This predictable naming scheme enhances readability and usability across the tool set.
With only 3 tools, the set feels thin for a browser automation server, potentially lacking operations like managing capabilities (e.g., create, update, delete) or handling errors. However, it covers basic discovery, execution, and status checks, which is borderline but functional for its stated purpose.
The tools provide core functionality for listing and running capabilities, with a status check, but there are notable gaps: no tools for creating, updating, or deleting capabilities, and no error handling or session management tools. This limits the server's ability to fully manage browser automations, though basic workflows are supported.
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GA4, Google Ads and Search Console in Claude. Read-only OAuth, multi-account for agencies.
Give Claude only the Google Drive files you choose. Every action logged.
