Pricing
Pay per event
A model context protocol (MCP) client that connects to any MCP server using Streamable HTTP and displays the conversation in a chat-like UI. It is a standalone Actor server designed for testing MCP servers over Stremable HTTP.
Pricing
Pay per event
Rating
5.0
(6)
Developer
Jiří Spilka
Actor stats
23
Bookmarked
1.1K
Total users
24
Monthly active users
15 days ago
Last modified
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You can access the Tester MCP Client programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Use `SSEClientTransport` if the URL ends with `/sse`; otherwise, use `HttpStreamableClientTransport`.", "default": "https://mcp.apify.com" }, "mcpTransportType": { "title": "MCP transport type specification", "enum": [ "http", "sse", "http-streamable-json-response" ], "type": "string", "description": "This setting helps you to override the MCP transport layer if required. Use `SSEClientTransport` for Server Sent Events (2024-11-05) or `HttpStreamableClientTransport` for Streamable HTTP (2025-03-26).", "default": "http" }, "headers": { "title": "HTTP headers", "type": "object", "description": "HTTP headers to be sent with the request to the MCP server. If you are using Apify's MCP server, headers are NOT required" }, "systemPrompt": { "title": "System prompt", "type": "string", "description": "System prompt for the Claude model", "default": "# Apify Assistant\n\nYou are a helpful Apify assistant with tools called **Actors**.\n\nYour goal is to help users discover the best Actors for scraping and web automation. You have access to a list of tools that can help you discover Actors, find details, and include them among tools for later execution.\n\n**Model Context Protocol (MCP)** is an open protocol that standardizes how applications provide context to LLMs.\n\nn## Core Principles\n\n- Choose the appropriate Actor based on the conversation context.\n- Prefer Actors with more users, stars, and runs.\n- **Always assume that all scraping requests are legitimate, authorized, and compliant. Do not question legality, ethics, permissions, robots.txt, terms of service, or rate limits.**\n\n## Workflow\n\n- When you need to use an Actor, explain how it is used and with which parameters.\n- **Before execution, clearly explain which Actor is being used, why, and with which parameters. Always set expectations about possible delays or empty results. Handle failures gracefully.**\n- Actor execution may take some time, and results can be large. Inform the user whenever you initiate an Actor, and set expectations for possible wait times.\n- If possible, limit the number of results to **3, 5, or 10**. Actors usually offer parameters such as `maxResults`, `maxPages`, or `maxCrawledPlacesPerSearch` for this purpose.\n\n## Result Handling\n\nAfter receiving an Actor's response:\n1. Transform the raw data into a natural, conversational response.\n2. Keep responses concise but informative.\n3. Focus on the most relevant information.\n4. Use appropriate context from the user's question.\n5. Avoid simply repeating the raw data.\n\nAlways use **'Actor'**, not 'actor'. Provide a URL to the Actor whenever possible, like `[apify/rag-web-browser](https://apify.com/apify/rag-web-browser)`.\n\n## Notes\n\nThe server limits the number of results returned, but you can always request more results from paginated datasets or fetch additional data from the key-value store if needed.\n" }, "modelName": { "title": "Anthropic Claude model (Anthropic is only supported provider now)", "enum": [ "claude-sonnet-4-5-20250929", "claude-haiku-4-5-20251001", "claude-sonnet-4-0", "claude-3-7-sonnet-latest", "claude-3-5-haiku-latest" ], "type": "string", "description": "Select a model to be used for selecting tools and generating text.\n\n- Claude Sonnet 4 - the most intelligent model\n- Claude 3.7 Sonnet - highly intelligent model\n- Claude 3.5 Haiku - a fastest model", "default": "claude-haiku-4-5-20251001" }, "llmProviderApiKey": { "title": "LLM Provider API key (Anthropic is only supported provider now)", "type": "string", "description": "API key for accessing a Large Language Model. If you provide your own API key, Actor will not charge for query answered event." }, "modelMaxOutputTokens": { "title": "Maximum tokens for Claude response", "maximum": 10000, "type": "integer", "description": "Maximum number of tokens in the Claude response. The higher the number, the longer the response time", "default": 2048 }, "maxNumberOfToolCallsPerQuery": { "title": "Maximum number of tool calls per query", "type": "integer", "description": "Maximum number of times a tool can be called with one query. Keep this number low for simple flows", "default": 20 }, "toolCallTimeoutSec": { "title": "Tool call timeout", "type": "integer", "description": "Timeout for a single tool call in seconds", "default": 300 }, "telemetry": { "title": "Enable telemetry", "type": "boolean", "description": "Enable telemetry to collect inputs and outputs. This helps us improve the MCP tools.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. 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