{ "openapi": "3.0.1", "info": { "title": "Tester MCP Client", "description": "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.", "version": "0.1", "x-build-id": "IQ3GsGDwcre6IMg7K" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jiri.spilka~tester-mcp-client/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jiri.spilka-tester-mcp-client", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jiri.spilka~tester-mcp-client/runs": { "post": { "operationId": "runs-sync-jiri.spilka-tester-mcp-client", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jiri.spilka~tester-mcp-client/run-sync": { "post": { "operationId": "run-sync-jiri.spilka-tester-mcp-client", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mcpUrl", "modelName" ], "properties": { "mcpSseUrl": { "title": "MCP Server URL", "type": "string", "description": "MCP Server URL for receiving updates from the server." }, "mcpUrl": { "title": "MCP Server URL", "type": "string", "description": "URL of the MCP Server for updates. 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 } } } } } } } } } }