# API Doc Mcp (`wuyuwen0/api-doc-mcp`) Actor MCP server that scrapes any documentation website and makes it searchable for AI assistants. Configure URLs, then search docs, find code examples, and look up API references directly from Claude. - **URL**: https://apify.com/wuyuwen0/api-doc-mcp.md - **Developed by:** [James WU](https://apify.com/wuyuwen0) (community) - **Categories:** AI, Developer tools, MCP servers - **Stats:** 3 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Documentation MCP Server An MCP server that provides AI assistants with searchable access to any documentation you configure. Simply provide the URLs you want scraped, and your AI assistant can search, browse, and retrieve documentation content. ### What It Does This Actor scrapes documentation websites and makes them available to AI assistants (like Claude) through the Model Context Protocol (MCP). Your AI can then: - Search through all your documentation - Get full content of specific pages - Find code examples - Look up API references ### Available Tools | Tool | Description | |------|-------------| | `list_available_docs` | List all documentation pages | | `search_docs` | Search documentation with ranked results | | `get_docs_by_id` | Get full content of a specific page | | `get_api_reference` | Look up API reference for functions/classes | | `get_code_example` | Find code examples for features | ### How to Use #### 1. Configure Your Documentation Sources When running the Actor, provide: | Input | Description | Default | |-------|-------------|---------| | **Start URLs** | Documentation pages to scrape | Apify SDK docs | | **Max Pages** | Maximum pages to scrape (1-1000) | 100 | Example input: ```json { "startUrls": [ { "url": "https://docs.example.com/getting-started" }, { "url": "https://docs.example.com/api-reference" } ], "maxPages": 200 } ```` The Actor will automatically crawl all pages under those URLs. #### 2. Run the Actor Run the Actor with your configured documentation URLs. Once it finishes scraping, check the **Output tab** for: - **MCP Server URL** - Your unique endpoint - **Claude CLI Command** - Ready-to-copy command to add the MCP server #### 3. Connect to Claude Code Copy the command from the Output tab, which looks like: ```bash claude mcp add api-docs https:///mcp --transport http --header "Authorization: Bearer " ``` Replace `` with your API token from: https://console.apify.com/account/integrations #### 4. Use It Once connected, your AI assistant can search and retrieve documentation. Try asking things like: - "What documentation pages are available?" - "Search the docs for authentication" - "Show me code examples for the crawler" ### Example Configurations #### Next.js Documentation ```json { "startUrls": [{ "url": "https://nextjs.org/docs" }], "maxPages": 200 } ``` #### Multiple Documentation Sites ```json { "startUrls": [ { "url": "https://docs.python.org/3/" }, { "url": "https://numpy.org/doc/" } ], "maxPages": 500 } ``` ### Refreshing Documentation To update the cached documentation, send a POST request to `/refresh-docs` on the Actor's URL. ### Pricing This Actor uses pay-per-event pricing. You're charged for each tool call made by your AI assistant. # Actor input Schema ## `startUrls` (type: `array`): List of documentation URLs to start scraping from ## `maxPages` (type: `integer`): Maximum number of pages to scrape ## Actor input object example ```json { "startUrls": [ { "url": "https://docs.apify.com/sdk/js/docs" }, { "url": "https://docs.apify.com/sdk/js/reference" } ], "maxPages": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://docs.apify.com/sdk/js/docs" }, { "url": "https://docs.apify.com/sdk/js/reference" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("wuyuwen0/api-doc-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [ { "url": "https://docs.apify.com/sdk/js/docs" }, { "url": "https://docs.apify.com/sdk/js/reference" }, ] } # Run the Actor and wait for it to finish run = client.actor("wuyuwen0/api-doc-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://docs.apify.com/sdk/js/docs" }, { "url": "https://docs.apify.com/sdk/js/reference" } ] }' | apify call wuyuwen0/api-doc-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wuyuwen0/api-doc-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "API Doc Mcp", "description": "MCP server that scrapes any documentation website and makes it searchable for AI assistants. Configure URLs, then search docs, find code examples, and look up API references directly from Claude.", "version": "0.0", "x-build-id": "cRanWEf1rThqelTnp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wuyuwen0~api-doc-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wuyuwen0-api-doc-mcp", "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/wuyuwen0~api-doc-mcp/runs": { "post": { "operationId": "runs-sync-wuyuwen0-api-doc-mcp", "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/wuyuwen0~api-doc-mcp/run-sync": { "post": { "operationId": "run-sync-wuyuwen0-api-doc-mcp", "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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "List of documentation URLs to start scraping from", "default": [ { "url": "https://docs.apify.com/sdk/js/docs" }, { "url": "https://docs.apify.com/sdk/js/reference" } ], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of pages to scrape", "default": 100 } } }, "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 } } } } } } } } } } ```