# Coin Identifier MCP Server (`mowell_labs/coin-identifier-mcp`) Actor Vision-based coin and currency identification MCP server. Send a photo of any coin, paper money, or bullion piece and get structured identification data including country, denomination, year, mint mark, grade estimate, and market value. Powered by Claude Vision. - **URL**: https://apify.com/mowell\_labs/coin-identifier-mcp.md - **Developed by:** [Brian Mowell](https://apify.com/mowell_labs) (community) - **Categories:** MCP servers, Agents, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 value lookups This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## Coin Identifier MCP Server Vision-based coin and currency identification powered by Claude Vision. Send a photo of any coin, paper money, or bullion piece and get back structured identification data. **By [Mowell Labs](https://github.com/mowell-labs)** ### What It Does | Tool | Description | API Cost | |------|-------------|----------| | `identify_coin` | Photo → full coin/currency ID (country, year, denomination, mint, grade, value) | ~$0.02 | | `identify_item` | Photo → auto-detect type (coin/currency/card/bullion) then ID | ~$0.03 | | `estimate_value` | Coin attributes → web-searched market value from recent sales | ~$0.01 | | `estimate_melt_value` | Metal + weight + spot price → melt value (no API call) | Free | | `estimate_silver_melt` | Pre-1965 US coin denomination → silver melt value with grade premium | Free | ### Requirements - Python 3.10+ - Anthropic API key (set as `ANTHROPIC_API_KEY` environment variable) ### Install ```bash pip install coin-identifier-mcp ```` Or clone and install locally: ```bash git clone https://github.com/mowell-labs/coin-identifier-mcp.git cd coin-identifier-mcp pip install -e . ``` ### Run #### stdio (default — for Claude Desktop, Cursor, etc.) ```bash export ANTHROPIC_API_KEY="sk-ant-..." python -m server ``` #### SSE (for web clients, Apify, MCPize) ```bash export ANTHROPIC_API_KEY="sk-ant-..." fastmcp run server.py --transport sse --port 8001 ``` #### Claude Desktop config Add to `~/Library/Application Support/Claude/claude_desktop_config.json`: ```json { "mcpServers": { "coin-identifier": { "command": "python", "args": ["-m", "server"], "cwd": "/path/to/coin-identifier-mcp", "env": { "ANTHROPIC_API_KEY": "sk-ant-..." } } } } ``` ### Tools #### identify\_coin Identify a coin or paper currency from a photograph. **Input:** - `image_base64` (string, required) — Base64-encoded image data - `mime_type` (string, default "image/jpeg") — Image MIME type **Output:** ```json { "success": true, "coin": { "country": "United States", "denomination": "Quarter", "year": 1964, "mint_mark": "D", "composition": "90% silver, 10% copper", "variety": "", "errors": "", "grade_estimate": "VF", "condition_description": "Moderate wear on high points, all details visible", "name": "Washington Quarter", "description": "1964-D Washington Quarter, 90% silver", "estimated_value": 8.50, "is_graded": false, "grading_service": "", "grade_number": "", "certification_number": "", "sub_type": "", "friedberg_number": "" } } ``` #### identify\_item Auto-detect whether image is coin, card, or bullion, then identify. **Input:** Same as `identify_coin`. **Output:** Same as `identify_coin` with added `item_type` field. #### estimate\_value Look up current market value via web search. **Input:** - `name` (string, required) — e.g. "Morgan Silver Dollar" - `year` (int, optional) - `denomination` (string, optional) - `mint_mark` (string, optional) - `grade_estimate` (string, optional) - `variety` (string, optional) - `grading_service` (string, optional) — NGC, PCGS, etc. - `grade_number` (string, optional) — MS-65, AU-58, etc. - `certification_number` (string, optional) - `sub_type` (string, optional) — fractional\_currency, etc. - `friedberg_number` (string, optional) - `country` (string, optional) **Output:** ```json { "success": true, "estimated_value": 42.50, "analysis": "Based on recent eBay sold listings...", "source": "web_search" } ``` #### estimate\_melt\_value Pure calculation — no API calls. **Input:** - `metal` (string) — gold, silver, platinum, etc. - `weight_oz` (float) — Weight in troy ounces - `spot_price_per_oz` (float) — Current spot price - `purity` (float, default 0.999) **Output:** ```json { "metal": "gold", "weight_oz": 1.0, "purity": 0.999, "spot_price_per_oz": 2350.00, "melt_value_usd": 2347.65 } ``` #### estimate\_silver\_melt Pre-1965 US silver coin melt value with grade premium. **Input:** - `denomination` (string) — dime, quarter, half dollar, dollar - `year` (int) — Must be pre-1965 - `silver_spot_per_oz` (float) — Current silver spot price - `grade_estimate` (string, optional) — Grade for premium multiplier **Output:** ```json { "denomination": "quarter", "year": 1958, "silver_content_oz": 0.1808, "silver_spot": 30.0, "melt_value_usd": 5.42, "grade_estimate": "VF", "grade_multiplier": 2.0, "estimated_value_usd": 10.85, "note": "Melt value is floor. Numismatic premium varies by date, mint, condition." } ``` ### Environment Variables | Variable | Required | Default | Description | |----------|----------|---------|-------------| | `ANTHROPIC_API_KEY` | Yes | — | Your Anthropic API key | | `COIN_ID_VISION_MODEL` | No | `claude-sonnet-4-20250514` | Model for vision identification | | `COIN_ID_SEARCH_MODEL` | No | `claude-haiku-4-5-20251001` | Model for value web search | ### Test Commands ```bash ## Test with fastmcp CLI export ANTHROPIC_API_KEY="sk-ant-..." ## List tools fastmcp dev server.py --list-tools ## Test melt value (no API key needed) echo '{"metal": "silver", "weight_oz": 1.0, "spot_price_per_oz": 30.0, "purity": 0.999}' | \ fastmcp run server.py --tool estimate_melt_value ## Test silver melt echo '{"denomination": "quarter", "year": 1958, "silver_spot_per_oz": 30.0, "grade_estimate": "VF"}' | \ fastmcp run server.py --tool estimate_silver_melt ## Test coin identification (requires API key + image) python3 -c " import base64, json with open('test_coin.jpg', 'rb') as f: b64 = base64.b64encode(f.read()).decode() print(json.dumps({'image_base64': b64, 'mime_type': 'image/jpeg'})) " | fastmcp run server.py --tool identify_coin ``` ### Typical Agent Workflow ``` 1. Agent receives coin photo from user 2. Call identify_item → gets structured ID + rough value 3. Call estimate_value with the returned attributes → gets market-verified price 4. (Optional) Call estimate_silver_melt for pre-1965 silver → gets melt floor 5. Agent presents complete identification + valuation to user ``` ### Cost Per Use | Operation | Model | Approximate Cost | |-----------|-------|-----------------| | Classify item type | Sonnet | ~$0.005 | | Identify coin | Sonnet | ~$0.02 | | Value lookup | Haiku + web search | ~$0.01 | | Melt calculation | None | Free | | **Full pipeline** | — | **~$0.03-0.04** | ### License MIT ### Platform Deployment #### Apify See `apify/` directory (coming soon) for Actor wrapper. #### MCPize ```bash ## Direct deploy via MCPize CLI mcpize deploy server.py --name coin-identifier --transport sse ``` ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("mowell_labs/coin-identifier-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("mowell_labs/coin-identifier-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 '{}' | apify call mowell_labs/coin-identifier-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mowell_labs/coin-identifier-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Coin Identifier MCP Server", "description": "Vision-based coin and currency identification MCP server. Send a photo of any coin, paper money, or bullion piece and get structured identification data including country, denomination, year, mint mark, grade estimate, and market value. Powered by Claude Vision.", "version": "1.0", "x-build-id": "0H2Tjj16Y5BYVzPhO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mowell_labs~coin-identifier-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mowell_labs-coin-identifier-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mowell_labs~coin-identifier-mcp/runs": { "post": { "operationId": "runs-sync-mowell_labs-coin-identifier-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mowell_labs~coin-identifier-mcp/run-sync": { "post": { "operationId": "run-sync-mowell_labs-coin-identifier-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": {} }, "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 } } } } } } } } } } ```