# Forage — MCP Server for AI Agents (`ernesta_labs/forage`) Actor MCP server giving AI agents real-time web search, page scraping, company intelligence, email discovery, local lead generation, and a persistent knowledge graph. Pay only for what you use, no subscriptions. - **URL**: https://apify.com/ernesta\_labs/forage.md - **Developed by:** [Riccardo Minniti](https://apify.com/ernesta_labs) (community) - **Categories:** MCP servers, Lead generation, Automation - **Stats:** 5 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $30.00 / 1,000 web searches 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 ## Forage MCP Server Real-time web intelligence and lead generation for AI agents. Search, scrape, discover companies, find B2B emails, and build lead lists. ### What is Forage MCP? Forage MCP is a Model Context Protocol server that gives AI agents capabilities they don't have built-in: verified email discovery, B2B lead generation, local business data, company intelligence, and persistent memory. Runs on Apify infrastructure. ### Capabilities - **Real-time web search** — multi-source search returning ranked results - **Page scraping** — extract clean content from any URL as markdown - **Company intelligence** — website summary, contacts, social profiles - **Verified B2B emails** — with confidence scores and LinkedIn profiles - **Lead discovery** — companies and local businesses with phone, website, rating - **Knowledge graph** — automatically remembers everything your agent researches - **12 Skills** — multi-step workflows for dossiers, decision makers, outbound lists, competitive intel ### Quick Start #### Streamable HTTP (Recommended) ```json { "mcpServers": { "forage": { "command": "npx", "args": [ "-y", "@anthropic/mcp-proxy", "https://ernesta-labs--forage.apify.actor/mcp/sse" ], "env": { "APIFY_API_TOKEN": "YOUR_APIFY_TOKEN" } } } } ```` ### Pricing Pay per tool call. No subscription. | Tool | Price | |------|-------| | `search_web` | $0.03 | | `scrape_page` | $0.07 | | `get_company_info` | $0.08 | | `find_emails` | $0.10 | | `find_local_leads` | $0.15 | | `find_leads` | $0.25/100 | | Skills | $0.45 - $3.50 | | Knowledge graph | $0.02 - $0.05 | ### Tools Reference #### Core Tools - `search_web` — Real-time web search - `scrape_page` — Extract clean content from URLs - `get_company_info` — Company website and contacts - `find_emails` — Verified B2B emails - `find_local_leads` — Local business data - `find_leads` — B2B lead lists #### Knowledge Graph - `query_knowledge` — Search accumulated intelligence - `enrich_entity` — Get all data about a company - `find_connections` — Discover entity relationships - `get_graph_stats` — View graph statistics #### Actor Gateway - `list_verified_actors` — Browse available actors - `get_actor_schema` — Get actor input schema - `call_actor` — Run any Apify actor #### Skills - `skill_company_dossier` — Full company profile ($0.50) - `skill_prospect_company` — Decision makers ($0.75) - `skill_outbound_list` — 100 leads for CRM ($3.50) - `skill_local_market_map` — Local businesses ($0.80) - `skill_decision_maker_finder` — 20 contacts ($1.00) - `skill_competitor_intel` — Pricing, features ($0.80) - `skill_competitor_ads` — Active ads ($0.65) - `skill_job_signals` — Hiring patterns ($0.55) - `skill_tech_stack` — Technologies used ($0.45) - `skill_funding_intel` — Funding history ($0.70) - `skill_social_proof` — Reviews ($0.55) - `skill_market_map` — Competitors in market ($1.20) ### Example Usage #### Find company emails ```json { "domain": "stripe.com", "limit": 10 } ``` #### Generate outbound leads ```json { "job_title": "Marketing Director", "industry": "SaaS", "location": "United States" } ``` #### Company dossier ```json { "domain": "notion.so" } ``` ### Support - GitHub: github.com/ernestalabs/forage - Email: support@ernesta.com # Actor input Schema ## `searchQuery` (type: `string`): Optional test query to verify search functionality ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("ernesta_labs/forage").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("ernesta_labs/forage").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 ernesta_labs/forage --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ernesta_labs/forage", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Forage — MCP Server for AI Agents", "description": "MCP server giving AI agents real-time web search, page scraping, company intelligence, email discovery, local lead generation, and a persistent knowledge graph. \n\nPay only for what you use, no subscriptions.", "version": "1.0", "x-build-id": "9gFxBPjMpkiwBSJ8w" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ernesta_labs~forage/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ernesta_labs-forage", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ernesta_labs~forage/runs": { "post": { "operationId": "runs-sync-ernesta_labs-forage", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ernesta_labs~forage/run-sync": { "post": { "operationId": "run-sync-ernesta_labs-forage", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Test Search Query", "type": "string", "description": "Optional test query to verify search functionality" } } }, "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 } } } } } } } } } } ```