update to v2 and streamable http

.github/workflows/ci.yml

@@ -27,6 +27,3 @@ jobs:
 
       - name: Lint
         run: npm run lint
-
-      - name: Test
-        run: npm test

README.md

@@ -311,8 +311,6 @@ Use this guide to select the right tool for your task:
 - **If you want to search the web for info:** use **search**
 - **If you want to extract structured data:** use **extract**
 - **If you want to analyze a whole site or section:** use **crawl** (with limits!)
-- **If you want to do in-depth research:** use **deep_research**
-- **If you want to generate LLMs.txt:** use **generate_llmstxt**
 
 ### Quick Reference Table
 
@@ -324,8 +322,6 @@ Use this guide to select the right tool for your task:
 | crawl               | Multi-page extraction (with limits)      | markdown/html[] |
 | search              | Web search for info                      | results[]       |
 | extract             | Structured data from pages               | JSON            |
-| deep_research       | In-depth, multi-source research          | summary, sources|
-| generate_llmstxt    | LLMs.txt for a domain                    | text            |
 
 ## Available Tools
 
@@ -629,78 +625,6 @@ When using a self-hosted instance, the extraction will use your configured LLM.
 }
 ```
 
-### 9. Deep Research Tool (`firecrawl_deep_research`)
-
-Conduct deep web research on a query using intelligent crawling, search, and LLM analysis.
-
-**Best for:**
-- Complex research questions requiring multiple sources, in-depth analysis.
-
-**Not recommended for:**
-- Simple questions that can be answered with a single search
-- When you need very specific information from a known page (use scrape)
-- When you need results quickly (deep research can take time)
-
-**Arguments:**
-- query (string, required): The research question or topic to explore.
-- maxDepth (number, optional): Maximum recursive depth for crawling/search (default: 3).
-- timeLimit (number, optional): Time limit in seconds for the research session (default: 120).
-- maxUrls (number, optional): Maximum number of URLs to analyze (default: 50).
-
-**Prompt Example:**
-> "Research the environmental impact of electric vehicles versus gasoline vehicles."
-
-**Usage Example:**
-```json
-{
-  "name": "firecrawl_deep_research",
-  "arguments": {
-    "query": "What are the environmental impacts of electric vehicles compared to gasoline vehicles?",
-    "maxDepth": 3,
-    "timeLimit": 120,
-    "maxUrls": 50
-  }
-}
-```
-
-**Returns:**
-- Final analysis generated by an LLM based on research. (data.finalAnalysis)
-- May also include structured activities and sources used in the research process.
-
-### 10. Generate LLMs.txt Tool (`firecrawl_generate_llmstxt`)
-
-Generate a standardized llms.txt (and optionally llms-full.txt) file for a given domain. This file defines how large language models should interact 
-with the site.
-
-**Best for:**
-- Creating machine-readable permission guidelines for AI models.
-
-**Not recommended for:**
-- General content extraction or research
-
-**Arguments:**
-- url (string, required): The base URL of the website to analyze.
-- maxUrls (number, optional): Max number of URLs to include (default: 10).
-- showFullText (boolean, optional): Whether to include llms-full.txt contents in the response.
-
-**Prompt Example:**
-> "Generate an LLMs.txt file for example.com."
-
-**Usage Example:**
-```json
-{
-  "name": "firecrawl_generate_llmstxt",
-  "arguments": {
-    "url": "https://example.com",
-    "maxUrls": 20,
-    "showFullText": true
-  }
-}
-```
-
-**Returns:**
-- LLMs.txt file contents (and optionally llms-full.txt)
-
 ## Logging System
 
 The server includes comprehensive logging:

package.json

@@ -1,7 +1,7 @@
 {
   "name": "firecrawl-mcp",
-  "version": "1.12.0",
-  "description": "MCP server for Firecrawl web scraping integration. Supports both cloud and self-hosted instances. Features include web scraping, batch processing, structured data extraction, and LLM-powered content analysis.",
+  "version": "2.0.2",
+  "description": "MCP server for Firecrawl web scraping integration. Supports both cloud and self-hosted instances. Features include web scraping, search, batch processing, structured data extraction, and LLM-powered content analysis.",
   "type": "module",
   "bin": {
     "firecrawl-mcp": "dist/index.js"
@@ -20,15 +20,17 @@
     "lint:fix": "eslint src/**/*.ts --fix",
     "format": "prettier --write .",
     "prepare": "npm run build",
-    "publish": "npm run build && npm publish"
+    "publish": "npm run build && npm publish",
+    "publish-beta": "npm run build && npm publish --tag beta"
   },
   "license": "MIT",
   "dependencies": {
-    "@mendable/firecrawl-js": "^1.19.0",
-    "@modelcontextprotocol/sdk": "^1.4.1",
+    "@mendable/firecrawl-js": "^3.0.3",
+    "@modelcontextprotocol/sdk": "^1.17.3",
     "dotenv": "^16.4.7",
     "express": "^5.1.0",
     "shx": "^0.3.4",
+    "typescript": "^5.9.2",
     "ws": "^8.18.1"
   },
   "devDependencies": {
@@ -43,8 +45,7 @@
     "jest": "^29.7.0",
     "jest-mock-extended": "^4.0.0-beta1",
     "prettier": "^3.1.1",
-    "ts-jest": "^29.1.1",
-    "typescript": "^5.3.3"
+    "ts-jest": "^29.1.1"
   },
   "engines": {
     "node": ">=18.0.0"