CrawlForge MCP vs MCP.so: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of CrawlForge MCP and MCP.so — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
CrawlForge MCP
CrawlForge
MCP server giving AI agents 31 web scraping, search and extraction tools that return clean markdown or structured JSON.
Key features
- 31 MCP-Native Tools: Fetch, scrape, extract, search and research tools exposed through one MCP server that plugs into Claude, Cursor and LangChain.
- Clean Markdown and Structured JSON: Converts any URL into AI-ready markdown or schema-defined JSON in a single call.
- Site Mapping and Deep Crawling: map_site and crawl_deep discover and follow internal links across entire websites.
- Batch Scraping: Process hundreds of URLs in parallel with batch_scrape and retrieve paginated results.
- Browser Sessions and Actions: Keep a page alive across calls and scrape pages that need clicks, scrolls or form fills.
- Search and Research: search_web, reddit_search and deep research tools return ranked results and multi-source findings.
- Change Tracking: track_changes monitors pages with baselines, schedules and alerts.
- Credit-Based Metering: Each tool costs 1-5+ credits per call, so usage and cost stay transparent.
Best for
- Agent Web Access: Giving a coding or research agent live web data through one MCP server.
- RAG Ingestion: Converting documentation sites into clean markdown for retrieval pipelines.
- Competitor Monitoring: Tracking pricing or content changes on competitor pages with alerts.
- SEO Analysis: Checking where a domain ranks for keywords and generating llms.txt files.
- Lead and Market Research: Extracting structured data from product, directory and social pages at scale.
- Document Processing: Pulling text out of PDFs and other documents found online.
MCP.so
MCP.so
A public directory and index of Model Context Protocol (MCP) servers for discovery, integration, and community-curated listings.
Key features
- Centralized Registry: Aggregates a large collection of MCP server projects and implementations in one searchable catalog, reducing time to find servers that expose specific capabilities.
- Integration Highlights: Surfaces notable integrations such as Claude MCP support and other ready-made connectors to popular services and tools, helping users identify compatible servers quickly.
- Links to Source and Install Instructions: Provides direct links to GitHub repositories, SDKs, and installation or usage guides so developers can clone, run, or adapt MCP servers without extensive searching.
- Curated Listings: Maintains community-curated "Awesome MCP Servers" lists that call out high-quality, widely used, or specialized server implementations for common use cases.
- Capability Tagging and Filtering: Organizes servers by capabilities (e.g., Google Drive, Redis, PostgreSQL, AWS KB retrieval) enabling targeted discovery of servers that expose the exact data sources or actions required.
- Ecosystem References: Connects users to MCP ecosystem resources (SDKs, registries, inspector tools) and highlights client/server interoperability to simplify integration into existing tools and IDEs.
- Developer-Focused Metadata: Shows repository and implementation metadata (language, supported features, links to docs) so developers can assess compatibility and maturity before adoption.
- Search and browse a collection of MCP server listings
- Links to server projects, SDKs, and integrations
- Highlights integrations (e.g., Claude MCP integration)
- Community-contributed resources and references
- Facilitates discovery for developers and teams evaluating MCP servers
- Curated index of MCP server implementations and community repositories
- Search and discovery interface for MCP servers and connectors (e.g., Claude, GitHub Copilot)
- Links to official MCP resources: registries, SDKs, example servers and documentation
- Highlights common connectors and server types (Google Drive, Google Maps, Redis, PostgreSQL, AWS KB retrieval)
- Surface supported SDK languages and client/server libraries (TypeScript, Python, Java, Kotlin, C#, .NET)
- References integration patterns for editors and IDEs (e.g., VS Code, MCP-compatible editors)
- Guidance pointers for self-hosted vs. remote MCP server deployment and configuration
Best for
- Discovering a Google Drive MCP Server: A developer searching for a server that exposes Google Drive files to an LLM can find an implementation link and setup instructions to add file access to their agent.
- Adding Claude Integration to a Project: Teams evaluating model integrations can locate MCP servers explicitly tested with Claude and follow repo links to deploy the integration quickly.
- Selecting a Database Connector: Engineers needing read-only PostgreSQL access for context-aware code assistance can find PostgreSQL-capable MCP servers and examine installation and security notes.
- Rapid Prototyping with SDKs: Developers new to MCP can use MCP.so to find example servers and linked SDKs (TypeScript, Python, Java, Kotlin) to prototype client-server interactions.
- Choosing an AWS-Enabled Server: Infrastructure teams can locate AWS MCP server implementations (e.g., AWS KB retrieval) to enable cloud service commands and data retrieval by LLMs.
- Curating a Team Registry: Organizations can use MCP.so as reference material to build an internal shortlist of vetted MCP servers to deploy or self-host for consistent tooling across teams.
- Discover available MCP servers to connect models with data and tools
- Find example server implementations and SDK links
- Evaluate server options before self-hosting or managed deployment
- Locate integrations (e.g., Claude) for rapid prototyping
- Share and discover community-maintained MCP resources
- Discover MCP server implementations to connect LLMs to internal data sources (databases, file stores, knowledge bases)
- Find and link to SDKs and example servers for building custom MCP servers or clients
- Locate integrations to enable model-driven actions in IDEs (Copilot Chat integration, TypeScript symbol definition finders)
- Evaluate connectors for common services (Google Drive, Google Maps, Redis, PostgreSQL, AWS knowledge base retrieval)
- Choose between self-hosted MCP servers or remote/hosted MCP providers for secure model access to resources