| 1 |
| Ecosystem | 1 | 1 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Enables LLM agents and MCP clients to register new domains through the Namesilo registrar API by translating natural language requests into structured domain registration calls. The MCP server acts as a protocol bridge, exposing Namesilo's REST API endpoints as MCP tools that Claude and other LLM clients can invoke with domain name, TLD, and registration parameters, handling authentication via API key injection and returning registration status with domain details.
Unique: Exposes Namesilo's domain registration API as native MCP tools, allowing LLM agents to register domains without custom API client code — the MCP server handles protocol translation, authentication, and response formatting automatically
vs alternatives: Simpler than building custom Namesilo API clients for each LLM framework; provides standardized MCP interface that works with any MCP-compatible client (Claude, custom agents) without framework-specific bindings
Allows MCP clients to check domain availability across multiple TLDs in a single call by batching requests to Namesilo's availability API. The server translates domain name queries into Namesilo API calls, returning availability status and pricing for each TLD variant, enabling agents to make informed domain selection decisions without multiple round-trips.
Unique: Implements batch domain availability checking through MCP, allowing agents to query multiple TLDs in a single tool invocation rather than sequential API calls, reducing latency and API overhead for domain search workflows
vs alternatives: More efficient than making separate API calls per TLD; MCP protocol integration means agents can reason about availability results natively without parsing raw API responses
Manages the domain transfer workflow through Namesilo by exposing MCP tools for initiating transfers, retrieving authorization codes from current registrars, and tracking transfer status. The server handles the multi-step transfer process (authorization code retrieval, transfer initiation, confirmation) as discrete MCP operations that agents can chain together, with built-in error handling for common transfer failures like invalid authorization codes or locked domains.
Unique: Decomposes the multi-step domain transfer process into discrete MCP tools that agents can chain together, providing visibility into each transfer stage (authorization, initiation, confirmation) rather than exposing a single black-box transfer endpoint
vs alternatives: Enables agents to handle transfer workflows with explicit error handling and status tracking at each step, versus simple API wrappers that require agents to manage transfer state externally
Provides MCP tools for renewing domains, checking expiration dates, and setting up auto-renewal policies through Namesilo. The server exposes renewal operations as MCP tools that agents can invoke to extend domain registrations, query expiration timelines, and configure automatic renewal settings, enabling proactive domain lifecycle management without manual intervention.
Unique: Integrates domain renewal and expiration tracking as MCP tools, allowing agents to proactively manage domain lifecycles by querying expiration dates and triggering renewals based on custom logic (e.g., renew 30 days before expiration)
vs alternatives: Enables programmatic domain lifecycle management versus manual renewal reminders; agents can implement custom renewal policies without relying on Namesilo's built-in auto-renewal settings
Exposes Namesilo's DNS management API as MCP tools, allowing agents to create, update, and delete DNS records (A, CNAME, MX, TXT, etc.) for domains registered with Namesilo. The server translates DNS record operations into Namesilo API calls, handling record validation, conflict detection, and propagation status tracking, enabling agents to configure domain DNS settings programmatically.
Unique: Provides MCP-native DNS record management for Namesilo domains, allowing agents to configure DNS as part of automated domain provisioning workflows without switching between registrar and DNS provider APIs
vs alternatives: Integrated DNS management within the same MCP interface as domain registration, versus requiring separate DNS API integrations; reduces context switching and enables atomic domain + DNS setup operations
Exposes MCP tools for querying Namesilo account balance, viewing transaction history, and retrieving billing information. The server translates account queries into Namesilo API calls, returning current balance, recent transactions, and account status, enabling agents to make cost-aware decisions about domain operations and prevent failed transactions due to insufficient balance.
Unique: Integrates financial account data into the MCP interface, allowing agents to make cost-aware domain decisions by querying balance and transaction history before executing expensive operations
vs alternatives: Enables agents to implement custom budget policies and cost controls, versus relying on Namesilo's account-level spending limits; provides visibility into transaction history for audit and reconciliation
Scrapes a single URL and converts HTML content to clean markdown using Firecrawl's content extraction pipeline. The firecrawl_scrape tool accepts a URL and optional parameters (formats, headers, wait time, screenshot capability) and returns structured markdown output with automatic cleanup of boilerplate, navigation, and ads. Implements MCP tool handler pattern that marshals arguments through the @mendable/firecrawl-js client library to Firecrawl's backend processing engine.
Unique: Integrates Firecrawl's proprietary content extraction engine (which uses ML-based boilerplate removal and semantic content identification) through MCP protocol, enabling AI agents to access production-grade web scraping without managing browser automation or parsing logic themselves. The markdown conversion is handled server-side rather than client-side, reducing latency and ensuring consistent output formatting.
vs alternatives: Cleaner markdown output than regex-based scrapers like Cheerio or Puppeteer-only solutions because Firecrawl uses ML models to identify main content; simpler than self-hosted solutions because it's fully managed and requires only an API key.
Scrapes multiple URLs in a single operation using Firecrawl's batch processing pipeline. The firecrawl_batch_scrape tool accepts an array of URLs and shared options, submitting them to Firecrawl's backend which processes them in parallel and returns an array of markdown-converted content objects. Implements batching through the @mendable/firecrawl-js client's batch method, which handles request queuing, parallel execution, and result aggregation without requiring client-side coordination.
Unique: Implements server-side parallel batch processing through Firecrawl's backend rather than client-side loop iteration, reducing network round-trips and enabling true concurrent scraping. The batch operation is atomic from the MCP client perspective — a single tool call returns all results, simplifying agent orchestration logic.
More efficient than sequential scraping loops because Firecrawl handles parallelization server-side; simpler than managing Promise.all() with individual scrape calls because batching is a first-class operation with built-in error handling.
Firecrawl MCP Server scores higher at 62/100 vs namesilo-mcp at 24/100.
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Packages the Firecrawl MCP server as a Docker container with environment-based configuration, enabling deployment to containerized infrastructure (Kubernetes, Docker Compose, cloud platforms). The Dockerfile builds a Node.js runtime with the server code and exposes configuration through environment variables, allowing operators to deploy without modifying code. Supports both cloud and self-hosted Firecrawl instances through configuration.
Unique: Provides production-ready Docker packaging with environment-based configuration, enabling zero-code deployment to containerized infrastructure. The Dockerfile handles Node.js runtime setup and dependency installation, reducing deployment complexity.
vs alternatives: Simpler than manual deployment because Docker handles environment setup; more portable than binary distribution because containers run consistently across platforms.
Registers the Firecrawl MCP server in the Smithery registry, enabling one-click installation and discovery through Smithery's MCP client marketplace. The server is published to Smithery with metadata (description, tags, configuration schema) allowing users to discover and install it without manual setup. Smithery handles server distribution, version management, and client integration.
Unique: Leverages Smithery's MCP server registry to enable one-click installation without manual configuration, reducing friction for end users. Smithery handles server discovery, versioning, and client integration, abstracting deployment complexity.
vs alternatives: More user-friendly than manual installation because Smithery handles discovery and setup; more discoverable than GitHub-only distribution because Smithery provides a centralized marketplace.
Supports connecting to self-hosted Firecrawl instances in addition to Firecrawl's cloud service through configurable API endpoint. The FIRECRAWL_API_URL environment variable allows operators to specify a custom Firecrawl endpoint, enabling deployment scenarios where Firecrawl runs on-premises or in a private cloud. The @mendable/firecrawl-js client library handles endpoint abstraction, routing all API calls to the configured endpoint.
Unique: Enables flexible deployment by supporting both cloud and self-hosted Firecrawl instances through simple endpoint configuration, allowing operators to choose deployment model without code changes. The endpoint abstraction is handled by @mendable/firecrawl-js, making self-hosted support transparent to MCP server code.
vs alternatives: More flexible than cloud-only solutions because self-hosted option is available; simpler than maintaining separate server implementations because endpoint configuration is unified.
Discovers all URLs within a website by crawling from a base URL and building a sitemap-like structure. The firecrawl_map tool accepts a base URL and optional parameters (max depth, include patterns, exclude patterns) and returns a hierarchical array of discovered URLs with metadata about page structure. Uses Firecrawl's crawler to traverse internal links up to specified depth, filtering by inclusion/exclusion patterns, and returns the complete URL graph without fetching full page content.
Unique: Provides lightweight URL discovery without content extraction, allowing agents to plan scraping strategy before committing credits to full content fetches. The depth-based crawling with pattern filtering enables selective discovery — agents can discover only URLs matching specific criteria (e.g., /blog/* paths) without exploring entire site.
vs alternatives: More efficient than scraping every page to build a sitemap because it skips content extraction; more reliable than parsing robots.txt or sitemaps.xml because it performs actual crawling and discovers dynamically-linked content.
Crawls an entire website and extracts content from all discovered pages in a single asynchronous operation. The firecrawl_crawl tool accepts a base URL and options (max pages, allowed domains, exclude patterns, scrape options) and returns a crawl ID for polling. The crawler discovers URLs, extracts markdown content from each page, and stores results server-side. Clients poll firecrawl_crawl_status to retrieve results as they complete, implementing an async job pattern rather than blocking until completion.
Unique: Implements server-side asynchronous crawling with job-based result retrieval, decoupling the crawl initiation from result consumption. The MCP server handles polling coordination through firecrawl_crawl_status, allowing AI agents to initiate long-running crawls and check progress without blocking. Firecrawl's backend manages the entire crawl lifecycle including URL discovery, content extraction, and result storage.
vs alternatives: More scalable than sequential scraping because crawling happens server-side in parallel; simpler than managing Puppeteer/Playwright browser pools because Firecrawl abstracts browser automation and handles rate limiting internally.
Polls the status of an in-progress or completed website crawl and retrieves extracted content. The firecrawl_crawl_status tool accepts a crawl ID and returns current progress (pages crawled, pages remaining, completion percentage), status state (running/completed/failed), and paginated results. Implements polling pattern where clients repeatedly call this tool with the same crawl ID to check progress and incrementally retrieve content as pages are processed, supporting streaming-like result consumption.
Unique: Provides non-blocking status and result retrieval for asynchronous crawls, enabling agents to manage long-running operations without blocking. The polling pattern with pagination allows incremental result consumption — agents can start processing results before the entire crawl completes, reducing end-to-end latency for large crawls.
vs alternatives: More flexible than blocking crawl operations because agents can check progress and retrieve partial results; simpler than webhook-based result delivery because polling requires no external infrastructure setup.
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