Firecrawl MCP Server ranks higher at 62/100 vs cipher-x402-mcp at 34/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | cipher-x402-mcp | Firecrawl MCP Server |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 34/100 | 62/100 |
| Adoption | 0 | 1 |
| Quality |
| 0 |
| 1 |
| Ecosystem | 1 | 1 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 9 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Implements a forward-only relay pattern where MCP clients invoke paid tools without pre-funding. When an agent calls a gated tool lacking an X-PAYMENT header, the server returns the upstream HTTP 402 response with an accept-list (payment terms, amount, recipient address) verbatim. The agent's wallet signs the payment in USDC on Base, includes the signature in X-PAYMENT header, and retries. The server never custodies funds — it validates signatures and forwards authenticated requests upstream. This enables pay-per-call microtransactions (0.005–0.25 USDC) without wallet pre-setup or escrow.
Unique: Uses HTTP 402 as a first-class MCP integration pattern with agent-side wallet signing, avoiding custody and enabling true pay-per-call without pre-funding. The forward-only relay design passes payment terms verbatim from upstream, making the server stateless and composable.
vs alternatives: Unlike API key rate-limiting or subscription models, this enables true micropayments with zero custody risk and transparent per-call pricing visible to agents at runtime.
Provides a free, rule-based security audit for Solana wallets by analyzing on-chain activity patterns and account state. The audit applies a hardcoded ruleset (included in the MCP server) to detect common vulnerabilities: token account misconfigurations, suspicious delegation patterns, exposure to known malicious programs, and balance anomalies. Results are returned as structured findings with severity levels. This is the only free tool in the suite; others are gated behind x402 payments.
Unique: Embedded rule-based audit engine that runs locally on the MCP server without external API calls, making it fast and free. Rules are transparent and forkable — users can customize the ruleset for their own threat model.
vs alternatives: Faster and cheaper than calling external security APIs; no per-call cost and no dependency on third-party services, making it suitable for high-frequency agent audits.
Scans a Solana wallet's transaction history, token balances, and account state by querying the Solana RPC API. Returns structured data including recent transactions, token holdings, SOL balance, and account metadata. The tool abstracts RPC complexity behind a simple wallet address input, handling pagination and data aggregation internally. Results are cached implicitly by the RPC provider but not by the MCP server itself.
Unique: Exposes Solana RPC queries through an MCP interface with payment gating, allowing agents to access wallet data on-demand without managing RPC connections directly. The tool abstracts RPC pagination and error handling.
vs alternatives: Simpler than direct RPC integration for agents; payment gating ensures fair usage and monetizes access to wallet data queries.
Checks if an email address or password has appeared in known data breaches by querying the Have I Been Pwned (HIBP) API. The MCP server acts as a relay, forwarding requests to HIBP and returning breach records with metadata (breach name, date, compromised data types). Requests are gated behind x402 payments to monetize access to the HIBP service.
Unique: Wraps HIBP API access in an MCP interface with x402 payment gating, allowing agents to monetize breach-checking queries. The relay pattern keeps the MCP server stateless.
vs alternatives: Enables agents to access HIBP data without managing API keys directly; payment gating ensures fair usage and monetizes the integration.
Calculates optimal Jito tips for Solana transactions based on current network congestion and MEV conditions. The tool queries Jito's tip API to fetch current tip percentiles and returns a recommendation (in lamports or USDC) for a given transaction size. This enables agents to optimize transaction inclusion probability without overpaying for tips.
Unique: Exposes Jito's tip API through MCP with real-time network condition analysis, allowing agents to make dynamic transaction optimization decisions. The tool abstracts Jito API complexity behind a simple input/output interface.
vs alternatives: Simpler than direct Jito API integration for agents; payment gating monetizes access to real-time tip data.
Analyzes a GitHub repository and returns a health score based on metrics: commit frequency, issue resolution time, test coverage, documentation completeness, and dependency freshness. The tool queries the GitHub API to fetch repository metadata, recent commits, issues, and workflows, then applies a weighted scoring algorithm. Results include the overall health score (0-100) and component breakdowns.
Unique: Implements a multi-dimensional health scoring algorithm that combines commit frequency, issue resolution, test coverage, and dependency freshness into a single score. The tool abstracts GitHub API complexity and provides actionable metrics.
vs alternatives: More comprehensive than simple star counts or last-commit checks; provides actionable health metrics that agents can use for decision-making.
Fetches economic time-series data from the Federal Reserve Economic Data (FRED) API, including GDP, inflation, unemployment, and interest rates. The tool accepts a FRED series ID and returns historical data points with dates and values. Results can be aggregated (mean, median, latest) or returned as full time-series for agent-side analysis.
Unique: Exposes FRED API through MCP with optional aggregation and time-range filtering, allowing agents to incorporate macro data into decision-making without managing API keys. The tool abstracts FRED's query complexity.
vs alternatives: Simpler than direct FRED API integration for agents; payment gating monetizes access to economic data queries.
Queries the Drift Protocol (a Solana perpetual futures platform) to retrieve a wallet's open positions, collateral, and leverage exposure. The tool fetches position data from Drift's on-chain state and returns structured position information including entry price, current price, PnL, and liquidation risk. This enables agents to monitor trading positions and assess liquidation risk in real-time.
Unique: Integrates with Drift Protocol's on-chain state to provide real-time position and liquidation risk analysis. The tool abstracts Drift's complex state structure and provides actionable position metrics.
vs alternatives: Direct on-chain integration provides real-time data without relying on external indexing services; payment gating monetizes access to Drift position queries.
+1 more capabilities
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 cipher-x402-mcp at 34/100. cipher-x402-mcp leads on ecosystem, while Firecrawl MCP Server is stronger on adoption and quality.
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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.
+5 more capabilities