| 1 |
| Ecosystem | 1 | 1 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 9 decomposed | 11 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
Executes web searches via the Tavily API and returns structured results with relevance scoring, source attribution, and clean text extraction optimized for LLM consumption. The MCP server marshals search queries through an axios HTTP client configured with the Tavily API key, parses JSON responses containing ranked results with URLs and snippets, and formats output for direct consumption by language models without additional preprocessing.
Unique: Tavily's search results are specifically optimized for LLM consumption with relevance scoring and clean formatting, rather than generic web search results. The MCP server wraps this via StdioServerTransport, enabling seamless integration into Claude Desktop and other MCP clients without custom HTTP handling.
vs alternatives: Returns LLM-ready formatted results with relevance scores out-of-the-box, whereas generic search APIs (Google, Bing) require additional parsing and ranking logic to be LLM-friendly.
Extracts clean, structured content from specified URLs using the Tavily extract endpoint, handling HTML parsing, boilerplate removal, and content normalization automatically. The server sends URLs to Tavily's extraction service via axios, receives parsed markdown or structured text, and returns content ready for LLM ingestion without requiring the client to manage web scraping libraries or HTML parsing.
Unique: Tavily's extraction service is optimized for LLM-ready output (markdown formatting, boilerplate removal, semantic structure preservation) rather than generic web scraping. The MCP server exposes this as a tool that agents can call directly without managing external scraping libraries.
vs alternatives: Handles boilerplate removal and content normalization automatically, whereas Puppeteer or Cheerio require custom logic to identify main content and remove navigation/ads.
Tavily MCP Server scores higher at 62/100 vs cipher-x402-mcp at 34/100. cipher-x402-mcp leads on ecosystem, while Tavily MCP Server is stronger on adoption and quality.
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Provides pre-built configuration templates and integration guides for popular MCP clients (Claude Desktop, Cursor, VS Code, Cline), including JSON configuration snippets for claude_desktop_config.json, cursor settings, VS Code extensions, and Cline agent configuration. Each integration template specifies the MCP server command, environment variables, and client-specific setup steps.
Unique: Official Tavily MCP provides pre-built integration templates for major MCP clients (Claude Desktop, Cursor, VS Code, Cline), reducing setup friction. Each template includes specific configuration syntax and environment variable requirements for that client.
vs alternatives: Pre-built templates eliminate guesswork in client configuration, whereas generic MCP documentation requires users to adapt examples for Tavily-specific setup.
Crawls websites starting from a seed URL and recursively follows internal links up to a specified depth, extracting content from each page and returning a structured collection of crawled pages. The server manages crawl state through Tavily's crawl endpoint, controlling recursion depth and link-following behavior, and returns all discovered pages with their extracted content and metadata for bulk analysis or knowledge base construction.
Unique: Tavily's crawl service is designed for LLM-friendly bulk extraction with automatic content normalization across multiple pages, rather than generic web crawlers that return raw HTML. The MCP server exposes depth control and link-following as tool parameters, enabling agents to autonomously decide crawl scope.
vs alternatives: Handles content extraction and normalization across all crawled pages automatically, whereas Scrapy or Selenium require custom pipelines to extract and normalize content from each page individually.
Analyzes a website's structure and generates a semantic map of URLs organized by topic or content type, enabling agents to understand site organization without manual exploration. The tavily_map tool sends a seed URL to Tavily's mapping service, which crawls the site, clusters pages by semantic similarity, and returns a hierarchical structure of discovered URLs grouped by inferred topic or purpose.
Unique: Tavily's map tool uses semantic clustering to organize URLs by inferred topic rather than just crawling and returning a flat list. This enables agents to navigate large sites intelligently without exhaustive crawling.
vs alternatives: Provides semantic site structure discovery out-of-the-box, whereas generic crawlers return unorganized URL lists requiring post-processing to identify topic-relevant pages.
Orchestrates multi-step research workflows where an agent autonomously decides which search, extraction, and crawling steps to perform based on intermediate results. The tavily_research tool wraps the other four tools and manages state across multiple API calls, allowing agents to refine queries, follow promising leads, and synthesize findings without explicit step-by-step instruction from the user.
Unique: The research tool enables agents to autonomously orchestrate search, extraction, and crawling steps based on intermediate findings, rather than requiring explicit tool calls for each step. This leverages the agent's reasoning to decide research strategy dynamically.
vs alternatives: Enables autonomous research workflows where agents decide next steps based on findings, whereas manual tool-calling requires explicit user or system prompts to specify each search or extraction step.
Implements the Model Context Protocol (MCP) server specification using TypeScript and StdioServerTransport, enabling the Tavily tools to be exposed as MCP tools callable by any MCP-compatible client. The server registers tool handlers via setRequestHandler(ListToolsRequestSchema, ...) and CallToolRequestSchema, marshaling tool calls from clients through to Tavily API endpoints and returning results in MCP-compliant format.
Unique: Official Tavily MCP server implementation using StdioServerTransport for direct process communication, enabling zero-configuration integration into Claude Desktop and other MCP clients. Supports both remote (hosted) and local deployment models.
vs alternatives: Official MCP implementation ensures compatibility and feature parity with Tavily API, whereas third-party MCP wrappers may lag behind API updates or lack full feature support.
Supports both remote deployment (hosted at https://mcp.tavily.com/mcp/) and local self-hosted deployment (via NPX, Docker, or Git), with different authentication models for each. Remote deployment uses URL parameters or Bearer token headers for API key passing, while local deployment uses TAVILY_API_KEY environment variable. Both expose identical tool capabilities through the same MCP interface.
Unique: Official Tavily MCP provides both remote (zero-setup) and local (self-hosted) deployment options with identical tool capabilities, enabling users to choose based on security, latency, and infrastructure requirements. Remote uses OAuth and Bearer tokens; local uses environment variables.
vs alternatives: Dual deployment model provides flexibility that single-deployment solutions lack; users can start with remote for quick testing and migrate to local for production without code changes.
+3 more capabilities