| 1 |
| Ecosystem | 1 | 1 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 9 decomposed | 15 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
Establishes bidirectional communication between LLM clients (Claude Desktop, VS Code Copilot, Cursor IDE) and MongoDB instances through the Model Context Protocol using either stdio or HTTP transports. The server implements a four-layer architecture separating transport handling, server orchestration, tool execution, and external service integration, enabling seamless tool invocation without custom client-side integration code.
Unique: Official MongoDB implementation of MCP with dual transport support (stdio and HTTP) and four-layer architecture that cleanly separates transport concerns from tool execution, enabling deployment flexibility without client-side code changes
vs alternatives: As the official MongoDB MCP server, it provides tighter integration with MongoDB's native APIs and Atlas infrastructure than third-party MCP implementations, with built-in support for vector search and Atlas-specific operations
Executes parameterized MongoDB find() queries against collections with support for filtering, projection, sorting, and pagination. The implementation uses the MongoDB Node.js driver's native find() API with automatic cursor management, enabling efficient streaming of large result sets through the MCP resource export mechanism to avoid protocol message size limits.
Unique: Integrates MongoDB's native cursor streaming with MCP resource export mechanism, automatically offloading large result sets to prevent protocol message size violations while maintaining transparent access patterns
vs alternatives: Handles result set size constraints more elegantly than REST API wrappers by leveraging MCP's resource URI scheme, enabling seamless access to large collections without client-side pagination logic
MongoDB MCP Server scores higher at 62/100 vs cipher-x402-mcp at 34/100. cipher-x402-mcp leads on ecosystem, while MongoDB MCP Server is stronger on adoption and quality.
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Manages MongoDB Atlas Vector Search indexes for semantic search operations, including index creation with embedding field specifications and vector search query execution. The implementation integrates with the aggregation pipeline's $vectorSearch stage, enabling LLMs to build RAG systems that combine vector similarity search with traditional MongoDB queries.
Unique: Integrates MongoDB Atlas Vector Search index management and querying into MCP tools, enabling LLMs to autonomously build and query semantic search indexes without manual Atlas UI interactions, with full aggregation pipeline integration
vs alternatives: Provides end-to-end vector search capabilities through MCP tools, eliminating the need for separate vector database clients or custom embedding management code, enabling RAG systems built entirely through natural language prompts
Exports large query results to MCP resources (accessible via exported-data:// URIs) to circumvent protocol message size limits. The implementation stores result sets in memory or temporary storage and exposes them through MCP's resource mechanism, enabling LLMs to retrieve large datasets through separate resource access calls without overwhelming the tool response channel.
Unique: Leverages MCP's resource URI scheme to transparently handle result sets exceeding protocol message limits, enabling seamless access to large MongoDB collections without client-side pagination logic or message fragmentation
vs alternatives: Provides a cleaner abstraction for large result handling than REST API pagination by using MCP's native resource mechanism, eliminating the need for custom pagination logic in LLM prompts
Exposes server configuration and connection diagnostics through MCP resources (config:// and debug://mongodb URIs). The implementation provides current configuration with secrets redacted and last connectivity attempt information, enabling LLMs to diagnose connection issues and verify server setup without direct log access.
Unique: Provides secure configuration inspection through MCP resources with automatic secret redaction, enabling LLMs to diagnose issues without exposing sensitive credentials in tool responses
vs alternatives: Offers safer configuration debugging than direct log access by automatically redacting secrets and providing structured diagnostic information through MCP resources
Manages database and collection context across multiple tool invocations through session-based state management. The implementation maintains per-session configuration including current database and collection selections, enabling LLMs to work with multiple databases and collections without repeating context in every tool call.
Unique: Implements session-based context management that isolates database and collection selections per LLM session, enabling multi-database workflows without explicit context parameters in every tool call
vs alternatives: Reduces prompt engineering overhead by maintaining implicit context across tool calls, enabling more natural LLM interactions with MongoDB without verbose parameter passing
Implements a type-safe tool framework in TypeScript with automatic parameter validation and schema generation. The framework uses TypeScript interfaces to define tool parameters, automatically generates JSON schemas for MCP protocol compliance, and validates inputs at runtime, enabling type-safe tool development without manual schema management.
Unique: Provides a TypeScript-first tool framework that automatically generates MCP schemas from type definitions, eliminating manual schema management and enabling type-safe tool development with minimal boilerplate
vs alternatives: Reduces schema maintenance burden compared to manual JSON schema definitions by deriving schemas from TypeScript types, enabling developers to focus on tool logic rather than schema synchronization
Executes MongoDB aggregation pipelines with support for all standard stages ($match, $group, $project, $sort, etc.) and specialized stages like $vectorSearch for semantic search operations. The implementation passes pipeline definitions directly to MongoDB's aggregate() method, enabling complex multi-stage transformations and vector similarity searches on Atlas Vector Search indexes without intermediate result materialization.
Unique: Native support for $vectorSearch stage enables semantic search directly within aggregation pipelines, allowing LLMs to compose complex retrieval workflows combining vector similarity with traditional filtering and transformations in a single operation
vs alternatives: Eliminates the need for separate vector search clients or post-processing logic by embedding vector operations into MongoDB's aggregation framework, reducing latency and simplifying LLM prompt engineering for RAG systems
+7 more capabilities