"Tools for Data Analysis" matching MCP servers:

A comprehensive suite of HTTP and API testing tools that enables AI agents to perform requests, check endpoint health, and decode JWTs. It also provides utilities for URL parsing and detailed security analysis of HTTP response headers.

Provides a standardized MCP interface for interacting with HTTP tools and services, enabling unified API access and management.

An MCP server that mocks payments, third-party API responses, and test data to enable QA flows for donation, checkout, SIP, and subscription pages without depending on a live gateway.

Validates OpenAPI specs from files, inline content, or URLs, and generates prompts for agent developers based on the API analysis.

Webhook management and testing tools for AI agents. Provides tools for sending, validating, generating, and debugging webhooks.

An MCP server for interacting with Treasure Data API, allowing users to retrieve database information and check server status through natural language queries.

An MCP server that provides tools for exploring large OpenAPI schemas without loading entire schemas into LLM context. Perfect for discovering and analyzing endpoints, data models, and API structure efficiently.

A Swagger/OpenAPI query tool for MCP clients like Cursor, enabling AI assistants to browse, search, and retrieve detailed API type information.

Provides tools to communicate with a service dependency API, enabling users to query and interact with service relationship data and dependency mappings.

An MCP server that generates AI agent tools from Postman collections and requests. This server integrates with the Postman API to convert API endpoints into type-safe code that can be used with various AI frameworks.

An MCP server that wraps the @apitomy/data-models library for querying, validating, and editing OpenAPI and AsyncAPI documents.

Enables AI assistants to execute GraphQL queries and retrieve schema information from any GraphQL endpoint.

Enables Claude to retrieve BIN (Bank Identification Number) data for payment cards, with options for basic or enhanced insights through the Pagos API.

A Model Context Protocol server that connects Gemini CLI with CoinGecko's API, enabling users to access 46 cryptocurrency data tools including price tracking, market trends, and NFT information through terminal commands.

Enables running Postman collections using Newman for conducting API tests and obtaining detailed result analysis via a standardized interface.

A Model Context Protocol server that provides tools for fetching and posting HTTP data, with built-in prompts for URL summarization and API analysis.

MCP server for Akamai APIs. 198 tools covering Property Manager, Edge DNS, CPS, WAF, and reporting. Built with TypeScript, featuring modular architecture, comprehensive testing, and multi-account support. Make Akamai accessible to AI assistants.

This is an MCP server that facilitates building tools for interacting with various APIs and workflows, supporting Python-based development with potential for customizable prompts and user configurations.

A TypeScript-based template for developing Model Context Protocol servers with features like dependency injection and service-based architecture, facilitating the creation and integration of custom data processing tools.

An MCP (Model-Controller-Processor) server for accessing League of Legends client data. This server provides a collection of tools that communicate with the League of Legends Live Client Data API to retrieve in-game data.