"Building and Using MCP Tools" matching MCP servers:

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Enables agents to interact with the Logflare API by writing JavaScript functions that run in a Vercel Sandbox, using three tools: search, execute_read, and execute_write.

Enables LLMs to make HTTP requests using structured cURL commands with support for multiple authentication methods, custom headers, and comprehensive request/response control.

Enables AI agents to connect to any GraphQL endpoint, introspect schemas, and execute queries or mutations through auto-generated tools.

Enables precise measurement of live HTTP and WebSocket services while maintaining an append-only, evidence-based ledger of claims that agents can query with explicit timestamps, staleness indicators, and instructions for re-verification.

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

Enables AI agents to create, run, and manage HTTP requests using the Invoker API client's .ivk format. It provides tools for scanning collections, executing requests, managing environments, and building documentation sites.

Self-healing API proxy MCP that sends REST requests, diagnoses failures using Claude, patches requests, and retries. Successful fixes are remembered for instant reuse.

Generates schema-compliant mock data from OpenAPI JSON Schema definitions using AI, enabling seamless testing without manual fixtures.

Enables MCP-compatible AI clients to query, search, create, and update YApi API definitions and categories using natural language, with write operations excluding deletion for safety.

Zero-telemetry local developer execution layer for AI coding agents. Provides deterministic tools to inspect listening network ports and processes, calculate IPv4 CIDR subnet ranges and usable hosts, decode embedded creation timestamps from distributed IDs (UUIDv7, ULID, Snowflake, MongoDB ObjectId), and convert Unix epoch timestamps to UTC, ISO 8601, and local time.

Provides OpenAPI validation and analysis tools to assist developers in building Model Context Protocol servers. It generates developer context and specific agent prompts based on API specifications to streamline the creation of agentic workflows.

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.

Enables AI assistants to search, browse, and generate example payloads from Sage Intacct REST API documentation using OpenAPI specs.

Enables agents to price and analyze interest-rate, credit, equity and inflation trades by building validated requests to a QuantLib-based pricing engine and returning its numbers alongside the exact request sent. It also exposes curve construction from presets or pasted market data, risk analytics via finite differences, and reconciliation tools, while requiring user-supplied market data.

Generates comprehensive API test plans (positive, negative, and boundary/edge cases) from endpoint metadata using LLMs, and exports them as Excel files.

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

MCP server that provides tools for exploring and testing APIs through Swagger/OpenAPI documentation.

Enables generating complete multi-step API workflows, converting scenario outlines to HTTP steps, and checking server status through MCP tools.

A Model Context Protocol server that enables AI assistants to make HTTP requests (GET, POST, PUT, DELETE) to external APIs through standardized MCP tools.

Enables measuring, comparing, and health-checking endpoint response times through natural language, using tools to probe URL latency and compare two URLs.

Enables browser automation and API testing for AI agents using Playwright and Chrome DevTools Protocol, with numbered element references, Set-of-Mark screenshots, flow recording/replay, element memory, captcha handoff, and HTTP API test suites.

Enables AI tools to search, create, update, and manage YApi API interfaces, projects, and categories through natural language.

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

Enables AI agents to explore any OpenAPI 3 spec, inspect endpoints and schemas, generate TypeScript types, and make authenticated API calls using credentials mapped to the spec's security schemes.

A server that implements the Model Context Protocol (MCP) standard, enabling LLMs like Claude to interact with selected Postman API requests through generated JavaScript tools.

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.

Enables interaction with ACOMO API through MCP tools and resources. Provides comprehensive API exploration, operation calling, and schema inspection capabilities for ACOMO backend services.

Provides Model Context Protocol tools for interacting with eToro's public API endpoints, allowing users to fetch portfolios, look up instrument details, and search for instruments while handling CORS restrictions.

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