"Research on Mimic GPT Technology" matching MCP servers:

Enables Claude to create local, persistent mock REST APIs on demand from plain-language descriptions, with data written to disk so it survives restarts.

MCP server for discovering and calling 400+ practical APIs through six compact tools, with free catalog search and pay-per-call x402 execution on Base.

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

Enables LLMs to send HTTP requests to a local development server, allowing interaction with APIs running on localhost.

Enables AI assistants to help developers build on the monday.com GraphQL API by validating queries, explaining errors, providing column value formats, introspecting the live schema, executing queries, and scaffolding boilerplate code.

MCP server providing diagnostic tools to analyze software architecture, security, REST API compliance, and dependencies for multiple programming languages. Enables AI agents to run scans and audits on codebases.

A configurable MCP server that intelligently routes natural language queries to the appropriate microservice endpoint based on user-defined service configurations.

Converts FastAPI application OpenAPI documentation into MCP tools for AI assistants to efficiently query API information. Reduces token consumption by enabling on-demand, structured API queries instead of loading complete OpenAPI specifications.

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

A server based on Model Context Protocol that parses Swagger/OpenAPI documents and generates TypeScript types and API client code for different frameworks (Axios, Fetch, React Query).

A Model Context Protocol server that allows AI development tools like Cursor and Claude Desktop to retrieve detailed YAPI interface information by interface ID.

Enables AI assistants to perform automated security audits on APIs, detecting BOLA/IDOR vulnerabilities by comparing responses across user tokens.

An MCP image generation server based on the Flux Schnell model that provides API access for generating images from text prompts with customizable dimensions and seeds.

A server based on Model Context Protocol that provides predefined prompt templates for tasks like code review and API documentation generation, enabling more efficient workflows in Cursor/Windsurf editors.

Enables coding agents to discover, write, and test integrations for LinkedIn (Classic, Sales Navigator, Recruiter), WhatsApp, Instagram, Telegram, Gmail/Outlook/IMAP email, and Google/Outlook calendar by reading the live API contract and executing real calls on connected accounts.

Provides a tool to inspect and execute actions on a scaffolding API through Siren hypermedia links, enabling management of scaffolding resources without endpoint knowledge.

Wraps the JSONPlaceholder fake REST API to enable testing and prototyping with CRUD operations on posts, comments, and other resources via MCP.

Connects AI assistants directly to IBM Maximo environments to discover APIs, inspect schemas, query live data, generate UI code, and create, update, or act on records through OSLC REST and business workflows.

Enables AI assistants to describe, configure, and invoke structured-output LLM endpoints on the ShapeShyft platform, managing entities, projects, keys, analytics, and usage.

Exposes a small fake marketplace over JSON-RPC/HTTP: clients can echo input, search a three-item catalog, call an item with validated arguments, and run cost-capped jobs whose results are fetched later via a server-minted job handle. It ships as two side-by-side servers, one on the official SDK and one hand-written against the 2026-07-28 revision, so the same request can be sent to each and compared.

Enables users to convert any OpenAPI or Swagger spec URL into a hosted MCP server on the Agentic Tools Platform, with tools for analyzing, trimming, and managing OpenAPI specifications.

A headless MCP server for Bruno workspaces, enabling CRUD operations on collections, folders, requests, environments, and dotenv files, plus request execution with scripting, tests, and assertions over HTTP, GraphQL, gRPC, and WebSocket.

Enables AI agents to develop SAP Cloud Integration content by editing iFlows, Groovy scripts, and XSLT locally, validating and checking them, then pushing, deploying, and testing on development tenants. It supports package and artifact inspection, model-level diffs, script and XSLT runs, and tenant message testing with safety controls.

Analyzes API requirements and source code, evaluates existing Postman test coverage, and generates or updates test automation with an optional draft pull request on GitHub.

Enables AI agents to perform stateful Windows RPC attack-surface research through a persistent PowerShell engine, including RPC parsing, live connections, method invocation, and built-in CVE-2024–2026 methodology tools such as context-handle scanning, fuzzing, and endpoint discovery.

An MCP server that enables fetching YApi interface details via a tool, allowing AI assistants to generate API code based on YApi documentation.

A Node In Layers package that simplifies creation of MCP (Model-Control-Protocol) servers with tools for defining models, adding CRUD operations, and interacting with clients.

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.

This server enables AI agents using MCP to test round-trip communication, roll dice, store and recall in-memory values, verify caller identity via authenticated headers, and make authenticated outbound calls to a backend on behalf of the verified user.

A Cloudflare Worker that demonstrates wrapping REST APIs with Model Context Protocol, providing product management operations through both REST endpoints and MCP tools on the edge.

Enables agents and IDE assistants to validate x402 payment endpoints without shelling out: it fetches a URL unpaid and returns a conformance report on the returned 402 challenge, decodes and classifies base64 payment blobs, and summarises which scheme/network pairs a facilitator can settle.

Connects AI assistants directly to IBM Maximo so they can discover APIs, inspect schemas, query live data, generate Carbon UI, and create, update, or act on Maximo records through natural language.

A stateless gateway that turns any OpenAPI spec into MCP tools on the fly.

Exposes FastAPI endpoints as Model Context Protocol tools, letting MCP clients discover and invoke them over streamable HTTP or SSE while preserving existing routing, auth options, and OpenAPI-to-tool conversion. Works across mcp 1.12+ and 2.x with built-in input validation and tool-level error reporting.

Enables MCP clients to run a locally installed comparison command line over stdio, diffing local files, folders, and API schemas and reporting breaking API changes. Comparisons stay on the user's machine and are confined to configured absolute root directories, with per-invocation timeouts and output limits.

A Model Context Protocol Server that enables LLMs to interact with and execute REST API calls through natural language prompts, supporting GET/PUT/POST/PATCH operations on configured APIs.

A Model Context Protocol server utilizing Claude AI for generating intelligent queries and offering documentation assistance based on API documentation analysis.

MCP server for the Clash of Clans API. Can get player, clan information, analyze ongoing wars, as well as war logs (provided they are public).

A modular dynamic API server based on the MCP protocol that provides rich tool capabilities for AI assistants while significantly reducing prompt token consumption.

Enables interaction with a sample Pet Store API based on OpenAPI 3.1 specification, allowing users to manage pet store operations through natural language commands.