"Developing an application by analyzing specified development and API documentation" matching MCP servers:

Enables AI assistants to discover and invoke CRUD tools and read-only resources over the Model Context Protocol for generated API services.

An MCP server that connects AI assistants to YNAB budgets, enabling natural language queries about finances backed by full API coverage and built-in YNAB methodology knowledge.

Enables LLMs to interact with generated CRUD services through MCP tools and resources, so they can create, update, list, and fetch records via a standard protocol. It also provides REST API access from the same codebase for traditional clients.

Enables AI assistants to discover and invoke generated CRUD tools and read-only resources, letting them interact directly with REST-backed services built on Express, Mongoose, or Sequelize.

Enables document Q&A with grounded citations using the official Gemini File Search API. Upload documents, create stores, and ask questions that return exact passage citations.

Turns an OpenAPI spec into a ready-to-run test harness with local LLM agents: WireMock stubs, contract tests, robustness probes, and chaos scenarios you can switch on and off in a running WireMock.

Turn any API into an MCP server. Query in English. Get results—even when the API can't.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Enables MCP clients to browse a live catalog of 100+ models with pricing, rankings and measured uptime, check credits and spend, and send chat completions through an OAuth-authenticated, per-connection key capped by a spend limit. Read tools are free, and paid calls are priced and approved before any credit is used.

Stdio MCP server (Python, standard library only, server.py in this repo) with one tool, analyze_toxicity: scores English text for toxicity, insults, profanity, threats and identity attacks (0 to 1). Perspective API compatible. No LLM.

It gives AI agents one tool to access the Omega-API judge, which evaluates conversational turns and returns a decision and gate action (release, clarify, suppress, or none) to guide the agent's response.

An MCP server that translates natural-language queries into structured catalog searches using Amazon Bedrock, enabling MCP clients to query existing in-house APIs.

MCP server for the XBrush AI media generation API, enabling image, video, audio generation, editing, and more directly from Claude Code via async polling.

Enables AI agents to interact with a Stable Diffusion REST API for image generation, inpainting, model management, and merging.

Bee by HEOSSI exposes 16 MCP tools for specialist chat, code and security analysis, research, provenance, account usage, tenant-scoped documents and memory, quantum job workflows, and computer-host validation. API calls require a Bee API key and follow plan entitlements and metering.

ai-api-pricing-data MCP server

Enables AI coding clients to generate and save project-aware images and videos using existing paid AI subscriptions, without API keys or passwords, and to optimize media for the web.

MCP server that wraps MiniMax platform APIs (speech, video, image, music, and file management) as tools over stdio, enabling natural language interaction with MiniMax's AI services.

MCP server exposing Cursor's HTTP APIs for managing Cloud Agents, Team/Org Admin, Analytics, Bugbot, AI Code Tracking, and Fleet with read-only and read-write modes.

Assists AI coding agents in understanding and implementing UTCP by providing documentation search, manual validation, code generation, OpenAPI conversion, and an LLM-powered expert agent.