"An overview of REST (Representational State Transfer)" matching MCP servers:

A small MCP server for relaying or proxying AI endpoints, supporting OpenAI-style and Gemini-style APIs for text and image generation.

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.

Structured reasoning MCP server that decomposes problems into atomic steps (premise, reasoning, hypothesis, verification, conclusion) with confidence scoring, live visualization, and approval feedback.

MCP server providing virtual memory for AI context with durable SQLite storage, retrieval, and bounded prompt assembly to manage context windows.

Enables querying multiple AI models simultaneously and returns all answers unmerged for the user to weigh.

Enables sophisticated reasoning workflows using graph-based representations for AI models.

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 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.

A Model Context Protocol (MCP) server that enables structured multi-path investigations using a Tree of Thoughts approach.

Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.

Provides AI governance and EU AI Act compliance through a council of 12 AIs, enabling risk management, transparency, bias detection, and content watermarking.

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

Enables agents and no-code workflows to ask citation-backed questions against indexed sources, generate Studio artifacts like audio, video, infographics, reports, presentations and study aids, and run large batches across multiple accounts with automatic re-authentication. It exposes all of this both as MCP tools and as a 33-endpoint local HTTP REST API.

Enables users to drive a connected ComfyUI instance from a chat client, submitting generations, reviewing results, and adjusting workflow parameters, while exposing OAuth-protected MCP and REST endpoints for remote, authenticated control.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

An MCP server that provides authorization middleware for AI agents using private data, enabling consent management on Aleo and local private inference with persistent policy storage.

An AI-driven platform for analyzing Polymarket prediction markets using on-chain data, offering smart money tracking, sentiment analysis, and arbitrage detection via natural language queries.

Account-less access to 45 Gemini models & autonomous agents, 71 edge microservices across 6 modular domain packages via L402, x402, MPP.

Enables account-less access to all 45 Google Gemini models and autonomous agents for text generation, multi-step reasoning, deep research, image/video/audio generation, grounded search, and embeddings via L402, x402, and MPP.

Enables developers to repair malformed JSON, synthesize ReDoS-safe regexes, compile XML system prompts, enforce JSON Schema, verify context compaction, audit hallucinations, and sanitize CSV/JSON data through a scoped streamable-http endpoint.

Five-layer agent memory over MCP. zenbrain_store routes each memory: steps to a procedure, emotional weight to an episode, high confidence to a pinned core memory, the rest to a semantic fact. zenbrain_recall returns results with id and layer; zenbrain_forget deletes one plus what consolidation linked to it; zenbrain_consolidate runs one sleep-like pass. Local SQLite, no account, no network call.

Enables Claude Code agents and subagents to get an independent read-only review of their changes from OpenAI Codex and to continue that same Codex conversation later for re-checks. Runs each request in an isolated CODEX_HOME so those threads stay separate from the Codex desktop app, supporting parallel callers and per-call model, effort, sandbox, and timeout settings.

Provides local, deterministic scoring and detailed auditing of text for AI-writing patterns via two read-only tools, with no network calls or language models.

Enables multi-level reasoning with configurable depth levels, session-based state management, structured thought input, and real-time trace resources.

A code-execution MCP server for Klaviyo and Shopify analytics, enabling safe JavaScript execution in a V8 sandbox with state persistence across calls.

Enables analysis of an image's optical properties (color temperature, light vectors, luminance dynamics) and generation of physically grounded relighting variants, harmonized composites with contact shadows, and calibrated diffusion prompts for GPT Image and Nano Banana targets.

Predicts the outcome of Dutch court cases dismissed, partly granted, or granted using a model trained on 609,715 rulings, with the outcome leakage measured and removed: 92% of Dutch judgment texts state the outcome verbatim, 0.1% remains after the cut, giving 78.2% accuracy against a 43.7% majority baseline. The lekkage_check tool exposes that same measurement so anyone can test a datase

Enables AI agents to perform dynamic and reflective problem-solving through a chain of thoughts, allowing them to break down complex problems, revise past thoughts, and explore logic branches before reaching a conclusion.

Provides a standardized interface for accessing WaveSpeed's image and video generation capabilities through the MCP protocol.

Lets MCP clients ask typed questions — yes/no, choice, or score — about structured state, including images, and receive calibrated probabilities from System One decision models such as TypeSafe Jev and Cloudflare Clef. Supports TypeSafe, OpenRouter, and local providers selectable per request, with input validation and cost reporting.