"Overview of AWS Services" matching MCP servers:

Provides tools for discovering, building, deploying, and troubleshooting AWS Deep Learning Containers (DLC) images. Supports multiple frameworks and instance recommendations.

Automates the AWS Foundational Technical Review (FTR) partner self-assessment by evaluating SOC 2 and WAFR reports against defined controls, returning structured PASS/FAIL decisions with reasoning.

Enables natural language control of AWS resources (EC2, Security Groups, S3, Bedrock, etc.) directly from Claude Desktop or Claude Code.

Provides a comprehensive suite of tools for interacting with AWS services like S3, EC2, and Lambda using natural language commands. It enables AI assistants to inspect, manage, and operate AWS resources directly through the Model Context Protocol using your local credentials.

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

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 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.

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.

Routes questions to a council of AI models (local and cloud) and synthesizes their answers in five configurable modes: individual, categorized, deconflicted, pooled, and dialectic.

Registry of 37 vetted single-file utilities for LLM and agent code (rate limiters that respect Retry-After, JSON repair, response caches, retry with backoff, token counters, PII scrubbers). 4 MCP tools: list_utilities, search_utilities, get_utility_info, install_utility.

Rewrites resumes to beat ATS screening (Workday, Greenhouse, iCIMS, Taleo) against a specific job description, with strict truthfulness guardrails — never invents dates, metrics, titles, or seniority. Pay-what-you-want access codes ($0 works).

Enables MCP clients to run multi-model deliberation (Fusion) via background jobs, using a panel of models and a judge to synthesize high-quality answers.

MCP server for Hubris, an OpenAI-compatible LLM gateway billed in rubles. Exposes the catalogue of 500+ models with ruble pricing, the account balance, and chat completions with full parity to POST /v1/chat/completions.

Provides a sequentialthinking tool for dynamic, reflective problem-solving via chain-of-thought reasoning. Supports local Stdio and remote SSE deployment on Google Cloud Run.

Provides structured OCR with verified bounding boxes using the space-ocr API. Allows extraction of structured fields from document images and listing of built-in templates.

Enables discovery and invocation of AI agents from the ForceDream platform. Provides cryptographic verification of agent outputs for trustless task integrity.

MCP server for multi-provider AI image generation (AWS Bedrock, OpenAI, Google Gemini) enabling image generation, transformation, and editing through a unified interface.

An MCP server that provides comprehensive data verification in China, including identity, business, vehicle, OCR, and risk assessment services.

Pay-per-use IBM Granite AI over MCP — chat, code, embeddings, analysis, and forecasting, billed in USDC on Solana. No IBM account required.

MCP server for generating diagrams, charts, and visualizations using Gemini image generation on Vertex AI. Supports auto-detection of diagram types, multiple style modes, and iterative refinement.