Каталог AI-сервисов

Domain availability checking and WHOIS lookup tools.

Remote, no-auth MCP server providing AI-powered codebase context and answers

MCP server for the Computer-Use Agent (CUA), allowing you to run CUA through Claude Desktop or other MCP clients.

Official CoinGecko API MCP Server for Crypto Price & Market Data, across 200+ blokchain networks and 8M+ tokens.

MCP Server that connects AI agents to Chargebee platform.

Flag features, manage company data, and control feature access using Bucket

Generate images using Amazon Nova Canvas with text prompts and color guidance.

Fetch, convert, and search AWS documentation pages, with recommendations for related content.

Analyze CDK projects to identify AWS services used and get pricing information from AWS pricing webpages and API.

Core AWS MCP server providing prompt understanding and server management capabilities.

Get prescriptive CDK advice, explain CDK Nag rules, check suppressions, generate Bedrock Agent schemas, and discover AWS Solutions Constructs patterns.

Query Amazon Bedrock Knowledge Bases using natural language to retrieve relevant information from your data sources.

Official MCP Server from Atlan which enables you to bring the power of metadata to your AI tools

Comprehensive framework documentation and code examples for popular development tools and libraries.

An AI voice toolkit with TTS, voice cloning, and video translation, now available as an MCP server for smarter agent integration.

Track and monitor AI agent mindshare across platforms - measure brand visibility in AI conversations with Agent Mindshare.

Dynamic and reflective problem-solving through thought sequences

Knowledge graph-based persistent memory system

Tools to read, search, and manipulate Git repositories

Secure file operations with configurable access controls

Web content fetching and conversion for efficient LLM usage

WhatsMCP

one of the very first AutoML methods and open-source software packages.

Open source AI-powered multi-cluster Kubernetes dashboard for managing LLM workloads across hybrid edge and cloud environments. GPU monitoring, benchmark streaming, real-time observability with 20+ CNCF integrations, and AI-guided cluster operations. CNCF Sandbox project.

Rich dashboards, reports, and UMAP to perform root cause analysis, pinpoint problem areas, like correctness, safety, and privacy issues, and improve LLM outcomes.

Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost

Managed PostgreSQL with pgvector for AI workloads. Built-in SQL editor lets you query your database with natural language (auto-converted to vector embeddings). Free tier includes 2GB storage.

A suite of LLMOps tools within the developer-first W&B MLOps platform. Utilize W&B Prompts for visualizing and inspecting LLM execution flow, tracking inputs and outputs, viewing intermediate results, securely managing prompts and LLM chain configurations.

All In One Dev Platform For LLM Apps. Deploy LLM-enhanced APIs seamlessly using tools for prompt optimization, semantic querying, version management, statistical evaluation, and performance tracking. As a part of the developer friendly API implementation TreeScale offers Elastic LLM product, which

LLM routing gateway for OpenClaw. One API key to access Claude, GPT-4o, Gemini, DeepSeek, Kimi, MiniMax. Smart routing modes (teamo-best, teamo-balanced, teamo-eco) auto-pick the optimal model. Up to 50% off official prices. 2-second install via skill.md.

The Git-Based LLM Engineering Platform. Achieve more from GenAI: Manage, evaluate, and improve your full-stack LLM application - with version control, type-safety, and local development built-in.

Prompt management system. Version, test, collaborate, and retrieve prompts through real-time APIs. Have GitHub style with repos, branches, and commits (and commit history).

The simple prompt engineering and evaluation tool designed for developers building AI applications.

Full stack prompt management tool designed to be usable by technical and non-technical team members. Test, version, collaborate, deploy, and monitor, all from one place.

Platform and SDK for AI Engineers providing tools for LLM evaluation, observability, and a version-controlled enhanced prompt playground.

Your all-in-one prompt management and observability platform. Craft, track, and perfect your LLM prompts with ease.

Multi-modal LLM observability and evaluation platform. Create prompt templates, deploy prompts versions, debug LLM runs, create datasets, run evaluations, monitor LLM metrics and collect human feedback.

An open-source framework for the end-to-end machine learning lifecycle, helping developers track experiments, evaluate models/prompts, deploy models, and add observability with tracing.

Prompt management tools for teams. Store, improve, test, and deploy your prompts in one unified workspace.

Bring a human into the loop in your LLM-based and agentic workflows. Prompt users to approve actions, select next steps, or review and validate generated results.

Enjoy unlimited API calls with Serverless AI Workers/LLMs for just $25 per month. No rate or concurrency limits.

Runtime monitoring for AI agents — heartbeat watchdog, loop detection, cost tracking, auto-restart. Python SDK or HTTP API.

Serverless open-source platform for building long-running LLM agents with tool use.

A compact ~450M parameter VLA by Hugging Face, designed to be computationally efficient and accessible, running on consumer GPUs or CPUs. Part of the LeRobot ecosystem.

Gemma is a family of lightweight, open models built from the research and technology that Google used to create the Gemini models.

An open-source set of focused agent skills for designing, implementing, testing, reviewing, and shipping software changes.

a benchmark that evaluates large multimodal models (LMMs) on their ability to perform human-like mathematical reasoning.

a benchmark platform designed for evaluating large language models (LLMs) on a range of tasks, particularly focusing on their performance in different aspects such as natural language understanding, reasoning, and generalization.