Tools

Use natural language to explore LLM observability, traces, and monitoring data captured by Opik.

Self-hosted MCP server that indexes documentation from various sources and serves it to AI Agents with semantic search.

Deterministic execution engine for AI agents with 412 modules across 78 categories (browser, file, Docker, data, crypto, scheduling). Features execution trace, evidence snapshots, replay from any step, and supports both STDIO and Streamable HTTP transport.

A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events.

Extracts essential code structure from large codebases into AI-digestible format, helping AI agents write code that correctly uses existing APIs on the first attempt.

Confluent integration to interact with Confluent Kafka and Confluent Cloud REST APIs.

Interact with WebScraping.ai for web data extraction and scraping.

SSE-enabled MCP server for remote Obsidian vault management with 29 tools for notes, directories, frontmatter, tags, search, and link operations. Docker-ready with health monitoring.

A swiss-army-knife that can manage/execute programs and read/write/search/edit code and text files.

Persistent graph memory for AI agents. Drop a conversation turn in via `observe_conversation()` and facts are auto-extracted, stored as typed graph nodes with local semantic embeddings (no API key). Supports temporal queries ("what did we decide last week?")

Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.

powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for **any** Kubernetes resource, this server provides specialized tools to interact with your cluster.

Connect any bitcoin lightning wallet to your agent to send and receive instant payments globally.

Self-hosted mem0 MCP server for Claude Code with Qdrant vector search, Neo4j knowledge graph, and Ollama embeddings. Zero-config OAT auth, split-model graph routing, session hooks for automatic cross-session memory, and 11 tools. Supports both Anthropic and fully local Ollama setups.

Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with Optuna.

Self-hosted knowledge backend for AI agents with hybrid vector + keyword search, container-isolated indexes, and 11 MCP tools. .NET, Docker-ready.

Allow AI agents to interact with Alchemy's blockchain APIs.

Cross-chain swaps and bridging across EVM and Solana blockchains via the deBridge protocol. Enables AI agents to discover optimal routes, evaluate fees, and initiate non-custodial trades.

A Jira-like project tracker for AI agents with full hierarchy (Projects > Epics > Tasks > Subtasks), task dependencies with auto-block/unblock, threaded comments, reusable templates, activity logging, and a natural language dashboard. SQLite-backed, 31 tools.

Provides AI agents with detailed type information from .NET projects including assembly exploration, namespace discovery, type reflection, and NuGet integration

MCP server for Indigo Protocol on Cardano — iAsset prices, CDP/loan analytics, stability pools, INDY staking, governance, and DEX data for LLM agents

Integration with QA Sphere test management system, enabling LLMs to discover, summarize, and interact with test cases directly from AI-powered IDEs

Smart web fetcher for AI agents with auto-escalation from HTTP to headless browser to stealth mode. Includes 9 MCP tools: fetch, search, crawl, map, extract, batch, screenshot, jobs, and agent. Achieved 100% success rate on a 30-URL benchmark.

MCP server that gives AI assistants seamless access to shadcn/ui v4 components, blocks, demos, and metadata.

Access institutional-grade alternative financial data directly in your LLM workflows.

Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages

Give AI agents a real phone number and voice. Make outbound calls, handle inbound calls, send email, and manage contacts via 26 MCP tools. ~500ms voice latency (Deepgram Nova-3 + Claude + Cartesia Sonic-3). Install: `pip install spix-mcp`. Free tier available.

Natural Context Provider (NCP). Your MCPs, supercharged. Find any tool instantly, load on demand, run on schedule, ready for any client. Smart loading saves tokens and energy.

MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides tools for listing and applying Kubernetes resources through the MCP protocol.

Memory with provenance tracking — records where agent knowledge originated and detects when sources change. 17 MCP tools for session handoffs, decisions, semantic search, and knowledge graph. Works across Claude Code, Cursor, Windsurf, Codex CLI, and Gemini CLI. Single Go binary, SQLite + vector search, fully local.

Terminal MCP server for AI coding agents with persistent PTY sessions, ring-buffer incremental reads, headless xterm screen capture, multi-agent orchestration, and a real-time web dashboard.

Query, summarize, and trace logs in plain English across GCP Cloud Logging, AWS CloudWatch, Azure Log Analytics, Grafana Loki, and Elasticsearch

AI-powered image editing through Photopea with 34 tools for documents, layers, text, shapes, filters, effects, and export. `npx photopea-mcp-server`

Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

An MCP server to connect with your ZenML MLOps and LLMOps pipelines

MCP-K8S is an AI-driven Kubernetes resource management tool that allows users to operate any resources in Kubernetes clusters through natural language interaction, including native resources (like Deployment, Service) and custom resources (CRD). No need to memorize complex commands - just describe your needs, and AI will accurately execute the corresponding cluster operations, greatly enhancing the usability of Kubernetes.

Provides AI-driven SVG generation and editing via natural language, with real-time updates and secure file handling.

Transform Claude Code with intelligent, real-time access to 90+ framework documentation sources. Get accurate, up-to-date code generation that follows current best practices for React, Next.js, Laravel, FastAPI, Tailwind CSS, and more.

Reduce context usage on file use. Send only unified diffs instead of full files (up to 20-100× fewer tokens), and read large files with targeted `grep`/`sed` instead of full reads (up to 500×). Kernel-enforced path confinement hard-locks the agent to a configured root: no accidental reads or writes outside scope. Standalone for your file access or embed in any MCP server (Rust, Node.js, Python via WASM).

MCP server for the Registry Broker. Discover, register, and chat with AI agents on the Hashgraph network.

🪟 Give hands to AI. MCP server to run shell commands securely, auditably, and on demand on isolated environments like docker.

Map clinical terminology to OMOP concepts using LLMs for healthcare data standardization and interoperability.

Dynamically load Claude Code skills into AI agents without copying files. Discover, read, and install skills on demand.

MCP server for Apache Kafka that allows LLM agents to inspect topics, consumer groups, and safely manage offsets (reset, rewind).

MCP Server for Unity3d Game Engine integration for game development

AI-powered Adaptive Card generation for Teams, Outlook, Copilot, and ChatGPT. 9 MCP tools for generating, validating, optimizing, templating, and transforming cards with accessibility scoring and host compatibility checks.

Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡

Connect LLMs to Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and automatically page large results via local CSV.