Tools

Cognitive memory for AI agents with Atkinson-Shiffrin memory model (STM/LTM/sensory register), semantic RAG, Ebbinghaus decay, trust scoring, and 76+ MCP tools.

The absolute trainer to light up AI agents.

Token-efficient Go documentation server that provides AI assistants with smart access to package docs and types without reading entire source files

Agent-first programming language: agents produce JSON AST, the compiler validates, type-checks, effect-checks, verifies contracts via Z3/SMT, and compiles to WASM. 19 MCP tools for the full compile-and-execute loop.

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

Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23

AI API cost tracking and budget enforcement across 11 LLM providers. 6 tools for spend analytics, budget monitoring, session summaries, and key management.

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

Persistent 4-tier AI memory (episodic, semantic, project, procedural) with temporal scoring, contradiction detection, entity tracking, and real-time desktop visualization orb.

Control Android devices with AI through MCP, enabling device control, debugging, system analysis, and UI automation with a comprehensive security framework.

Five-level AI collaboration system with persistent memory and anticipatory capabilities. MCP-native integration for Claude and other LLMs with local-first architecture via MemDocs.

The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents

RAG for PDFs, YouTube, GitHub repos, Discord exports; index documents and query with citations.

Atlassian Confluence Cloud integration. Enables AI systems to interact with Confluence spaces, pages, and content with automatic ADF to Markdown conversion.

Allows AI models to interact with HackMD

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

IMAP/SMTP email MCP server with 42 tools for reading, searching, sending, scheduling, and managing emails across multiple accounts. Supports IMAP IDLE push, AI triage, desktop notifications, and auto-detects providers like Gmail, Outlook, and iCloud.

AdalFlow: The library to build & auto-optimize LLM applications.

An ntfy MCP server for sending/fetching ntfy notifications to your self-hosted ntfy server from AI Agents (supports secure token auth & more - use with npx or docker!)

Record development decisions as structured JSON, embed as vectors via Gemini, and search semantically over MCP. Shared store across Claude Code, Cursor, Windsurf, and any MCP client. CLI + MCP server, local-only, free Gemini embedding tier.

Real-time world news for AI agents — events clustered from hundreds of sources, classified by topic and geography, ranked by importance. Free, no API key. `npx -y @newsmcp/server`

Annotates any web page with hover labels for AI assistants — reverse proxy injection, zero browser extensions. `npx @mcpware/ui-annotator`

Multi-agent AI consultation framework for Claude Code. Three MCP servers wrapping CLI tools (Codex, Gemini, Qwen) for parallel code review and problem-solving with fallback chains and error detection. Includes ready-to-use Claude Code skill.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Vane is an AI-powered answering engine.

Self-evolving MCP server that generates and improves its own tools at runtime. Built on FastMCP, Janee uses LLM-driven tool generation to dynamically create, test, and refine MCP tools from natural language descriptions — enabling AI agents to extend their own capabilities on the fly.

playwright for windows computer use

An MCP Server and VS Code Extension which enables (language agnostic) automatic debugging via breakpoints and expression evaluation.

AlibabaCloud CloudOps MCP Server

Generate visual charts using Apache ECharts with AI MCP dynamically.

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.

Audit URLs for AI crawler readiness — checks robots.txt, llms.txt, JSON-LD schema, and content density with 0-100 AEO scoring.

Manage Proxmox VE clusters through AI assistants — VMs, containers, snapshots, templates, cloud-init, firewall, and migrations. 29 tools with two-step confirmation for destructive operations.

Static server that provides persistent tool-specific context and rules for AI models

Your AI second brain. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI.

Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.

Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns.

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.

WFGY is an open-source AI Troubleshooting Atlas for RAG, agents, and real-world AI workflows. Includes the 16-problem map, Global Debug Card, and WFGY 4.0. ⭐ Star to help more builders find this repo.

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

Atlassian Bitbucket Cloud integration. Enables AI systems to interact with repositories, pull requests, workspaces, and code in real time.

Security-hardened Chrome automation with post-quantum encryption (ML-KEM-768 + ChaCha20-Poly1305), secure credential vault, memory scrubbing, and audit logging. 22 tools for browser automation and secure logins.

Local FAISS vector database for RAG with document ingestion (PDF/TXT/MD/DOCX), semantic search, re-ranking, and CLI tools for indexing and querying