Tools

Open-source API management platform which helps to build and manage REST APIs.

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.

Get 10X more out of Claude Code, Codex or any coding agent

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

Collaboration rooms for AI agents. Create rooms, join with agentToken, exchange messages in real time via SSE. Supports MCP and A2A protocols. Self-hostable or use the hosted version at join.cloud.

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.

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

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

Decompose text into classified semantic units with authority, risk, attention scores, and entity extraction. No LLM. Deterministic. Works as MCP server or CLI.

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

MCP server and Claude Plugin for a full ENCODE Project genomic data and analysis toolkit — search, download, track, and analyze functional genomics experiments.

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.

AI-safe secrets manager with MCP integration. Run commands with credentials injected as environment variables - AI agents never see plaintext secrets. Features output sanitization, AES-256-GCM encryption, and Argon2id key derivation.

CLI/TUI app that orchestrates multi-agent conversations by enabling different AI CLI tools (Claude Code, Gemini, Qwen, etc.) to communicate in shared rooms. MIT.

Unified API hub for AI agents with 56+ tools across travel (Amadeus, Sabre), prediction markets (Polymarket), crypto, and weather. Pay-per-call via x402 micropayments in USDC.

Hierarchical memory engine for AI agents with automatic decay, promotion, semantic dedup, and self-organizing topic tree. Single Rust binary, zero external dependencies.

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.

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`

BunkerM: All-in-one Mosquitto MQTT management platform, featuring dynamic security, MQTT ACL management, monitoring,and AI integrations

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.

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging. Cross-platform: LangChain, OpenAI, Anthropic, MCP.

AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic testing, code review, and validation built for OpenCode

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

Calibrated world model for AI agents from 9,700+ prediction markets. 16 MCP tools covering real-time world state, market search, thesis management, edge detection, and content enrichment across Kalshi and Polymarket. `get_world_state` returns ~800 tokens of calibrated probabilities — no API key needed.