MCP servers and skills: search, filter by where they run, and compare.
1–24 of 1,041 tools for “llm-apps”
Clear allClone-and-run AI agents, RAG apps, and MCP servers
Node.jsMITFew starsNo key
Curated collection of LLM apps built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents and more
SkillApache-2.0★ 2Few starsNo key
A modular repository for experimenting with LangChain, LLM-powered Agents, and Autonomous AI Workflows. It contains practical implementations, mini-projects, and research-based prototypes.
SkillMIT★ 1Few starsNo key
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
SkillApache-2.0★ 23kNo key
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecon
OfficialSkillMIT★ 1.3k in collectionNo key
A Model Context Protocol (MCP) server implementation that provides database capabilities for Chroma
OfficialPythonApache-2.0★ 600No key
A command-line interface for interacting with MCP (Model Context Protocol) servers using both stdio and HTTP transport.
GoMIT★ 1.6kNo key
Local-first memory layer for LLM apps and agents. Runs offline on Ollama, sentence-transformers and FAISS; OpenAI and Anthropic optional. Importance scoring, contradiction resolution, confidence-aware
PythonApache-2.0★ 49No key
The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.
SkillMIT★ 563No key
MCP server for enabling LLM applications to perform deep research via the MCP protocol
SkillMIT★ 376No key
Agent skills for Arize — datasets, experiments, and traces via the ax CLI
SkillMIT★ 66No key
Open-source AI phone API for voice agents. Give Claude, Cursor, OpenClaw, or any LLM a real phone number — outbound/inbound calls, SMS, transcripts, MCP, DTMF/IVR. FastAPI + SignalWire + Deepgram. Sel
SkillMIT★ 56No key
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, Gi
PythonApache-2.0★ 17No key
Explainable security gate for LLM apps — blocks prompt injection with an auditable reason for every decision.
PythonApache-2.0★ 16No key
AI security testing — find security vulnerabilities in LLM apps, chatbots, AI agents, MCP servers, and RAG systems. Mapped to OWASP (LLM, Agentic, MCP) and NIST AI RMF.
SkillMIT★ 2Few starsNo key
Long-term memory for AI agents with no LLM call: an MCP server and Claude Code plugin, plus local-first context compression for LLM apps.
PythonMIT★ 23No key
Local-first prompt regression testing and evals for LLM apps.
PythonMIT★ 4Few starsNo key
A defender's field guide to attacks on LLM apps — prompt injection, jailbreaks, system-prompt extraction, data exfiltration — mapped to OWASP LLM Top 10, each with its defense. EN/ES.
SkillMIT★ 2Few starsNo key
Real-time AI safety guardrails for LLM apps. 10 scanners: prompt injection, PII, harmful content, code vulnerabilities, obfuscation detection. Sub-ms latency. Python + TypeScript SDKs. MCP proxy. Clau
PythonApache-2.0★ 25No key
Vendor-neutral token-reduction layer for LLM apps and coding agents: AST code retrieval, prefix caching, compression with a deterministic fact-guard, and cascade. Measured, quality-neutral. Works as a
PythonApache-2.0★ 2Few starsNo key
AI model health monitor for LLM apps – runtime checks for drift, hallucination risk, latency, and JSON/format quality on any OpenAI, Anthropic, or local client.
MCPLink only★ 18
A comprehensive MCP server for the [Tesla Fleet API](https://developer.tesla.com/docs/fleet-api). Control and monitor any Tesla vehicle (Model S/3/X/Y, Cybertruck, Semi) via Claude, Claude Code, Curso
PythonMIT★ 1Few starsNo key
Lightweight local AI workstation management for local agents and LLM apps.
SkillMIT★ 2Few starsNo key
Stdio MCP Server wrapping custom Python runtime (LocalPythonExecutor) from Hugging Faces' `smolagents` framework. The runtime combines the ease of setup (compared to docker, VM, cloud runtimes) while
SkillMIT★ 48No key
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