"Better Stack" matching MCP servers:

A Model Context Protocol server that connects GitHub code to Claude.ai. This server utilizes the Pera1 service to extract code from GitHub repositories and provide better context to Claude.

An MCP server that provides long-term memory and semantic search using Qdrant and OpenAI embeddings, with tools for storing, searching, and managing knowledge.

MCP memory server for AI agents that gets better with use

MCP server to search across NVIDIA blogs and releases to empower LLMs to better answer NVIDIA-specific queries.

Turn YouTube, TikTok, X videos and websites into structured data. Skip the hassle of video transcription and data scraping. Our APIs help you build better software and AI products faster.

A Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.

A Model Context Protocol server that enables semantic search capabilities by providing tools to manage Qdrant vector database collections, process and embed documents using various embedding services, and perform semantic searches across vector embeddings.

A client-server browser automation solution that reduces HTML token usage by up to 90% through semantic snapshots, enabling complex web interactions without exhausting AI context windows.

Enables interaction with Aiven cloud services including PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch. Allows LLMs to list projects, services, and retrieve service details to build full-stack solutions across the Aiven ecosystem.

Enables semantic search across PostgreSQL, TimescaleDB, and PostGIS documentation to help AI coding assistants write better PostgreSQL code.

Read-only MCP server that lets AI agents query SageRead data: books, reading progress, stats, notes, AI chats, papers, and semantic vector search, with API keys staying inside the app. Supports both Better SageRead and upstream SageRead data directories.

MCP server that lets Claude analyze huge files (logs, dumps, etc.) via a sandboxed Python REPL and recursive language models, keeping content out of the prompt. Zero-setup with Claude Code login, Docker sandbox by default, and tools for loading, searching, chunking, and querying large contexts.

Turns any URL into structured web intelligence in one call: SEO/OpenGraph metadata, public contacts, tech-stack fingerprinting, Schema.org data, a security-headers audit, and clean AI-ready Markdown. Anti-SSRF hardened by design.

Minimal local RAG stack with an MCP server that provides document search for any agent.

Enables intelligent file search with Git-like staging and indexing, offering semantic and hybrid search for documents, and integrates with Claude Desktop via MCP.

Provides a local groundedness verifier as an MCP server, returning a verdict on whether a draft answer is supported by provided document excerpts.

Enables users to connect and run Stack AI workflows directly through MCP-compatible clients. It allows for passing user inputs to specific projects and receiving structured responses from deployed AI applications.

A local-embeddings RAG + Model Context Protocol server that provides retrieval-backed knowledge of the Wawona stack to Cursor models.

A local MCP server that helps the Payments team by querying microservice specs, payment flows, triaging CS tickets with GCP analysis, and calling Stark Bank APIs in development/sandbox environments.

Farnsworth gives Claude persistent memory and autonomous agent capabilities. It runs locally and provides Hierarchical Memory (Working -> Episodic -> Archival), a Multi-Model Swarm (combining Ollama models for better reasoning), and specialized agents for Web Browsing, Vision (CLIP), and Voice (Whis