MCP Servers

MCP server that transcribes YouTube videos to text. Uses yt-dlp to download audio and OpenAI's Whisper-1 for more precise transcription than youtube captions. Provide a YouTube URL and get back the full transcript splitted by chunks for long videos.

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

This is a Python-based MCP server that provides OpenAI websearch built-in tool.

MCP for LLM to search and read papers from arXiv

Add RAG-powered AI chat to any website with one command. Local vector store, multi-provider LLM (OpenAI/Anthropic/Gemini), self-contained chat server and embeddable widget.

TypeScript MCP server for OpenAI Images/Videos and Google GenAI (Veo) media generation, editing, and asset downloads.

A MCP server that allows one to examine image metadata like EXIF, XMP, JFIF and GPS. This provides foundation for LLM-powered search and analysis of photo librares and image collections.

Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.

Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources

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.

Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.

LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE).

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

An MCP server that stores and retrieves memories from multiple LLMs using MongoDB. Provides tools for saving, retrieving, adding, and clearing conversation memories with timestamps and LLM identification.

An MCP server that enables cross-LLM communication and memory sharing, allowing different AI models to collaborate and share context across conversations.

LLM API pricing comparison and benchmarks across 100+ models from 30+ providers including OpenAI, Anthropic, Google, and Meta. No API key required.

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

Double entry plain text accounting, right in your LLM! This MCP enables comprehensive read, and (optional) write access to your local HLedger accounting journals.

🎖️ - MCP tool access to MarkItDown -- a library that converts many file formats (local or remote) to Markdown for LLM consumption.

Share code context with LLMs via MCP or clipboard

🎖️ - MCP server for the Dingo: a comprehensive data quality evaluation tool. Server Enables interaction with Dingo's rule-based and LLM-based evaluation capabilities and rules&prompts listing.

Build iOS Xcode workspace/project and feed back errors to llm.

First & only persistent project context MCP. Provides .faf (Foundational AI-context Format) Project DNA with 33+ tools, Podium scoring (0-100%), and format-driven architecture. Official Anthropic Registry. 10k+ npm downloads.

Token usage tracker for OpenAI and Claude APIs with MCP support, real-time session tracking, and accurate pricing for 2025 models