Provides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.
MCP servers in your Rails app
全面解析MCP RailsMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Rails能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
The MCP bridge that audits your routes before exposing them to LLMs and blocks prompt-injection at runtime.
Enables querying and retrieving experimental protein structures from the RCSB Protein Data Bank, including text search, full entry records, polymer entities, ligands, and assemblies.
Enables direct integration with Zentao bug tracking systems through Cursor. Supports authentication, bug retrieval, searching, and listing operations for comprehensive bug management through natural language.
A Model Context Protocol (MCP) server that automatically discovers, fetches and processes react components from popular react libraries like Aceternity and Shadcn
MCP server that combines Read+Edit file operations into single tool calls. 80-95% fewer tool calls formulti-file refactoring across Claude, Cursor, Windsurf, and more.
MCP server for reading JSON knowledge bases without modifications
Enables searching and accessing Readwise highlights and documents through HTTP endpoints using the Model Context Protocol. Provides vector and full-text search capabilities with streaming responses for retrieving reading highlights and notes.
A starter template for building Model Context Protocol servers that integrate with AI assistants like Claude and Cursor, providing custom tools, resource providers, and prompt templates.
A production-ready reasoning engine that integrates Claude AI with specialized MCP tools for knowledge retrieval, schema validation, and domain-specific rubric evaluation. It enables structured RAG-based analysis across legal, health, and science domains via a RESTful API.
Tellix is a conversational recon interface powered by httpx and LLMs. Just ask.
Local-first CLI and MCP server for redacting sensitive text before sharing logs, configs, and errors with AI tools.
Enables interaction with Redash through its API to execute SQL queries, retrieve results, and manage data sources. It allows users to query data and explore data sources directly through natural language interfaces.
A locally-run MCP server that enables downloading images, videos, and LivePhotos from Xiaohongshu (RedNote) and retrieving detailed work information through URL-based queries.
MCP server for verifying academic citations via Semantic Scholar, OpenAlex, and CrossRef.
Provides a suite of regex and text processing tools for AI agents, including pattern testing, extraction, and replacement with capture group support. It also enables various text transformations like case conversion, line sorting, and deduplication through the Model Context Protocol.
A central registry MCP server that routes requests to specialized AI services including embeddings, PDF extraction, reranking, vector search (Qdrant), PostgreSQL, LLM completions, markup, and transcription. Includes a proxy server with RAG pipeline for document processing and retrieval.
A Registry for a MCP Servers
