Capacities×MCP
An MCP server for querying Solana transactions using natural language with Solscan API
AI-Powered Threat Intelligence MCP tool
A MCP server providing realistic browser-like HTTP request capabilities with accurate TLS/JA3/JA4 fingerprints for bypassing anti-bot measures. It also supports converting PDF and HTML documents to Markdown for easier processing by LLMs.
PDF RAG server for cursor.
A Model Context Protocol server that provides access to Shodan API functionality
An MCP server implementation enabling LLMs to work with new APIs and frameworks
MCP server that enables language models to interact with RDKit through natural language
Enable AI assistants to explore and query your Steampipe data!
Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models
This project provides a toolset to crawl websites wikis, tool/library documentions and generate Markdown documentation, and make that documentation searchable via a Model Context Protocol (MCP) server, designed for integration with tools like Cursor.
MCP Server implementation for the Model Context Protocol (MCP) enabling AI tool usage - Realtime Flight Search
An MCP server allowing LLMs to interact with Ansys/AGI STK - Digital Mission Engineering Software
A mcp server provide infomation from pkg.go.dev. For all golang programmers
A Model Context Protocol for checking domain name registration status in bulk.
A Serper MCP Server
The Okta MCP Server is a groundbreaking tool built by the team at Fctr that enables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP). Built specifically for IAM engineers, security teams, and Okta administrators, it implements the MCP specification to help work with Okta enitities

A Nostr MCP server that allows to interact with Nostr, enabling posting notes, and more.
A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.