ckg-nemotron-perplexity
NVIDIA Nemotron + Perplexity Sonar as traversable knowledge graphs — 2 domains, 83 nodes, MCP-native agent traversal.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2827 servers · Page 147 of 236
NVIDIA Nemotron + Perplexity Sonar as traversable knowledge graphs — 2 domains, 83 nodes, MCP-native agent traversal.
ProductClank MCP Server — Claude custom connector for Communiply campaigns.
MCP budget and risk authority for Cycles — runtime governance for Claude, Cursor, and Windsurf.
## ⚙️ Jadx MCP Plugin — Decompiler Access for Claude via MCP This project provides a [Jadx](https://github.com/skylot/jadx) plugin written in **Java**, which exposes the…
# REAPER MCP Server A Model Context Protocol (MCP) server that enables AI agents to control REAPER DAW — 58 tools covering project management…
Pickle is the free AI ops manager for ClickUp, Slack and Teams. It catches what slips through: stale tasks, dropped promises, decisions lost in…
MCP server for checking RU counterparties via FNS open data (EGRUL/EGRIP, EFRSB, KAD, FSSP).
All 25 agents.oromi.co.uk pay-per-call tools in any MCP client (Claude Desktop, Claude Code, Cursor). 30 tools, with
# McGravity **Fast, opinionated TUI for AI-assisted coding.** McGravity orchestrates AI coding tools (Claude Code, Codex, Gemini) in a tight feedback loop: **plan small…
# Graphiti MCP Server Fork of the [getzep/graphiti](https://github.com/getzep/graphiti) example with a focus on developer experience and multi‑project support. Graphiti extracts entities and relationships from…
Norwegian dental clinic directory as an MCP server: ~6,900 clinics with. 5 tools, with
# Square Model Context Protocol Server (Beta) This project follows the [Model Context Protocol](https://modelcontextprotocol.com/) standard, allowing AI assistants to interact with Square's connect API.…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.