PAPI
## PAPI **PAPI keeps you in control of what you're building, across every AI tool you and your team use.** AI coding tools write…
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 111 of 236
## PAPI **PAPI keeps you in control of what you're building, across every AI tool you and your team use.** AI coding tools write…
Design buildings as IFC4 BIM models from a text brief. An AI architect that plans, builds and edits floor plans, walls, doors, windows and…
cloo.be MCP: ofertas do Brasil para assistentes de IA
MCP server built into Seqora, a desktop database client for macOS and Windows. Agents reach your PostgreSQL, MySQL, MariaDB and SQLite connections by name...
VC follow intelligence for AI agents. Track what top investors follow on X — detect new follows, convergence signals, and trending companies before they're…
US real estate data for professionals: multifamily rents and occupancy, property records, demographics and migration for every market, submarket, county...
UK health companion for Claude and ChatGPT: a check-up plan from NICE and NHS guidance, your lab results beside past results with questions for…
Warm Night Fishing (暖夜垂钓) is a blind-play fishing game that uses zero LLM on the server. 5 tools, with
Ranked, live checked startup directories, launch sites, and communities to submit to.
# Xiangguangyu Skills MCP Server A collection of 5 professional AI skills exposed as MCP tools, covering personality analysis, fact-checking, business forensics, game audio…
Check a lead file before import: duplicates, bad emails, MX, websites, and one verdict per row.
LinkedIn job search results with the employer website domain on every row. No login.
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.