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tapir-archicad-MCP MCP Server

SzamosiMate/tapir-archicad-MCP

Score: 86.5 → 0% Rank #679 MCP Server
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MCP server that exposes all Tapir commands to AI models through autogenerated tools

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claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

SzamosiMate/tapir-archicad-MCP is a Python MCP server licensed under MIT. MCP server that exposes all Tapir commands to AI models through autogenerated tools

Ranked #679 out of 24846 indexed tools.

In the top 3% of all indexed tools.

Ecosystem

Python MIT 1,268 pypi/wk

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 117

117 stars → growing community

Freshness 25% 20d ago

Last commit 20d ago → recently updated

Issue Health 25% 100%

8/8 issues closed → responsive maintainer

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 1,268/wk

1,268 weekly installs → gaining traction

Forks 27
Description Good
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

Install in your agent

claude mcp add tapir-archicad-mcp -- uvx tapir_archicad_mcp
codex mcp add tapir-archicad-mcp -- uvx tapir_archicad_mcp
{"mcpServers":{"tapir-archicad-mcp":{"command":"uvx","args":["tapir_archicad_mcp"]}}}
hermes mcp add tapir-archicad-mcp --command uvx --args tapir_archicad_mcp

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Matched Queries

"mcp server""mcp-server"

From the README

# Archicad Tapir MCP Server

This project provides a Model Context Protocol (MCP) server for Archicad. It acts as a bridge, allowing AI agents and applications (like Claude for Desktop) to interact with running Archicad instances by wrapping both the community-driven **Tapir API** and the **official Archicad JSON API**.

The server dynamically generates a comprehensive set of **191+** MCP tools from the combined API schemas, enabling fine-grained control over Archicad projects.

## Key Features

-   **Pydantic-Powered Runtime Validation & Schema Generation:** Every tool's input and output shapes are backed by rigorous Pydantic models. The server dynamically compiles these into detailed JSON Schemas for the AI agent to inspect, and strictly validates all incoming tool arguments at runtime *before* forwarding them to Archicad. It handles complex models, Union types, and TypeAliases seamlessly.
-   **Progressive Tool Discovery (CLI-style):** The server uses a deterministic workflow (`arch
Read full README on GitHub →

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