TopologicPy MCP Server

TopologicPy MCP Server

Enables LLMs to perform architectural spatial modeling through natural language, including creating, manipulating, and analyzing 3D building models using TopologicPy.

Category
Visit Server

README

TopologicPy MCP Server

A Model Context Protocol server that exposes TopologicPy TopologicPy-docs's spatial modeling capabilities to LLM agents like Claude Code, Claude Desktop, and other MCP clients. This was created to assist us in developing further tools around Topologic and TopologicPy

What This Enables

Ask Claude (or any MCP-equipped LLM) to build architectural models through natural language:

"Create a 3-storey office building, 12m × 20m with 3.5m floor heights, then show me the adjacency graph and export to IFC"

The MCP server translates these requests into precise TopologicPy operations, maintaining a named object session across the conversation.

Architecture

┌─────────────────────────────────────────────────┐
│              MCP Client (Claude Code, etc.)       │
│  Natural language ↔ tool calls                   │
└────────────────────┬────────────────────────────┘
                     │  MCP Protocol (stdio/SSE)
                     ▼
┌─────────────────────────────────────────────────┐
│            TopologicPy MCP Server                │
│  ┌───────────────────────────────────────────┐  │
│  │  Session Store (named topology objects)    │  │
│  │  • "building" → CellComplex               │  │
│  │  • "floor_0"  → Cell                      │  │
│  │  • "graph"    → Graph                     │  │
│  └───────────────────────────────────────────┘  │
│                                                  │
│  Tools: create, boolean, transform, query, I/O   │
│  Resources: session state, BREP strings          │
│  Prompts: building envelope, adjacency, grids    │
└────────────────────┬────────────────────────────┘
                     │
                     ▼
┌─────────────────────────────────────────────────┐
│                  TopologicPy                     │
│  Vertex → Edge → Wire → Face → Shell → Cell     │
│  CellComplex → Cluster → Graph → Dictionary     │
│  OpenCASCADE (BREP) • IfcOpenShell (IFC)        │
└─────────────────────────────────────────────────┘

Available Tools (36 tools)

Creation

Tool Description
create_vertex Create a point at (x, y, z)
create_edge Line segment between two vertices
create_wire Polyline from ordered vertices
create_face_by_wire Face from a closed wire
create_face_rectangle Rectangular face
create_face_circle Circular face (polygon approximation)
create_cell_by_faces 3D solid from bounding faces
create_cell_prism Box / rectangular prism
create_cell_cylinder Cylindrical cell
create_cellcomplex_by_cells Merged cell assembly (shared boundaries)
create_cluster Unstructured collection

Boolean Operations

Tool Description
boolean_union A ∪ B
boolean_difference A − B
boolean_intersect A ∩ B
self_merge Resolve self-intersections

Transformations

Tool Description
translate Move by vector
rotate Rotate around axis
scale Scale relative to origin

Query & Analysis

Tool Description
list_topologies List all named objects in session
query_topology Detailed info (counts, centroid, volume, area)
get_vertices Extract vertex coordinates
get_sub_topologies Extract and optionally store sub-elements

Graph Operations

Tool Description
create_graph_from_topology Dual/adjacency graph
graph_shortest_path Shortest path between vertices

Dictionary (Metadata)

Tool Description
set_dictionary Attach key-value metadata
get_dictionary Read attached metadata

Import / Export

Tool Description
export_brep Export to BREP string/file
import_brep Import from BREP string/file
export_obj Export triangulated mesh (OBJ)
export_ifc Export to IFC (BIM)
import_ifc Import from IFC file

Session Management

Tool Description
remove_topology Delete from session
rename_topology Rename an object
copy_topology Deep copy with new name

Installation

With uv (recommended)

cd topologic-mcp-server
uv venv
source .venv/bin/activate
uv pip install -e .

With pip

cd topologic-mcp-server
pip install -e .

Usage

With Claude Code

Add to your Claude Code MCP configuration (~/.claude/claude_code_config.json):

{
  "mcpServers": {
    "topologic": {
      "command": "python",
      "args": ["-m", "topologic_mcp"],
      "cwd": "/path/to/topologic-mcp-server"
    }
  }
}

Or using uv directly:

{
  "mcpServers": {
    "topologic": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/topologic-mcp-server", "topologic-mcp"]
    }
  }
}

With Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "topologic": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/topologic-mcp-server", "topologic-mcp"]
    }
  }
}

Standalone (stdio transport)

python -m topologic_mcp

With MCP Inspector (for testing)

mcp dev src/topologic_mcp/server.py

Example Conversations

Create a simple building

User: Create a 3-storey building, 10m × 15m, 3m floor height

Claude: [calls create_vertex, create_cell_prism × 3, translate × 2,
         create_cellcomplex_by_cells, query_topology]

Result: CellComplex "building" with 3 cells, 16 faces, 33 edges, 20 vertices

Analyze spatial adjacency

User: Show me which floors share faces in the building

Claude: [calls create_graph_from_topology with via_shared_faces=True,
         get_sub_topologies to list cells, query each cell]

Result: Graph with 3 vertices (one per floor) and 2 edges
        (floor_0↔floor_1, floor_1↔floor_2)

Boolean operations

User: Cut a 2m diameter hole through the middle of floor_1

Claude: [calls create_cell_cylinder for the hole, translate to position,
         boolean_difference to subtract from floor_1]

Result: Updated floor_1 with cylindrical void

License

GPL-3.0-or-later (matching TopologicPy's license)

Contributing

This server wraps TopologicPy's pure-Python API. To add new tools:

  1. Add a @mcp.tool() decorated function in server.py
  2. Follow the naming convention: verb_noun (e.g., create_vertex, export_brep)
  3. Always accept ctx: Context as the first parameter
  4. Use the TopologyStore from ctx.request_context.lifespan_context
  5. Return descriptive strings (the LLM reads these)

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured