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0 serversUpdated Sep 16, 2026

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Searchable catalog of Model Context Protocol servers. Find tools that connect your AI assistant to the services and data you use.

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Construction field

Coordinate the job site from chat: Procore project data, takeoff helpers, knowledge graphs, and map context.

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Servers in this stack

  1. 1T

    TylerIlunga/procore-mcp-server

    MCP server exposing the full Procore REST API (2,636 endpoints) for construction project management. Includes 7 discovery and execution tools covering projects, RFIs, submittals, daily logs, budgets, and more. Single-user OAuth with auto-refresh.

    Product Management

    0
  2. 2K

    Kentucky-ai/opentakeoff

    Construction plan takeoff on stdio — load a plan PDF, read the title block, adopt the drawing scale (never applied silently), one-click trace rooms, and export real-world quantities (square footage, linear feet, counts) with provenance receipts. Install via NPM: `npx -y opentakeoff-mcp`

    Architecture & Design

    0
  3. 3Y

    Yarmoluk/ckg-mcp

    Compressed Knowledge Graphs (pre-structured dependency DAGs) as MCP context — agents traverse declared edges instead of inferring from text. Open CKG Benchmark (64 domains, 10,838 queries): 3.8× RAG's F1 at 11× fewer tokens, ~42× RDS, 0 fabricated edges by construction. 97 domains, 4 tools, no DB/embeddings. `pip install ckg-mcp`

    Knowledge & Memory

    0
  4. 4M

    Mapbox

    Node.js server implementing Model Context Protocol (MCP) for Mapbox APIs. The Mapbox MCP Server transforms any AI agent or application into a geospatially-aware system by providing seamless access to Mapbox's comprehensive location intelligence platform. With this server, your AI can understand and reason about places, navigate the physical world, and access rich geospatial data including: - Global geocoding to convert addresses and place names to coordinates and vice versa - Points of interest (POI) search across millions of businesses, landmarks, and places worldwide - Multi-modal routing for driving, walking, and cycling with real-time traffic - Travel time matrices to analyze accessibility and optimize logistics - Route optimization to find the optimal visiting order for multiple stops (traveling salesman problem) - Map matching to snap GPS traces to the road network for clean route visualization - Isochrone generation to visualize areas reachable within specific time or distance c

    Search & Data Extraction6 tools

    353

Combined config

Only servers with a published config example are merged here.

{
  "mcpServers": {
    "procore-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "procore-mcp-server"
      ]
    },
    "opentakeoff": {
      "command": "npx",
      "args": [
        "-y",
        "opentakeoff-mcp"
      ]
    },
    "ckg-mcp": {
      "command": "uvx",
      "args": [
        "ckg-mcp"
      ]
    },
    "mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "io.github.mapbox/mcp-server"
      ]
    }
  }
}