kortex-mcp

MCP server that exposes the Kortex data plane to Claude Desktop. Wraps the two data plane endpoints so Claude can discover and search enterprise datasets without leaving the conversation.

Prerequisites

• Python 3.11+

• uv (recommended) or pip

• A running Kortex backend (kortex/src/back)

• An active Kortex API key with at least one collection in scope

Related MCP server: cfabric-mcp

Installation

cd kortex/src/kortex_mcp
uv sync          # creates .venv and installs mcp + httpx

Or with pip:

pip install -e .

Configuration

The server reads two environment variables:

Claude Desktop setup

Edit ~/.config/Claude/claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json).

Choose one of the two options below, then restart Claude Desktop. The Kortex tools will appear in the tool picker (hammer icon).

Option A — Local clone

Use this if you have cloned the repo and want to run your working copy.

{
  "mcpServers": {
    "kortex": {
      "command": "uv",
      "args": [
        "run",
        "--project", "/absolute/path/to/kortex/src/kortex_mcp",
        "python", "-m", "mcps.kortex_mcp.server"
      ],
      "env": {
        "KORTEX_API_URL": "http://localhost:8000",
        "KORTEX_API_KEY": "kx_live_<id>_<secret>"
      }
    }
  }
}

Replace /absolute/path/to/kortex/src/kortex_mcp with the actual path on your machine.

Option B — Directly from GitHub (no clone needed)

Use this to always run the latest tagged release without maintaining a local clone. uvx downloads, caches, and runs the package in one step.

{
  "mcpServers": {
    "kortex": {
      "command": "uvx",
      "args": [
        "--from", "git+https://github.com/ibkortex/kortex_mcp@v0.0.1",
        "kortex-mcp"
      ],
      "env": {
        "KORTEX_API_URL": "http://localhost:8000",
        "KORTEX_API_KEY": "kx_live_<id>_<secret>"
      }
    }
  }
}

Tools

list_collections

Lists all collections the API key has access to.

Returns each collection with:

• id — use this in retrieve

• nombre / descripcion — human-readable name and description

• availableVersions — logical version labels you can query (e.g. ["v1", "v2"])

Call this first to understand what data is available before issuing a search.

retrieve(query, ...)

Semantic search against Amazon Bedrock Knowledge Bases.

Each result includes collectionId, versionLabel, content, score, and sourceUri.

Requesting a collection outside the API key's scope returns a 403 — Claude cannot query collections it has not been granted access to.

Example conversation

User: What collections do I have access to?

Claude calls list_collections and summarises the response.

User: Search for documents about credit risk models in the regulatory collection.

Claude calls retrieve with the appropriate collection_id and surfaces the most relevant passages.

User: Show me the v1 version only.

Claude calls retrieve again with collections: ["<id>:v1"].

Testing with MCP Inspector

MCP Inspector wraps the server process and opens a local web UI where you can call tools interactively — no Claude Desktop needed.

Local clone:

KORTEX_API_KEY=kx_live_... KORTEX_API_URL=http://localhost:8000 \
  npx @modelcontextprotocol/inspector \
  uv run --project /absolute/path/to/kortex/src/kortex_mcp \
  python -m mcps.kortex_mcp.server

From GitHub:

KORTEX_API_KEY=kx_live_... KORTEX_API_URL=http://localhost:8000 \
  npx @modelcontextprotocol/inspector \
  uvx --from git+https://github.com/ibkortex/kortex_mcp@v0.0.1 kortex-mcp

Open http://localhost:5173 in your browser. Use the Tools tab to call list_collections and retrieve and inspect the raw responses.