mcpField
A

Andish

Local
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About Andish

Knowledge-graph memory for your team's documents. Answers cite the source, not a summary

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "ru-andish-andish": {
      "command": "uvx",
      "args": [
        "andish-mcp"
      ],
      "env": {
        "ANDISH_API_KEY": "<ANDISH_API_KEY>",
        "ANDISH_BASE_URL": "<ANDISH_BASE_URL>"
      }
    }
  }
}
Run commanduvx andish-mcp
Environment variables to set
ANDISH_API_KEYSecretAndish API key. Create one in the dashboard at https://andish.ru
ANDISH_BASE_URLAPI base URL. Defaults to the hosted service; set it only when pointing at your own deployment.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiandish-mcp0.2.0

Tools

9

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
modestringNo
questionstringYes

Details

The maintainer has not added details yet. Check the README in the repository.

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.