Installation

1. cd IpServer && npm install && npm run build && npm run start

2. install a local mongodb server and serve it on mongodb://127.0.0.1:27017

3. cd LibreChat && git clone git@github.com:danny-avila/LibreChat.git && mv .env.example .env && npm install && npm run frontend && npm run backend

4. add following configuration to your librechat.yaml file:

mcpServers:
  ipServer:
    # type: sse # type can optionally be omitted
    url: http://localhost:3000/sse
    timeout: 60000 # 1 minute timeout for this server, this is the default timeout for MCP servers.

endpoints:
  custom:
    - name: "Ollama"
      apiKey: "ollama"
      # use 'host.docker.internal' instead of localhost if running LibreChat in a docker container
      baseURL: "http://localhost:11434/v1/chat/completions"
      models:
        default:
          [
            "qwen2.5:3b-instruct-q4_K_M",
            "mistral:7b-instruct-q4_K_M",
            "gemma:7b-instruct-q4_K_M",
          ]
        # fetching list of models is supported but the `name` field must start
        # with `ollama` (case-insensitive), as it does in this example.
        fetch: true
      titleConvo: true
      titleModel: "current_model"
      summarize: false
      summaryModel: "current_model"
      forcePrompt: false
      modelDisplayLabel: "Ollama"

5. download and run ollama, download a model from https://ollama.ai/models/ and serve ollama on http://localhost:11434/

Usage

1. Visit http://localhost:3080/ to see the LibreChat UI.

2. Create a new agent with the name "Ollama" and select the ollama as the model provider and select a model

3. Click on the Add Tools button below and add the get-external-ip, get-local-ip-v6, get-external-ip-v6, get-local-ip tools

4. Ask agent what's my local ip address? / what's my external ip address? / what's my external ipv6 address? / what's my internal ipv6 address?

5. Agent should invoke your tools and return the results.