MCP

MCP#

gptme acts as a MCP client supporting MCP servers (Model Context Protocol), allowing integration with external tools and services through a standardized protocol.

We also intend to expose tools in gptme as MCP servers, allowing you to use gptme tools in other MCP clients.

Configuration#

You can configure MCP in your Global config (~/.config/gptme/config.toml) file:

[mcp]
enabled = true
auto_start = true

[[mcp.servers]]
name = "my-server"
enabled = true
command = "server-command"
args = ["--arg1", "--arg2"]
env = { API_KEY = "your-key" }

We also intend to support specifying it in the Project config, and the ability to set it per-conversation.

Configuration Options#

  • enabled: Enable/disable MCP support globally

  • auto_start: Automatically start MCP servers when needed

  • servers: List of MCP server configurations

    • name: Unique identifier for the server

    • enabled: Enable/disable individual server

    • command: Command to start the server

    • args: List of command-line arguments

    • env: Environment variables for the server

MCP Server Examples#

Memory Server#

The memory server is a useful example of an MCP server that provides persistent knowledge storage:

[[mcp.servers]]
name = "memory"
enabled = true
command = "npx"
args = [
    "-y",
    "@modelcontextprotocol/server-memory"
]
env = { MEMORY_FILE_PATH = "/path/to/memory.json" }

The memory server provides these tools for knowledge graph manipulation:

  • create_entities: Create new entities with observations

  • create_relations: Create relationships between entities

  • add_observations: Add new observations to entities

  • read_graph: Read the entire knowledge graph

  • search_nodes: Search for entities and their relations

Running MCP Servers#

Each server provides its own set of tools that become available to the assistant.

MCP servers can be run in several ways:

  • Using package managers like npx, uvx, or pipx for convenient installation and execution

  • Running from source or pre-built binaries

  • Using Docker containers

Warning

Be cautious when using MCP servers from unknown sources, as they run with the same privileges as your user.

You can find a list of available MCP servers in the example servers and MCP directories like MCP.so.