MCTS MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| initialize_mctsC | Initialize MCTS for a question |
| run_mcts_searchC | Run MCTS search iterations |
| get_synthesisC | Generate a final synthesis of the MCTS results |
| get_statusC | Get the current MCTS status |
| set_providerC | Set the LLM provider and model |
| list_available_modelsC | List available models for a provider |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose with no ambiguity: get_status retrieves current state, get_synthesis generates final output, initialize_mcts sets up the process, list_available_models shows options, run_mcts_search performs iterations, and set_provider configures the model. The tools cover different stages and aspects of the MCTS workflow without overlap.
All tools follow a consistent verb_noun pattern with snake_case throughout: get_status, get_synthesis, initialize_mcts, list_available_models, run_mcts_search, set_provider. The naming is predictable and readable, using clear verbs like 'get', 'initialize', 'list', 'run', and 'set' that accurately describe each action.
With 6 tools, the server is well-scoped for managing MCTS processes, covering initialization, configuration, execution, and result retrieval. Each tool earns its place in the workflow, providing a focused set without being too sparse or bloated, which is typical for a specialized domain like MCTS.
The tool surface covers the core MCTS lifecycle comprehensively: initialization (initialize_mcts), configuration (set_provider, list_available_models), execution (run_mcts_search), and results (get_status, get_synthesis). A minor gap exists in lacking tools for intermediate monitoring or adjusting parameters during search, but agents can work around this with the provided tools.