MCP Contemplation
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 |
|---|---|
| start_contemplationC | Start the background contemplation loop |
| send_thoughtC | Send a thought for background processing |
| get_insightsC | Retrieve processed insights from contemplation |
| set_thresholdC | Set minimum significance threshold for insights |
| get_memory_statsB | Get memory usage statistics |
| get_statusC | Get contemplation loop status |
| stop_contemplationC | Stop the contemplation loop |
| clear_scratchB | Clear temporary scratch notes |
| helpB | Get help documentation for contemplation system |
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 9 tools
Every tool has a clearly distinct purpose with no ambiguity. For example, clear_scratch handles temporary notes, get_insights retrieves processed data, and start/stop_contemplation control the loop lifecycle, making misselection unlikely.
All tools follow a consistent verb_noun pattern using snake_case, such as clear_scratch, get_insights, and set_threshold. This predictability aids in agent understanding and tool selection.
With 9 tools, the count is well-scoped for a contemplation system, covering core operations like status monitoring, loop control, data retrieval, and configuration without being overwhelming or insufficient.
The tool set provides comprehensive coverage for contemplation workflows, including starting/stopping loops, sending thoughts, retrieving insights, and managing settings. A minor gap might be the lack of a tool to modify or delete specific thoughts or insights, but agents can work around this.