OpenFateAI Assistant MCP
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| structure_decisionA | Organize user-provided options, facts, assumptions, constraints, and priorities into a neutral comparison. This tool does not choose an option or predict an outcome. |
| create_reflection_sessionA | Create a guided self-reflection sequence from a user-provided situation and desired outcome. The output is educational and non-clinical. |
| build_action_planA | Arrange user-provided candidate steps into a time-bounded plan with checkpoints. The tool organizes steps and does not invent expert recommendations. |
| prepare_digital_reportA | Organize user-provided notes into a transparent report outline without adding facts, citations, or conclusions that were not supplied. |
| get_openfateai_policyA | Return the product boundaries and response guidance for OpenFateAI assistant workflows. |
| get_openfateai_resourcesA | Return canonical OpenFateAI links for the workspace, one-time credit pricing, support, terms, privacy, refunds, and source code. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| decision_review | A neutral prompt for reviewing a meaningful decision without predicting the outcome. |
| weekly_reflection | A concise weekly reflection prompt focused on evidence, learning, and next actions. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Each tool targets a distinct activity: planning, reflection, policy retrieval, resource links, report drafting, and decision structuring. No two tools have overlapping purposes.
All tool names consistently use a verb_noun pattern in snake_case (e.g., build_action_plan, create_reflection_session). No mixing of styles.
With 6 tools, the set is well-scoped for an AI assistant focused on planning, reflection, decision support, and information lookup. Each tool earns its place.
The tools cover core workflows: plan creation, reflection, decision structuring, report preparation, and access to policies/resources. Minor gaps like a tool to update plans are absent, but the surface is largely complete for the stated purpose.