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Glama
SinboBoop

vibe-blueprint

by SinboBoop

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
FOUNDATION_LLM_MODELNoExact model ID; never silently replaced.gpt-5.6-sol
FOUNDATION_LLM_API_KEYNoHighest-priority credential; prefer `vibe-blueprint auth set` on a workstation.none
FOUNDATION_CODE_SHARINGNoMaximum repository context: `none`, `summary`, or `diff`.none
FOUNDATION_LLM_BASE_URLNoResponses-compatible base URL.https://api.inferenvoy.com
FOUNDATION_ALLOWED_ROOTSNoPlatform-delimited roots under which `project_root` may resolve.server working directory
FOUNDATION_LLM_RESPONSES_PATHNoExplicit path override; otherwise `/responses`, then `/v1/responses` only after 404/405.discovered
FOUNDATION_LLM_REASONING_EFFORTNoResponses reasoning effort.xhigh

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

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
foundation_doctorA

Check non-secret model configuration, credential presence, allowed-root access, model connectivity, project Foundation state, and protection coverage.

foundation_analyze_projectB

Use the MCP's internal model plus deterministic activity-risk, minimum-invariant, and order-independent route checks to propose or deliberately abstain from a project Foundation. Additive traces explain activity evidence and route elimination. Does not write project state.

foundation_answer_questionA

Apply the user's answer to the one returned material-reality or financial-scope question, then re-run classification and the internal model recommendation.

foundation_commitA

Atomically commit a validated, user-confirmed analysis proposal to Foundation artifacts. Never modifies application source.

foundation_getA

Read the authoritative Foundation JSON, readable Markdown, or compact Session Brief.

foundation_assess_changeA

Compare a new requirement with committed Foundation state and reanalyze only affected capabilities. Does not commit changes.

foundation_scan_changesB

Scan Git changes, dependencies, migrations, environment names, and structure for combined Foundation boundary signals.

foundation_verifyA

Preview or run one explicitly registered, allowlisted Foundation evidence check with no shell.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.9/5.0

Scored across 8 tools

Disambiguation5/5

Each tool targets a distinct phase of the Foundation workflow: health check (doctor), proposal (analyze_project), user interaction (answer_question), reading (get), writing (commit), re-evaluation (assess_change), scanning (scan_changes), and verification (verify). There is no meaningful overlap between any two tools.

Naming Consistency5/5

All tools share the fixed prefix 'foundation_' followed by a clear verb_noun pattern (e.g., analyze_project, answer_question, scan_changes). This provides a predictable and systematic naming scheme across the entire set.

Tool Count5/5

With 8 tools, the set is well-scoped for the Foundation domain. Each tool serves a necessary function and none feel redundant or superfluous, fitting comfortably within the ideal 3-15 tool range.

Completeness5/5

The toolset covers the full lifecycle: analysis, user interaction, commit, change assessment, scanning, verification, and health checks. There are no obvious dead ends or missing core operations for the stated purpose of managing project Foundation state.

Maintenance

ActivityStale
ResponsivenessNo issues