Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
RLHF_MCP_PROFILENoSet to 'essential' for the lean 5-tool setup, or leave unset for the full 12-tool pipeline.
RLHF_FEEDBACK_DIRNoDurable path for telemetry, billing ledgers, and proof-backed workflow-run evidence. Highly recommended for hosted deployments.
RLHF_GA_MEASUREMENT_IDNoGoogle Analytics 4 Measurement ID for telemetry tracking (optional).
RLHF_PUBLIC_APP_ORIGINNoThe origin URL for the public app/landing page used for telemetry and UI.
RLHF_BILLING_API_BASE_URLNoThe base URL for the billing API.
RLHF_GOOGLE_SITE_VERIFICATIONNoGoogle Site Verification token for Search Console (optional).

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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
capture_feedbackA

Capture an up/down signal plus one line of why. Vague feedback is logged, then returned with a clarification prompt instead of memory promotion.

feedback_summaryC

Get summary of recent feedback

search_lessonsB

Search promoted lessons and show the corrective actions, lifecycle state, prevention rules, gates, and next harness fixes linked to each result.

retrieve_lessonsA

Retrieve the most relevant lessons for a given tool/action context. Use in PreToolUse hooks for per-action guidance.

search_thumbgateA

Search raw ThumbGate state across feedback logs, ContextFS memory, prevention rules, and imported policy documents.

plan_multimodal_retrievalA

Plan a high-ROI multimodal retrieval rollout for screenshots, PDF pages, dashboard captures, and proof artifacts without starting GPU training.

plan_context_footprintA

Estimate MCP schema and feedback-context footprint before loading large manifests into an agent prompt. Reports progressive-discovery savings, context compaction savings, and proof-preserving recommendations.

plan_agent_design_governanceA

Evaluate an agent workflow before adding tools, autonomy, or subagents. Recommends single-agent vs manager/decentralized patterns, baseline evals, instruction fixes, and tool safeguards.

plan_proactive_agent_eval_guardrailsA

Map proactive-assistant eval gaps to PARE-style state-machine, active-user-simulation, goal-inference, intervention-timing, and multi-app orchestration gates.

plan_reward_hacking_guardrailsA

Detect reward-hacking patterns such as unsupported completion claims, sycophancy, verbosity-as-proof, benchmark overfitting, evaluator manipulation, and proxy-only metrics.

plan_oss_pr_opportunity_scoutA

Rank upstream GitHub repositories ThumbGate depends on for proof-backed issue, bounty, and PR opportunities without spammy drive-by contributions.

plan_chatgpt_ads_readinessB

Prepare ThumbGate intent clusters, ad copy, proof links, UTM measurement, and launch gates for ChatGPT Ads Manager tests.

feedback_statsA

Get feedback stats and recommendations

suggest_fixA

Suggest corrective actions for a described failure by searching the lesson DB and prevention rules. Returns up to 3 ranked suggestions with their source. Call this when something goes wrong and you need guidance on what to do next.

prevention_rulesC

Generate prevention rules from repeated mistake patterns

recallA

Recall relevant past feedback, memories, and prevention rules for the current task. Call this at the start of any task to inject past learnings into the conversation.

unified_contextA

Assemble a complete, role-aware context object in one call. Combines session state, user profile, relevant lessons, prevention guards, context pack, and code-graph impact — with tiered graceful degradation (full → warm → cold). Replaces multiple recall/retrieve/session_primer calls with a single orchestrated request.

satisfy_gateA

Satisfy a gate condition with optional structured reasoning. Evidence is stored with a 5-minute TTL. When structuredReasoning is provided, the premise/evidence/conclusion chain is stored in the audit trail.

set_task_scopeA

Declare or clear the current task scope so ThumbGate can compare affected files and diffs against the approved path set.

get_scope_stateB

Return the active task scope and any unexpired protected-file approvals.

set_branch_governanceA

Declare or clear branch and release governance so PR, merge, release, and publish actions can be evaluated against explicit workflow state.

get_branch_governanceA

Return the active branch and release governance state.

approve_protected_actionA

Grant a time-limited approval for edits or publish actions that touch protected files.

track_actionA

Record a verification action in the current session (for example figma_verified or tests_passed). Session actions expire after one hour.

record_task_outcomeA

Record an idempotent task-level outcome with verification evidence, tool correctness, policy behavior, latency, cost, and business KPI movement. A completed response without evidence is recorded as not working.

get_task_outcomesA

Read a task outcome by taskId or the most recent evidence-backed outcome receipts.

get_agent_outcome_metricsA

Compute transparent task, tool, safety, escalation, latency, cost, and business metrics from recorded task outcomes. Empty data returns insufficient_evidence.

request_human_escalationA

Create an idempotent, expiring human-review request with requester identity and evidence. Agents cannot approve their own requests.

list_human_escalationsA

List auditable human-escalation state. Approval decisions are deliberately absent from the agent tool surface.

create_purchase_requisitionB

Create an append-only purchase requisition and independent human-escalation request. This does not authorize spending.

list_purchase_requisitionsB

List projected purchase-requisition states from the append-only financial ledger and human-review queue.

reserve_purchase_requisitionB

Reserve a single-use amount from an independently approved purchase requisition. Approval is unavailable from the agent tool surface.

settle_purchase_requisitionA

Commit actual spend with receipt evidence or release an unused reservation. Events are append-only.

reconcile_purchase_ledgerB

Reconcile the append-only financial ledger, including totals, stale reservations, status counts, and tamper-evident event hashes.

verify_claimA

Check whether a claim has enough tracked evidence and, for parseable factual claims (row counts, file lines/bytes/existence, versions), recheck configured SQLite/filesystem/JSON verifiers before the agent asserts it.

check_operational_integrityA

Evaluate whether the current repo state is safe for PR, merge, release, and publish operations.

workflow_sentinelA

Predict pre-action workflow risk, blast radius, and remediations before a tool call executes.

gate_checkA

Evaluate a proposed tool call against ThumbGate policy BEFORE executing it. Returns decision "block" (do not run the action; surface the reason) or "allow". Use this when about to run a shell command, write/edit a file, or take any irreversible action.

estimate_uncertaintyA

Estimate Bayesian uncertainty for a set of tags based on past feedback.

open_feedback_sessionB

Open a feedback session after thumbs up/down. Follow-up messages will be captured for 60s.

append_feedback_contextB

Append a follow-up message to an open feedback session. Call this when the user types additional context after giving thumbs up/down.

finalize_feedback_sessionB

Finalize a feedback session and re-infer the lesson with all follow-up context.

reflect_on_feedbackA

Run a post-mortem analysis on negative feedback. Returns a proposed rule and recurrence info.

report_product_issueA

Report a bug, suggestion, or complaint about ThumbGate itself (not project feedback). Auto-files a GitHub issue with system context. Use when the user expresses frustration or requests a feature for the thumbgate tool.

require_evidence_for_claimB

Leader-Agent completion gate. Before any agent declares done/fixed/shipped/resolved, require tracked session evidence AND recheck parseable factual claims (row counts, file metrics, versions) against configured verifiers. Blocking response when evidence is missing or a factual claim mismatches; callers honor the blocking flag to stop completion claims.

session_reportA

Unified observability rollup. Aggregates feedback stats, gate stats, and recent context/provenance events over a time window in one call. Replaces separate dashboard/gate_stats/feedback_stats calls with a single LangSmith-style report.

generate_operator_artifactA

Dynamic operator artifact generator. Turns ThumbGate PR, reliability, revenue, and release data into a decision-ready pulse with metrics, evidence, and next actions.

parallel_workflowB

Execute a parallel, multi-step subtask workflow to resolve an objective like a security audit, performance benchmark, or repository inspection.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/IgorGanapolsky/ThumbGate'

If you have feedback or need assistance with the MCP directory API, please join our Discord server