@putervision/agent-reasoning-mcp

MCPattested
v0.4.1io.github.putervisionMITUpdated 24d agonpmGitHub

Strategic BDI reasoning engine for autonomous AI agents with spatial utility and replanning.

Works in
ClaudeCursorCopilotGemini

Inferred from the transports this listing declares (stdio). A client not listed here hasn’t been ruled out — it just isn’t something Forge can confirm.

Attested build
A verified provenance attestation binds this artifact to the listed repository. Nobody has claimed the listing yet — this proves where the code was built, not who stands behind it.
9kDownloads/wk
21GitHub stars
24d agoLast update
Package
Authorio.github.putervision
LicenseMIT
Version0.4.1
Sourcenpm+mcp-registry
Trust Status
A
85/100Trusted
✓Listed in Forge index+10/10
✓Identity verified · attested build+20/20
—Ed25519 publish signature+0/5
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓npm Trusted Publishing (Sigstore)+5/5
—npm maintainer match+0/5
→ Publisher: add the verified GitHub login to the npm package's maintainers (npm owner add <login>)
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusIdentity verified
PublisherUnverified
SignatureUnsigned
Domain—
Provenance✓ Sigstore-verified · d43960d
Dependencies✓ 27 resolved+ · none vulnerable
Tool surface18 tools · none privileged
Security scan✓ Cleanv0.4.1 · 5d agoHow well does this scan work?
EvalsNone
IndexedSep 12, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts.

Tools

18 tools · none privileged
Statically extracted from the published packagev0.4.1 · 5d ago

Read out of the source npm actually ships, at scan time. The package was never executed. Tools registered dynamically at runtime, or hidden inside bundled or minified code, can be missed — so this is a floor on the tool surface, not a complete census of it.

set_goalRegister, update, decompose, inspect, or abandon hierarchical goals and task DAGs (actions: create, update, decompose, get, list, abandon). Use set_goal instead of manage_intentions when formulating multi-step objectives and sub-goal DAGs rather than queueing concrete execution directives. Returns…

Register, update, decompose, inspect, or abandon hierarchical goals and task DAGs (actions: create, update, decompose, get, list, abandon). Use set_goal instead of manage_intentions when formulating multi-step objectives and sub-goal DAGs rather than queueing concrete execution directives. Returns…

No input schema was published for this tool.

evaluate_situationIngest multi-modal situation snapshot, compute expected utilities against active weights, and output prioritized action recommendations (actions: snapshot, quick). Use evaluate_situation instead of assess_risk when ranking candidate actions across multi-attribute utility dimensions rather than calc…

Ingest multi-modal situation snapshot, compute expected utilities against active weights, and output prioritized action recommendations (actions: snapshot, quick). Use evaluate_situation instead of assess_risk when ranking candidate actions across multi-attribute utility dimensions rather than calc…

No input schema was published for this tool.

replanRegenerate sub-task DAG and adjust intentions upon unexpected obstacles or state changes (actions: blocker, event, full). Use replan instead of set_goal when recovering from execution blockers or environment shifts rather than creating new goals. Returns replanned goal DAG, invalidated intentions,…

Regenerate sub-task DAG and adjust intentions upon unexpected obstacles or state changes (actions: blocker, event, full). Use replan instead of set_goal when recovering from execution blockers or environment shifts rather than creating new goals. Returns replanned goal DAG, invalidated intentions,…

No input schema was published for this tool.

assess_riskCompute quantitative risk and threat assessment for candidate actions, plans, or 3D spatial rollouts against active utility weights (actions: action, plan, compare, spatial_rollout). Use assess_risk instead of evaluate_situation when estimating failure probability and threat exposure rather than ra…

Compute quantitative risk and threat assessment for candidate actions, plans, or 3D spatial rollouts against active utility weights (actions: action, plan, compare, spatial_rollout). Use assess_risk instead of evaluate_situation when estimating failure probability and threat exposure rather than ra…

No input schema was published for this tool.

query_knowledgeSearch learned heuristic patterns, tactics, and past decision traces by context similarity (actions: search, patterns, similar_situations). Use query_knowledge instead of get_decision_trace when retrieving generalized patterns across sessions rather than inspecting a single execution trace. Return…

Search learned heuristic patterns, tactics, and past decision traces by context similarity (actions: search, patterns, similar_situations). Use query_knowledge instead of get_decision_trace when retrieving generalized patterns across sessions rather than inspecting a single execution trace. Return…

No input schema was published for this tool.

set_utility_weightsConfigure, inspect, activate, or incrementally nudge multi-attribute utility weight profiles (actions: configure, get, list, activate, nudge). Use set_utility_weights instead of evaluate_situation when defining decision preferences (aggression, caution, greed, exploration) rather than evaluating ac…

Configure, inspect, activate, or incrementally nudge multi-attribute utility weight profiles (actions: configure, get, list, activate, nudge). Use set_utility_weights instead of evaluate_situation when defining decision preferences (aggression, caution, greed, exploration) rather than evaluating ac…

No input schema was published for this tool.

get_decision_traceRetrieve explainable step-by-step chain-of-thought rationale, candidate utilities, and risk assessment for past decisions (actions: latest, get, list, explain). Use get_decision_trace instead of query_knowledge when performing deep forensic analysis of a specific historical decision. Returns step-…

Retrieve explainable step-by-step chain-of-thought rationale, candidate utilities, and risk assessment for past decisions (actions: latest, get, list, explain). Use get_decision_trace instead of query_knowledge when performing deep forensic analysis of a specific historical decision. Returns step-…

No input schema was published for this tool.

manage_beliefsMaintain structured belief state with TTL expiration sweeps, exponential confidence decay, and category filtering (actions: update, query, expire, reconcile, reconcile_spatial). Use manage_beliefs instead of query_knowledge when managing dynamic agent epistemic state rather than static heuristic pa…

Maintain structured belief state with TTL expiration sweeps, exponential confidence decay, and category filtering (actions: update, query, expire, reconcile, reconcile_spatial). Use manage_beliefs instead of query_knowledge when managing dynamic agent epistemic state rather than static heuristic pa…

No input schema was published for this tool.

manage_intentionsQueue, dispatch, track, cancel, or resolve behavior directives for behavior-mcp runtime execution (actions: create, dispatch, get, list, cancel, resolve). Use manage_intentions instead of set_goal when dispatching immediate execution instructions to runtime behaviors rather than managing abstract o…

Queue, dispatch, track, cancel, or resolve behavior directives for behavior-mcp runtime execution (actions: create, dispatch, get, list, cancel, resolve). Use manage_intentions instead of set_goal when dispatching immediate execution instructions to runtime behaviors rather than managing abstract o…

No input schema was published for this tool.

manage_reasoning_dbDatabase maintenance, diagnostics, SHA-256 Merkle audit verification, and snapshot management (actions: stats, audit, doctor, snapshot, diff, restore). Use manage_reasoning_db instead of manage_beliefs when performing SQLite storage integrity verification or database snapshot restore. Returns data…

Database maintenance, diagnostics, SHA-256 Merkle audit verification, and snapshot management (actions: stats, audit, doctor, snapshot, diff, restore). Use manage_reasoning_db instead of manage_beliefs when performing SQLite storage integrity verification or database snapshot restore. Returns data…

No input schema was published for this tool.

classifyAssign semantic categorical labels to an entity, visual state, task, or state snapshot using deterministic System One calculus. Use classify instead of ask_choice when assigning predefined taxonomy labels rather than selecting among runtime decision alternatives. Returns top class label, probabili…

Assign semantic categorical labels to an entity, visual state, task, or state snapshot using deterministic System One calculus. Use classify instead of ask_choice when assigning predefined taxonomy labels rather than selecting among runtime decision alternatives. Returns top class label, probabili…

No input schema was published for this tool.

ask_noulEvaluate whether a specific proposition is true given the current state pack with calibrated probability and abstain safeguards. Use ask_noul instead of ask_score when evaluating binary truth/falsehood rather than scoring an entity on a continuous scale. Returns boolean answer, confidence probabil…

Evaluate whether a specific proposition is true given the current state pack with calibrated probability and abstain safeguards. Use ask_noul instead of ask_score when evaluating binary truth/falsehood rather than scoring an entity on a continuous scale. Returns boolean answer, confidence probabil…

No input schema was published for this tool.

ask_choiceSelect 1 option from a discrete set of alternatives (N <= 16) with probability distribution and utility margin. Use ask_choice instead of classify when choosing the best action or alternative under active utility profiles rather than categorizing an entity. Returns selected option ID, probability…

Select 1 option from a discrete set of alternatives (N <= 16) with probability distribution and utility margin. Use ask_choice instead of classify when choosing the best action or alternative under active utility profiles rather than categorizing an entity. Returns selected option ID, probability…

No input schema was published for this tool.

ask_scoreEvaluate an entity, plan, or action on a bounded continuous scale against weighted criteria. Use ask_score instead of ask_noul when evaluating continuous numeric quality or fitness rather than binary truth. Returns normalized score within scale bounds, criterion breakdown, and evaluation confidenc…

Evaluate an entity, plan, or action on a bounded continuous scale against weighted criteria. Use ask_score instead of ask_noul when evaluating continuous numeric quality or fitness rather than binary truth. Returns normalized score within scale bounds, criterion breakdown, and evaluation confidenc…

No input schema was published for this tool.

gate_intentionEvaluate an intention before dispatching to behavior-mcp and issue a cryptographic HMAC dispatch token if approved. Use gate_intention instead of manage_intentions when verifying precondition safety and issuing execution authorization rather than tracking intention state. Returns gate verdict (app…

Evaluate an intention before dispatching to behavior-mcp and issue a cryptographic HMAC dispatch token if approved. Use gate_intention instead of manage_intentions when verifying precondition safety and issuing execution authorization rather than tracking intention state. Returns gate verdict (app…

No input schema was published for this tool.

aggressiveHigh combat and threat engagement bias

High combat and threat engagement bias

No input schema was published for this tool.

cautiousHigh defense and risk aversion bias

High defense and risk aversion bias

No input schema was published for this tool.

balancedDefault balanced autonomous profile

Default balanced autonomous profile

No input schema was published for this tool.

18 of 18 tools published a description.

Tool names and descriptions are written by the publisher and shown verbatim as inert text. They are the strings an MCP client passes to a model, so Forge scans them for prompt-injection patterns — any finding appears with the security scan above. “Privileged” is a keyword match on the tool name, not an audit of what the tool does: a benign-sounding name can still do anything.

About

Strategic BDI reasoning engine for autonomous AI agents with spatial utility and replanning.

Keywords
mcp
Alternatives
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Dependency tree

What one Forge scan resolved from npm metadata on 2026-10-22 — observed resolution, not a publisher declaration.

27 packages resolved · 1 direct · none carrying advisories Resolution stops at depth 4 and 60 packages.

The crawl stopped at the depth-4 limit. Anything below that level was never resolved.

3 more resolved packages are not drawn here (display cap: 24). Every dependency carrying an advisory is drawn regardless of the cap. Full inventory (CycloneDX SBOM)

Declared but not resolved

8 declared dependencies never landed in the tree. They are missing from Forge's resolution, not from the package.