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Forge AI Accountability

REMOTE · DEMO.FORGEORBITAL.COM

Demo of Forge decision accountability on fictional Acme Mutual: signed, replayable records.

66 Trust /100

Last scanned (2 hours ago)

Scores higher than 52% of remote servers

Unreachable for 2 days in a row. Last reached 3 Nov 2026.

Category AI and Machine Learning

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security14
Transport & Reachability0
Schema Quality & AI Usability0
  • Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list.Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Tool Safety0
  • Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Capabilities0
  • Capabilities not yet verified: we couldn't read the endpoint's capabilities.Unverified

Unverified: 5 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 4 Nov 26 0
    • Endpoint reachability: reachable → unreachable ▼ security
    • Authorization: partial → unverified ▼ security
    • Tool safety: pass → unverified ▼ security
    • TLS certificate: pass → unverified ▼ security
    • Stability: 0.03 → unverified ▼ security
    • HSTS header: pass → unverified ▼ security
    • Transport: pass → fail ▼ security
    • Capabilities: pass → unverified ▼ functional
    • Schema quality: 0 → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
  • 3 Nov 26 +1
    • Tool “review_agent_workflow” rewrote its description, which is the text the model reads security
    • Schema quality: 71 → 90 ▼ functional
    • Stability: unverified → 0.03 ▲ functional
  • 2 Nov 26 65

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://demo.forgeorbital.com/mcp

TLS unreached
DNSSEC secure

Validation of demo.forgeorbital.com. — Secure

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
forgeorbital.com. present 2371 13 Verified
demo.forgeorbital.com. Verified address RRset verified with the apex keys
Authentication Inconclusive

We could not reach the endpoint well enough to judge its authorisation posture.

Result Inconclusive

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://demo.forgeorbital.com/mcp Unreachable
http (plaintext) http://demo.forgeorbital.com/mcp HTTPS enforced
MCP tools · 7 exposed · ~716 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
explain_verdict ~56

Explains, in plain English, why Forge Orbital reached the verdict in a demo decision record and what evidence a reviewer would need to change it. Read-only, stateless, demo data only.

NameTypeReqDescription
recordobjectyes–

No output schema declared.

No examples provided.

get_attestation_summary ~74

Verifies a Forge Orbital demo decision record against the pinned demo key and summarizes what it attests: signature status, the decision, whether the engine abstained, whether human review is required, and how many evidence items were used. Does not store the record. Demo records only.

NameTypeReqDescription
recordobjectyes–

No output schema declared.

No examples provided.

list_scenarios ~36

Lists the five sample scenarios for the fictional Acme Mutual Insurance that run_check accepts, with their evidence ids. Demo data only.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

replay_decision_record ~101

Replays a Forge Orbital demo decision: re-runs the deterministic engine on the same sample scenario (and any withdrawn evidence) and checks that the replay key and the decision match the record. Replayability is the point: the same inputs and engine version give the same decision. Reads nothing about the user. Demo only, fictional sample data.

NameTypeReqDescription
recordobjectyes–
scenario_idstringyes–
withdraw_evidence–––

No output schema declared.

No examples provided.

review_agent_workflow ~274

Run the Forge accountability engine evaluator and optimizer on synthetic examples or supplied labeled old/new outputs. For samples use payload={"sample_mode":"improved"}, or regression/changed_path. For a user-supplied comparison, translate only their supplied actions into this exact format: payload={"workflow":"User test","cases":[{"id":"case-1","expected":{"action":"hold"},"baseline":{"output":{"action":"allow"},"trajectory":[]},"candidate":{"output":{"action":"hold"},"trajectory":[]}}]}. Replace example actions with the user actions; never invent labels or steps. If the user has not said what should happen, ask them in plain English before scoring. The user never needs to write JSON or know these field names. Cases need id, expected.action, baseline.output.action, baseline.trajectory, candidate.output.action and candidate.trajectory. Use empty trajectory arrays when no action steps were supplied. Do not use plain strings for expected/baseline/candidate. Omit usage entirely unless token usage was supplied. If a format error occurs, repair the structure without changing the evidence and retry. A description alone returns a standard preparation checklist, not a measured evaluation. No code runs, external agent calls, changes or deployment. Synthetic prices are unsigned estimates, never approved savings.

NameTypeReqDescription
payloadobjectyes–

No output schema declared.

No examples provided.

run_check ~95

Computes a Forge Orbital verdict for one of five fictional Acme Mutual Insurance scenarios and returns it with a signed decision record in the response. Read-only: nothing is stored, sent or changed. Optionally withdraw evidence ids to see how the verdict changes. Demo only: sample rules and sample evidence, not connected to the user's systems, policies or live actions.

NameTypeReqDescription
scenario_idstringyes–
withdraw_evidence–––

No output schema declared.

No examples provided.

verify_decision_record ~80

Verifies the Ed25519 signature of a Forge Orbital demo decision record against the published demo key id. Pass the full signed record object returned by run_check (this demo keeps nothing, so a record id alone cannot be looked up). Editing any field makes verification fail. Demo records only.

NameTypeReqDescription
record–––
record_id–––

No output schema declared.

No examples provided.

Install

How do I install the Forge AI Accountability MCP server?

Forge AI Accountability is a hosted endpoint at https://demo.forgeorbital.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · demo.forgeorbital.com

# add to Claude Code
claude mcp add --transport http forgeorbital-forge-ai-accountability 'https://demo.forgeorbital.com/mcp'
Common questions

What is the Forge AI Accountability MCP server?

Forge AI Accountability is an MCP server listed in the public MCP registry as io.github.forgeorbital/forge-ai-accountability. Demo of Forge decision accountability on fictional Acme Mutual: signed, replayable records. This page covers its hosted endpoint (https://demo.forgeorbital.com/mcp).

Is the Forge AI Accountability MCP server safe to use?

Forge AI Accountability scores 66 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Forge AI Accountability MCP server expose?

Forge AI Accountability exposes 7 tools: list_scenarios, run_check, verify_decision_record, replay_decision_record, get_attestation_summary, and 2 more. Their descriptions and schemas cost roughly 716 tokens of context every time the server is loaded.

Does the Forge AI Accountability MCP server require authentication?

Its publisher declares no required credentials for Forge AI Accountability. We have not been able to confirm that against the live endpoint, and a server can require authorisation without declaring it here.

Is the Forge AI Accountability MCP server still maintained?

Forge AI Accountability is still listed in the MCP registry, though our most recent checks did not reach this channel. We last reached this channel on 3 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.