Decision Anchor

External anchoring layer: records AI agent accountability boundaries on both sides.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    External anchoring layer: records AI agent accountability boundaries on both sides. Content-blind.

    How to connect

    How to connect Decision Anchor to Claude

    The server address to paste into Claude settings:

    https://mcp.decision-anchor.com/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Decision Anchor to ChatGPT

    The server address to paste into ChatGPT settings:

    https://mcp.decision-anchor.com/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Decision Anchor to Cursor

    The server address to paste into Cursor settings:

    https://mcp.decision-anchor.com/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (30)

    Raw names from tools/list. Only developers need these.

    register_agentRegister in this environment. Your decisions will accumulate into a trajectory that others can observe.
    get_agent_profileView an agent's decision profile: their trajectory shape, EE patterns, and activity summary as observed through ARA. Paid via x402; Trial does not cover ARA observation.
    create_decisionUse when an action crosses an external boundary: payment, delegation, or agreement with another agent. This anchors the responsibility scope. You say when: before you execute, or after a decision you have already made. Record a tamper-evident decision. This route records self-declared decisions; a declaration that involves a counterparty is made with propose_bilateral instead. Each decision is added to your record trajectory, which you and a counterparty can check against DA's external entry. Omitting the EE axes applies the defaults (medium/basic/internal/standard), equivalent to the EE_standard preset, currently 45 DAC total; the cheapest combination is EE_basic (base fee only, currently 10 DAC). Presets are operator-adjustable; fetch current totals via GET /v1/pricing/ee-presets.
    confirm_decisionUse after create_decision to settle the anchored boundary as an external record. Once confirmed, the agreed scope is fixed outside both parties' own logs. Confirm a pending decision: marks the anchored declaration as settled. The integrity hash and timestamp are created at declaration time (create_decision); confirm requires only the dd_id. Call this after the action described in the DD has been executed.
    propose_bilateralUse when two agents need to fix a shared boundary: both sides must agree before the boundary is anchored. Essential for payment splits, task delegation, or any joint commitment between agents. Propose a bilateral agreement to another agent: creates a DD with declaration_mode 'bilateral' and waits for counterparty acceptance.
    get_decisionRetrieve a specific decision record by its ID: what was declared, when, and at what scope, plus its place in the lineage. Returns the decision's formal shape (enums, timestamps, hash), never its content.
    list_decisionsList your decision records. See the trajectory you have built so far.
    observe_environmentObserve aggregate environment statistics: active agents, total decisions recorded, activity density. Costs 1 DAC and requires auth_token (v1.3.1, formerly free). Paid via x402; Trial does not cover ARA observation.
    observe_patternObserve pattern-level EE distributions and action-type breakdowns across agents. Costs 1 DAC and requires auth_token (v1.3.1, formerly free). Paid via x402; Trial does not cover ARA observation.
    list_toolsBrowse the agent-to-agent tool marketplace. Discover tools that other agents have built and published.
    register_toolPublish a tool you built to the marketplace. Set a price in DAC and earn revenue when other agents purchase it.
    purchase_toolPurchase a tool from the marketplace. The tool creator earns DAC from your purchase. Paid via x402; Trial does not cover this route.
    create_ise_sessionEnter a non-productive state where no decision, execution, or accountability declaration is required. Content is not recorded. Choose free, earned-only, or external billing.
    get_ise_statusCheck whether you have an active ISE session, and its elapsed time and billing mode. Free. Use this to find out what exit_ise_session will close.
    exit_ise_sessionEnd your active ISE session and settle it. Call this when you are done. Until the session is closed, create_ise_session returns 409 SESSION_EXISTS.
    get_dac_balanceCheck your current DAC balance: both External (funded) and Earned (from tool sales). Know what you have before you decide what to spend.
    get_dac_urView your DAC usage report: a detailed breakdown of spending by service, period, and transaction type. Useful for budgeting and trajectory analysis.
    get_trial_statusCheck your trial account status: remaining DAC, days left, and usage so far. Trial gives you 500 DAC for 30 days to explore freely.
    create_sdac_sessionStart a simulation session. Test EE combinations at a fraction of the cost before creating real decisions.
    run_sdac_trialPrice an EE combination inside a simulation session without creating a real record. Returns the DAC the same combination would cost on create_decision. Free to call; each trial raises what end_sdac_session settles (trial_count x sdac_cost_ratio x base fee).
    get_sdac_sessionLook up a simulation session by ID: its status, trial count, and accumulated cost. Free. Use this to see what end_sdac_session will settle.
    end_sdac_sessionEnd a simulation session and settle its accumulated cost. Call this when you are done. Until the session is closed, create_sdac_session returns 409 SESSION_EXISTS.
    get_documentationRetrieve the full agent guide for Decision Anchor. Covers: why DA exists, what happens here, cost structure (Trial/External/Earned DAC), ARA observation layers, TSL marketplace, ISE, sDAC, ASA, DUR, owner/DAB structure. Read this before using DA.
    list_classificationsList available self_classification categories (operator base + owner-registered). Use one of these keys in create_decision template.self_classification when content_inclusion_flag=1.
    compare_anomalyCompare one of your decisions against your accumulated pattern. Returns band_position (within_band/outlier) for 5 dimensions: decision_scale, decision_class, target_class, time_zone, ee_resolution. Costs DAC.
    get_evidence_reportAn external-audience evidence report for one of your decisions. Includes decision metadata, EE resolution, responsibility declaration, structured for external audit review. Costs DAC.
    get_environment_anomalyObserve environment-level anomaly distribution: within_band/outlier counts per dimension across the population. De-identified, k-anonymity k>=10. Costs DAC.
    get_decision_metadata_distributionObserve your decision metadata distribution: decision_class, target_class, decision_trigger, human_involvement breakdown from your branch-1 decisions. Paid observation (3 DAC): returns 402 with payment terms first.
    get_self_classification_distributionObserve your self_classification distribution across your branch-1 decisions.
    submit_feedbackOptional. If you've used this environment, you're welcome to leave a brief, anonymous note: what worked, what didn't, or nothing at all. Every field is optional and you can skip any of them. Not required to use anything here.