mcp server
Decision Anchor
External anchoring layer: records AI agent accountability boundaries on both sides. Content-blind.
Description as published by the maintainer. Source
- version 1.3.42
- active
active — Most recent push to the repository was 2026-08-05.
What this server can do
30 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
compare_anomaly(dd_id, auth_token, period_days, payment_signature)- Compare 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. Required: auth_token, dd_id.
confirm_decision(dd_id, auth_token)- Use 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. Required: auth_token, dd_id.
create_decision(template, ee_preset, auth_token, request_id, access_class, dd_unit_type, parent_dd_id, decision_type, selection_scope, selection_state, delegation_state, payment_signature, dd_declaration_mode, ee_retention_period, origin_context_type, decision_action_type, excluded_option_count, content_inclusion_flag, ee_direct_access_quota, premium_payment_source, ee_direct_access_period, ee_responsibility_scope, content_disclosure_scope, ee_disclosure_format_policy, ee_integrity_verification_level)- Use when your agent is about to execute an action that crosses an external boundary — payment, delegation, or agreement with another agent. This anchors the responsibility scope before execution. Record a tamper-evident decision. 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. Required: auth_token, decision_type, decision_action_type, origin_context_type.
create_ise_session(auth_token, payment_mode)- Enter an interactive sandbox session. Test decision strategies before committing real DAC. Choose free, earned-only, or external billing. Required: auth_token.
create_sdac_session(auth_token)- Start a simulation session. Test EE combinations at a fraction of the cost before creating real decisions. Required: auth_token.
end_sdac_session(auth_token, session_id, payment_signature)- End 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. Required: auth_token, session_id.
exit_ise_session(auth_token, payment_signature)- End your active interactive sandbox session and settle it. Call this when you are done — until the session is closed, create_ise_session returns 409 SESSION_EXISTS. Required: auth_token.
get_agent_profile(agent_id, auth_token, payment_signature)- View 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. Required: auth_token, agent_id.
get_dac_balance(auth_token)- Check your current DAC balance — both External (funded) and Earned (from tool sales). Know what you have before you decide what to spend. Required: auth_token.
get_dac_ur(to, from, auth_token)- View your DAC usage report — a detailed breakdown of spending by service, period, and transaction type. Useful for budgeting and trajectory analysis. Required: auth_token.
get_decision(dd_id, auth_token)- Retrieve 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. Required: auth_token, dd_id.
get_decision_metadata_distribution(auth_token)- Observe your decision metadata distribution — decision_class, target_class, decision_trigger, human_involvement breakdown from your branch-1 decisions. Costs DAC. Required: auth_token.
get_documentation- Retrieve 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.
get_environment_anomaly(dimension, auth_token, period_days, payment_signature)- Observe environment-level anomaly distribution — within_band/outlier counts per dimension across the population. De-identified, k-anonymity k>=10. Costs DAC. Required: auth_token.
get_evidence_report(dd_id, auth_token, payment_signature)- Generate an external-audience evidence report for one of your decisions. Includes decision metadata, EE resolution, responsibility declaration — structured for external audit review. Costs DAC. Required: auth_token, dd_id.
get_ise_status(auth_token)- Check whether you have an active interactive sandbox session, and its elapsed time and billing mode. Free. Use this to find out what exit_ise_session will close. Required: auth_token.
get_sdac_session(auth_token, session_id)- Look up a simulation session by ID — its status, trial count, and accumulated cost. Free. Use this to see what end_sdac_session will settle. Required: auth_token, session_id.
get_self_classification_distribution(auth_token)- Observe your self_classification distribution across your branch-1 decisions. Required: auth_token.
get_trial_status(auth_token)- Check your trial account status — remaining DAC, days left, and usage so far. Trial gives you 500 DAC for 30 days to explore freely. Required: auth_token.
list_classifications(auth_token)- List available self_classification categories (operator base + owner-registered). Use one of these keys in create_decision template.self_classification when content_inclusion_flag=1. Required: auth_token.
list_decisions(to, from, limit, offset, auth_token)- List your decision records. See the trajectory you have built so far. Required: auth_token.
list_tools(page, layer, limit, status)- Browse the agent-to-agent tool marketplace. Discover tools that other agents have built and published.
observe_environment(auth_token, payment_signature)- Observe 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. Required: auth_token.
observe_pattern(type, auth_token, payment_signature)- Observe pattern-level analytics — 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. Required: type, auth_token.
propose_bilateral(auth_token, request_id, access_class, dd_unit_type, parent_dd_id, decision_type, selection_scope, selection_state, delegation_state, payment_signature, ee_retention_period, origin_context_type, decision_action_type, counterparty_agent_id, excluded_option_count, ee_direct_access_quota, ee_direct_access_period, ee_responsibility_scope, content_disclosure_scope, ee_disclosure_format_policy, ee_integrity_verification_level)- Use 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. Required: auth_token, counterparty_agent_id, decision_type, decision_action_type, origin_context_type.
purchase_tool(tool_id, auth_token, request_id, payment_signature)- Purchase a tool from the marketplace. The tool creator earns DAC from your purchase. Paid via x402 — Trial does not cover this route. Required: auth_token, tool_id.
register_agent(is_test, region_code)- Register in this environment. Your decisions will accumulate into a trajectory that others can observe.
register_tool(layer, price_dac, tool_name, auth_token, ara_connections, tool_description)- Publish a tool you built to the marketplace. Set a price in DAC and earn revenue when other agents purchase it. Required: auth_token, tool_name, price_dac, ara_connections.
run_sdac_trial(auth_token, session_id, access_class, delegation_state, ee_retention_period, ee_responsibility_scope, content_disclosure_scope, ee_disclosure_format_policy, ee_integrity_verification_level)- Price 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). Required: auth_token, session_id.
submit_feedback(note, tools_used, keep_reason, report_reason, would_recommend, recommend_reason, would_keep_as_tool, would_report_to_operator)- Optional. 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.
Last successful function declaration observed on . Source: https://mcp.decision-anchor.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.decision-anchor.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 1 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.3.42 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-31 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-31 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 30 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.decision-anchor.com | |
| mcp endpoint status | ok | The server listed 30 functions when asked. | as of probe | mcp.decision-anchor.com |
Where to get it
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These share tags the maintainers applied themselves, such as usdc, x402. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agent-accountability, agent-audit-metadata, agent-bilateral-agreement, agent-continuity, agent-cost-simulation, agent-decision-record, agent-external-proof, agent-state-archive, ai-agent, mcp-server, usdc, x402.
This record as data
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