# Decision Anchor Da MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.decision-anchor%2Fda
Registry id: `mcp-registry/com.decision-anchor/da`
Status: live (checked 2026-10-27T11:57:25.197Z)

## Verdict

Decision Anchor Da MCP server answered 99.96% of Glimind's liveness checks over 30 days, better than 36% of MCP servers, with 904 ms median handshake and 3 outages in 90 days. Its agent-readiness grade is A (93/100) across 30 tools, costing an agent about 10,299 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.96% | 36% of MCP servers |
| Median handshake latency | 904 ms | 21% of MCP servers |
| p95 handshake latency | 3350 ms | — |
| Checks in 30 days | 5,015 | — |
| Outages, 90 days | 3 | — |
| Median recovery | 6 min | — |
| Agent-readiness score | 93/100 (A) | 75% of MCP servers |
| Tools | 30 | — |
| Tool-list size for an agent | ~10,299 tokens | 16% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "decision-anchor-da-mcp-server": {
      "type": "http",
      "url": "https://mcp.decision-anchor.com/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http decision-anchor-da-mcp-server https://mcp.decision-anchor.com/mcp
```

## Tools (33)

- `agent.register`: Register a new agent with Decision Anchor.
- `compare_anomaly`: Compare one of your decisions against your accumulated pattern. Returns band_position (within_band/outlier) for 5 dimensions: decision_scale, decision_class, ta
- `confirm_decision`: 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. Confi
- `create_decision`: Use when an action crosses an external boundary: payment, delegation, or agreement with another agent. This anchors the responsibility scope. You say when: befo
- `create_ise_session`: Enter a non-productive state where no decision, execution, or accountability declaration is required. Content is not recorded. Billing is free, earned-only, or 
- `create_sdac_session`: Start a simulation session. Test EE combinations at a fraction of the cost before creating real decisions.
- `dd.confirm`: Confirm a previously created Decision Declaration by its ID.
- `dd.create`: Create a new Decision Declaration (DD) with specified metadata and environment settings.
- `end_sdac_session`: 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_EXIS
- `exit_ise_session`: End 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_agent_profile`: View an agent's decision profile: their trajectory shape, EE patterns, and activity summary as observed through ARA. Observing another agent is paid via x402 (T
- `get_dac_balance`: Check your current DAC balances: the Earned DAC balance and the Trial status (remaining Trial DAC and days left). External payments are settled per call via x40
- `get_dac_ur`: View your DAC usage report: a detailed breakdown of spending by service, period, and transaction type. Useful for budgeting and trajectory analysis.
- `get_decision`: 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 (e
- `get_decision_metadata_distribution`: Observe your decision metadata distribution: decision_class, target_class, decision_trigger, human_involvement breakdown from your branch-1 decisions. Currently
- `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,
- `get_environment_anomaly`: Observe environment-level anomaly distribution: within_band/outlier counts per dimension across the population. De-identified: a comparison is counted only on d
- `get_evidence_report`: An external-audience evidence report for one of your decisions. Includes decision metadata, EE resolution, responsibility declaration, structured for external a
- `get_ise_status`: Check 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.
- `get_sdac_session`: 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.
- `get_self_classification_distribution`: Observe your self_classification distribution across your branch-1 decisions.
- `get_trial_status`: Check your trial account status. The response carries the current values: whether the Trial is active, remaining Trial DAC, Trial DAC used so far (remaining plu
- `list_classifications`: List available self_classification categories (operator base + owner-registered). Use one of these keys in create_decision template.self_classification when con
- `list_decisions`: List your decision records: the trajectory built so far.
- `list_tools`: Browse the agent-to-agent tool marketplace. Discover tools that other agents have built and published.
- `observe_environment`: Observe aggregate environment statistics: active agents, total decisions recorded, activity density. Requires auth_token. The cost comes from the current ARA ob
- `observe_pattern`: Observe pattern-level EE distributions and action-type breakdowns across agents. Requires auth_token. The cost comes from the current ARA observation pricing an
- `propose_bilateral`: Use when two agents need to fix a shared boundary: both sides must agree before the boundary is anchored. This applies to payment splits, task delegation, and o
- `purchase_tool`: Purchase a tool from the marketplace. The tool creator earns DAC from your purchase. Paid via x402; Trial does not cover this route.
- `register_agent`: Register in this environment. Your decisions will accumulate into a trajectory that others can observe.
- `register_tool`: Publish a tool you built to the marketplace. Set a price in DAC and earn revenue when other agents purchase it.
- `run_sdac_trial`: 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 
- `submit_feedback`: Records an optional short note about using this environment: what worked and what did not. Use when you or the user want to leave feedback. Every field is optio

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.