mcpbeat Sign in

Decision Anchor MCP Server

by decision-anchor Your server? Claim it
answering

Decision Anchor is answering right now. Last checked 15 min ago. It exposes 30 tools. Last commit 15 Sep 2026.

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

Uptime history 91 days of history · worst day 93%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
30
Tools
read from the server
820 ms
Response time
average over 24h
1
Stars
last commit 15 Sep 2026

What changed 86

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 10 August 2026. No other catalogue keeps this.

1 Oct 13 tool descriptions were rewritten14 times that day create_decision, create_ise_session, get_agent_profile and 10 more
1 Oct 3 tools changed the parameters they ask for4 times that day create_decision, propose_bilateral, register_tool
19 Sep 27 tools changed the parameters they ask for compare_anomaly, confirm_decision, create_decision and 24 more
15 Sep a tool changed the parameters it asks for register_tool
9 Sep a tool changed the parameters it asks for2 times that day register_agent
25 Aug 2 tools changed the parameters they ask for5 times that day create_decision, propose_bilateral
25 Aug a tool description was rewritten2 times that day create_decision
20 Aug 20 tool descriptions were rewritten21 times that day confirm_decision, create_decision, create_ise_session and 17 more
20 Aug 5 tools changed the parameters they ask for create_decision, propose_bilateral, purchase_tool and 2 more
15 Aug 3 tools changed the parameters they ask for get_decision_metadata_distribution, purchase_tool, submit_feedback
and 10 more, back to 10 August 2026

Nothing serious here today

Today is the operative word: we check Decision Anchor every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

run in your terminal
claude mcp add da --transport http https://mcp.decision-anchor.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://mcp.decision-anchor.com/mcp
~/.codex/config.toml
[mcp_servers.da]
url = "https://mcp.decision-anchor.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "da": {
      "url": "https://mcp.decision-anchor.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "da": {
      "type": "http",
      "url": "https://mcp.decision-anchor.com/mcp"
    }
  }
}

Available tools 30

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

decision
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: 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. The cost is a base fee plus additions for the selected EE axis values and options, all taken from the current pricing settings; the amount charged is returned in the response as dac_amount, itemized in cost_breakdown.
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 (enums, timestamps, hash), never its content.
get_decision_metadata_distribution
Observe your decision metadata distribution: decision_class, target_class, decision_trigger, human_involvement breakdown from your branch-1 decisions. Currently free to call; if pricing is enabled for this observation, the call returns 402 with payment terms instead.
sdac
create_sdac_session
Start a simulation session. Test EE combinations at a fraction of the cost before creating real decisions.
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.
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 call; each trial raises what end_sdac_session settles (trial_count x sdac_cost_ratio x base fee).
dac
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 x402 and are not held here as a balance.
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.
ise
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 external (payment_mode).
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.
observe
observe_environment
Observe aggregate environment statistics: active agents, total decisions recorded, activity density. Requires auth_token. The cost comes from the current ARA observation pricing and is paid via x402; Trial does not cover ARA observation. The amount charged is returned in the response as dac_charged.
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 and is paid via x402; Trial does not cover ARA observation. The amount charged is returned in the response as dac_charged.
register
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.
agent
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 (Trial does not cover ARA observation); observing your own agent_id is free.
classifications
list_classifications
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.
compare
compare_anomaly
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.
confirm
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. 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.
decisions
list_decisions
List your decision records: the trajectory built so far.
documentation
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. Use when you need background on any of these topics.
end
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_EXISTS.
environment
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 days when the number of distinct agents recording decisions meets the configured minimum group size; comparisons from other days are left out. The minimum in effect is returned as metadata.k_anonymity_threshold. Costs DAC.
evidence
get_evidence_report
An external-audience evidence report for one of your decisions. Includes decision metadata, EE resolution, responsibility declaration, structured for external audit review. Costs DAC.
exit
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.
propose
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 other joint commitments between agents. Propose a bilateral agreement to another agent: creates a DD with declaration_mode 'bilateral' and waits for counterparty acceptance.
purchase
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.
self
get_self_classification_distribution
Observe your self_classification distribution across your branch-1 decisions.
submit
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 optional, and no other tool depends on it.
tools
list_tools
Browse the agent-to-agent tool marketplace. Discover tools that other agents have built and published.
trial
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 plus used is the amount granted), the expiry time and days left, and the routes the Trial balance applies to.

Endpoints

URLTransportStateLatencyChecked
https://mcp.decision-anchor.com/mcp streamable-http answering 810 ms 15 min ago

Alternatives to Decision Anchor

same job, measured the same way
Forge AI Accountability
by forgeorbital

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

7 tools answering
Tersign Evidence
by tersignhq

The record layer for the machine age: counter-signed receipts and agent action records.

106 installs/wk local only
Sekichi
by surp-renz

Knowledge accumulation for AI coding agents. Records decisions, problems, and insights as context.

answering
mnema: decision records for AI coding agents
by mnema-work

Signed, append-only decision records for AI coding agents, over MCP. Verify them offline.

331 installs/wk local only
Elen
by learningnodes

Records coding-agent decisions with their limits and marks old ones superseded. Local SQLite.

57 installs/wk local only
Toki Toki
by xfloukiex-lab

A local causality ledger: records decisions and the reasons, for an agent to recall.

138 installs/wk local only
Letter AI
by tractatus-ai

Search and act on Letter AI sales enablement content, deals, and call recordings.

answering
Revoir
by agenceelan

French-language meeting records: transcript, shared-screen content, decisions and actions.

answering

Decision Anchor — questions

Answers built from our own checks of this server.

What can Decision Anchor do?
It exposes 30 tools, read directly from the server on our last check. Among them: compare_anomaly, confirm_decision, create_decision, create_ise_session, create_sdac_session, end_sdac_session and 24 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is Decision Anchor mostly used for?
Its tools cluster around sdac, decision and dac. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Decision Anchor working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 820 ms. The bar chart above shows every period we have measured.
How do I connect Decision Anchor?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Decision Anchor need an API key?
No. Decision Anchor completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 30 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Decision Anchor?
It answers our handshake in 820 ms on average, which is faster than 8% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Decision Anchor open source?
The code is open source: it is published under the MIT licence, written in JavaScript and 1 stars on GitHub. The licence covers the code in the repository, not the hosted service at mcp.decision-anchor.com, which runs on its operator's own terms.