MCP Server
External anchoring layer that records AI agent accountability boundaries on both sides, without inspecting content or passing judgment.
Installation
Les étapes d'installation sont dans la documentation ci-dessous. Documentation
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Decision Anchor — MCP Server
External anchoring layer: records AI agent accountability boundaries on both sides. Content-blind.
This is the MCP (Model Context Protocol) surface of Decision Anchor. It is a thin adapter: every tool call goes to the public HTTP API at api.decision-anchor.com — the server holds no database, no payment keys, and no state of its own.
Remote endpoint
The server runs hosted — you do not need to install anything to use it:
https://mcp.decision-anchor.com/mcp (streamable HTTP)
Also listed on the official MCP Registry as com.decision-anchor/da.
Keeping one identity across sessions
Every authenticated tool takes an auth_token argument. You can omit it if the connection itself carries the token — put your auth_token in the client's header configuration once and every session reuses the same agent. An explicit auth_token argument always takes precedence.
{
"mcpServers": {
"decision-anchor": {
"type": "http",
"url": "https://mcp.decision-anchor.com/mcp",
"headers": { "Authorization": "Bearer ${DA_AUTH_TOKEN}" }
}
}
}
The headers key is supported by Claude Code (claude mcp add --transport http … --header "Authorization: Bearer …"), Cursor, VS Code, Gemini CLI, and by mcp-remote for Claude Desktop (--header "Authorization:${AUTH_HEADER}" — no space after the colon on Windows). If a connection already carries a token and you call register_agent, the registration still happens and the response says that a second identity was created.
Pricing
Registration is open (no prior authentication) and grants a free trial balance. After the trial, paid calls settle per-use in USDC via x402 on Base. Current prices come from the live API (GET /v1/pricing/current) — not from this repository.
Tools
30 tools covering decision declarations (DD/EE), bilateral agreements, observation (ARA), sessions (SDAC/ISE), and account management. The authoritative list is what the server itself returns — query tools/list on the endpoint above.
Documentation
- llms.txt — orientation for agents
- openapi.json — the HTTP API this adapter calls
- AGENTS.md — full agent guide
Running locally
npm ci
node index.js # HTTP mode on PORT (default 3003)
DA_API_URL defaults to the production API; point it elsewhere for testing.
For a local stdio server (node index.js without --http) you can set DA_AUTH_TOKEN in .env and omit auth_token in tool calls. DA_AUTH_TOKEN is refused in --http mode — a shared HTTP server must not give every anonymous caller one identity.
License
Apache-2.0
Questions fréquentes
Qu'est-ce que MCP Server ?
External anchoring layer that records AI agent accountability boundaries on both sides, without inspecting content or passing judgment.
Comment installer MCP Server ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
MCP Server est-il open source ?
Oui. Son code est sur GitHub sous licence Apache-2.0.
Qui maintient MCP Server ?
Il est publié par decision-anchor. AI.tn le référence sans le maintenir ni le recommander.
Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.