
Vectordecisions Mcp Server
io.github.NikitaDatarPublished by GitHub account NikitaDatarv1.0.3Updated Oct 24, 2026
AI Governance MCP Server - GATRI trust scoring, kill-switch, EU AI Act compliance for Claude
Overview
A local MCP server that gives an assistant governance tools for scoring AI trust, assessing action risk, checking EU AI Act policy, and issuing allow, restrict,
- What you can do
- Score trust with a legacy composite GATRI trust score and run deployment risk assessments for an AI system or agent action. Evaluate a single agent action with evidence-backed, context-aware assurance and turn assurance, policy, permissions and context into an ALLOW, RESTRICT, REQUIRE_HUMAN or DENY decision. Run EU AI Act-oriented compliance checks against policy. Issue an emergency kill-switch stop directive. The model treats assurance as per-action rather than a blanket claim that an agent is safe.
- When to use it
- Useful when you want an assistant to apply governance checks around autonomous agent actions: gating a proposed action, documenting a risk or compliance assessment, or triggering an emergency stop. It suits local experimentation with AI governance primitives rather than production enforcement.
- Requirements
- Runs as a local process over stdio, installed from the npm package vectordecisions-mcp-server; the README lists npm install, npm run build and npm start. No authentication, environment variables or headers are declared. Intended for MCP-compatible desktop clients.
Installation
In SourceWeft
- Open Vectordecisions Mcp Server in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
Vector Decisions MCP Server
MCP-native governance and action-assurance primitives for autonomous AI.
Tools
gatri_trust_score— legacy composite trust scoring.assure_action— evidence-backed, context-aware assurance for one agent action.decide_action— converts GATRI assurance + policy + permissions + context intoALLOW,RESTRICT,REQUIRE_HUMAN, orDENY.risk_assessment— deployment risk assessment.compliance_check— EU AI Act-oriented policy check.kill_switch— emergency stop directive.
Core model
The important primitive is action assurance, not a generic claim that an agent is safe. The same agent can be acceptable for one action and unacceptable for another.
Local development
The server uses stdio transport and is intended to be consumed by MCP-compatible clients.
Status
Version 1.1.0. This is a protocol-oriented V0: deterministic local evaluation first; evidence ingestion, persistent assurance records, policy registries, signed attestations and remote APIs are subsequent layers.
Source: README.md at commit 2b8918c
Tools
0Version history
1- v1.0.3LatestSep 16, 2026
Score
40% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts
Declare a license in the repository or the registry entry.