io.github.vaaraio/vaara

@github/mcp-server

Runtime governance proxy for MCP servers. Risk scoring, hash-chained audit, per-tenant policy.

9 5 tools GitHub npm PyPI

No known CVEs

No license

Actively maintained

Last commit 0d ago

Works with most clients

Transport: stdio, sse, http

5 tools · ~388 tok

Grade A · 0.2% of 200K ctx

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Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-vaaraio-vaara": {
      "args": [
        "-y",
        "@github/mcp-server"
      ],
      "command": "npx"
    }
  }
}

Are you the author?

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-vaaraio-vaara)](https://mcppedia.org/s/io-github-vaaraio-vaara)

Read me

What io.github.vaaraio/vaara does

Vaara is the open-source runtime evidence layer for AI agents under the EU AI Act. It sits in front of an agent's tool calls, gates each one against your policy, and writes a tamper-evident record an outside party can verify. When a regulator, an auditor, or a public-sector buyer needs proof of what your agent actually did and why, that record is the answer. Runs entirely in your own environment. No SaaS, no telemetry.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@github/mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

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Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

87/100across 5 weighted dimensions

How we score →

0255075100

−13

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @github/mcp-server against OSV.dev.

Inventory

Tools (5)

Click any tool to inspect its schema.

~388 tokens total

Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.vaaraio/vaara safe to use?: io.github.vaaraio/vaara has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.vaaraio/vaara?: io.github.vaaraio/vaara supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.vaaraio/vaara do?: io.github.vaaraio/vaara provides 5 tools: vaara_score, report_outcome, compliance_report, trail_export, compliance_dashboard. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.vaaraio/vaara?: io.github.vaaraio/vaara is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.vaaraio/vaara actively maintained?: io.github.vaaraio/vaara is actively maintained — last commit was 0 days ago. It has 9 GitHub stars.

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Community

Discussion

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Quick start

pip install vaara

import vaara @vaara.govern def transfer_funds(to: str, amount: float) -> str: ...

That is the whole thing. Every call to a governed function is risk-scored and decided against your policy before the body runs. A blocked call raises vaara.Blocked; an allowed call runs, and the decision, the call, and the outcome land in a signed record anyone can verify offline. Python 3.10+, zero runtime dependencies.

Prefer the explicit pipeline?

The decorator drives the same engine you can call directly when you want the decision object in hand.

from vaara.pipeline import InterceptionPipeline

pipeline = InterceptionPipeline()
result = pipeline.intercept(
    agent_id="agent-007",
    tool_name="fs.write_file",
    parameters={"path": "/etc/service.yaml", "content": "..."},
    agent_confidence=0.8,
)
if result.allowed:
    pipeline.report_outcome(result.action_id, outcome_severity=0.0)
else:
    print(result.reason)

Every call gets a risk score and an allow / block / escalate decision against your policy, then the call, the decision, and the real outcome are written to the audit trail. report_outcome closes the loop: the scorer reweights based on which signals actually predicted the outcome. Releases ship SLSA Build Level 3 provenance, verifiable with slsa-verifier verify-artifact. Optional ML classifier: pip install 'vaara[ml]'.

Verify it without trusting the producer

Writing a trail is the easy half. The half that matters is letting someone who does not trust you check it, with no key, no access, and none of your code. Every Vaara record is content-addressed and fail-closed on authenticity, and ships with public conformance vectors plus a standalone checker that imports no Vaara code, so an independent party reproduces every verdict offline.

vaara verif

... [View full README on GitHub](https://github.com/vaaraio/vaara#readme)

Frequently Asked Questions

Is io.github.vaaraio/vaara safe to use?

io.github.vaaraio/vaara has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.vaaraio/vaara?

io.github.vaaraio/vaara supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.vaaraio/vaara do?

io.github.vaaraio/vaara provides 5 tools: vaara_score, report_outcome, compliance_report, trail_export, compliance_dashboard. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.vaaraio/vaara?

io.github.vaaraio/vaara is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.vaaraio/vaara actively maintained?

io.github.vaaraio/vaara is actively maintained — last commit was 0 days ago. It has 9 GitHub stars.

Quick start

pip install vaara

import vaara @vaara.govern def transfer_funds(to: str, amount: float) -> str: ...

Prefer the explicit pipeline?

The decorator drives the same engine you can call directly when you want the decision object in hand.

from vaara.pipeline import InterceptionPipeline

pipeline = InterceptionPipeline()
result = pipeline.intercept(
    agent_id="agent-007",
    tool_name="fs.write_file",
    parameters={"path": "/etc/service.yaml", "content": "..."},
    agent_confidence=0.8,
)
if result.allowed:
    pipeline.report_outcome(result.action_id, outcome_severity=0.0)
else:
    print(result.reason)

Verify it without trusting the producer

vaara verif

... [View full README on GitHub](https://github.com/vaaraio/vaara#readme)