HREVN MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
HREVN MCP Server
Minimal stdio MCP server for HREVN, backed by the live managed runtime at
https://api.hrevn.com.
Why this exists
This repo exposes HREVN as real MCP tools instead of ad hoc helper scripts. It stays intentionally thin:
canonical semantics remain in the HREVN managed runtime
the MCP layer only exposes stable tool contracts
consequential results come back as structured output, including
risk_flags,remedy_payload, andcheck_id
Related MCP server: CodexPro Runtime
Included tools
baseline_checkprofile_validategenerate_bundleverify_bundle
Environment
export HREVN_API_BASE_URL="https://api.hrevn.com"
export HREVN_API_KEY="replace-with-issued-alpha-key"Optional environment variables:
HREVN_MCP_TIMEOUT_SECONDSHREVN_MCP_SERVER_NAMEHREVN_MCP_SERVER_VERSION
Install
Editable install
cd hrevn-mcp-server
python3 -m pip install -e .From PyPI
python3 -m pip install hrevn-mcp-serverThe console entry point is:
hrevn-mcp-serverRun
hrevn-mcp-serverThe server uses MCP stdio transport.
Verify before using a client
hrevn-mcp-server --version
hrevn-mcp-server --list-tools
hrevn-mcp-server --self-testIf you are running directly from source without an installed entry point:
PYTHONPATH=src python3 -m hrevn_mcp_server.server --list-tools
PYTHONPATH=src python3 -m hrevn_mcp_server.server --self-testThe self-test runs a live baseline_check against the configured HREVN
managed API.
Tool contracts
baseline_check
Minimal payload:
{
"task_type": "ai_workflow",
"profile": "eu_readiness_profile",
"record": {
"agent_name": "example_agent",
"summary": "baseline smoke test"
},
"metadata": {
"surface": "mcp",
"stage": "pre_completion"
}
}profile_validate
Minimal payload:
{
"profile": "eu_readiness_profile",
"record": {},
"metadata": {}
}generate_bundle
Minimal payload:
{
"record": {},
"traces": [],
"options": {
"include_report_pdf": false
}
}verify_bundle
Minimal payload:
{
"source": "/path/to/bundle-or-artifact"
}Example MCP config
Use a local stdio configuration like this:
{
"mcpServers": {
"hrevn": {
"command": "python3",
"args": [
"-m",
"hrevn_mcp_server.server"
],
"env": {
"PYTHONPATH": "/ABSOLUTE/PATH/TO/hrevn-mcp-server/src",
"HREVN_API_BASE_URL": "https://api.hrevn.com",
"HREVN_API_KEY": "YOUR_HREVN_API_KEY"
}
}
}
}See also:
Antigravity status
HREVN can already be explored experimentally in Google Antigravity through custom MCP configuration.
What is already validated:
the HREVN MCP server runs locally
the server exposes real tools backed by
https://api.hrevn.combaseline_checkreturns real structured resultsAntigravity preview builds expose MCP configuration surfaces in the UI
What is not claimed yet:
official native Antigravity integration
guaranteed MCP tool injection into every Antigravity agent instance
Antigravity-specific guardrail hooks beyond what has been directly observed
Registry metadata
This repo includes:
as a machine-readable manifest describing the MCP server, package, transport, and repository metadata.
Design rule
This server must not reimplement HREVN truth locally. It should expose stable MCP tools that call the managed API.
This server cannot be deployed
Maintenance
Related MCP Connectors
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MCP server for mandates, delegation, policy-gated execution, credential grants, and audit.
Guarded MCP server for agent-readable business truth, provenance, readiness, and discovery.
MCP server for StyleKit styles, tokens, recipes, lint and repair over stdio or HTTP.
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