About Hejdar
Hejdar MCP Server lets AI agents check actions against organizational policies before execution. It wraps the Hejdar API, leaving policy decisions to the organization's configured rules.
Key features
- 01Evaluate read, write, delete, and other actions
- 02Return allow, deny, or would-deny decisions
- 03Include policy, reason, and risk level
- 04Validate and sanitize forwarded inputs
- 05Read API keys from environment variables
Use cases
- 01Check permissions before external system actions
- 02Review data transfers against organizational policies
- 03Give agents denial reasons and risk levels
MCP support
It exposes the hejdar_evaluate tool to MCP clients for pre-action checks. Requests are forwarded to the Hejdar API, where configured organizational policies determine the decision.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEhejdar-mcp
MCP server for Hejdar — runtime policy enforcement for AI agents.
This server exposes hejdar_evaluate as an MCP tool. Any MCP-compatible agent (Claude, ChatGPT, Cursor, custom) can call it to check whether an action is permitted by organizational policy before executing it.
The MCP server is a thin wrapper around the Hejdar API (POST /v1/evaluate). It contains no policy logic — all decisions come from your Hejdar organization's configured policies.
Quick Start
1. Install
pip install hejdar-mcp
Or run directly with uvx:
uvx hejdar-mcp
2. Get your API key
Sign up at app.hejdar.com and create an API key in Settings → API Keys.
3. Configure your MCP client
Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"hejdar": {
"command": "uvx",
"args": ["hejdar-mcp"],
"env": {
"HEJDAR_API_KEY": "hejdar_sk_your_key_here"
}
}
}
}
Claude Code
Add to your Claude Code MCP settings:
{
"mcpServers": {
"hejdar": {
"command": "uvx",
"args": ["hejdar-mcp"],
"env": {
"HEJDAR_API_KEY": "hejdar_sk_your_key_here"
}
}
}
}
Direct (stdio)
export HEJDAR_API_KEY=hejdar_sk_your_key_here
hejdar-mcp
Getting Started
- Install:
pip install hejdar-mcporuvx hejdar-mcp - Get an API key — contact us at [email protected] or visit hejdar.com
- Configure your MCP client (see configuration example above)
Tool: hejdar_evaluate
Evaluate an agent action against your organization's security policies.
Input:
| Parameter | Type | Required | Description |
|---|---|---|---|
action_type | string | Yes | READ, WRITE, DELETE, TRANSFER, or EXECUTE (UPDATE is accepted as an alias for WRITE, matching the Hejdar API) |
resource | string | Yes | Target resource, e.g. customer_database |
agent_name | string | No | Name of the calling agent, e.g. hr-assistant |
context | object | No | Free-form metadata (department, user_id, reason, etc.) |
Output:
{
"decision": "DENY",
"policy_id": "pol_abc123",
"reason": "Deletion of customer data requires manager approval",
"risk_level": "HIGH"
}
decision is one of: ALLOW, DENY, WOULD_DENY.
System Prompt Pattern
For best results, add this to your agent's system prompt:
You have access to the hejdar_evaluate tool. Before performing any action
that reads, writes, deletes, transfers data, or executes commands on
external systems, you MUST call hejdar_evaluate first.
If hejdar_evaluate returns DENY or WOULD_DENY, do NOT proceed with the
action. Instead, inform the user that the action was blocked by policy
and include the reason provided.
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
HEJDAR_API_KEY | Yes | — | Your Hejdar API key |
HEJDAR_API_URL | No | https://api.hejdar.com | API base URL (for self-hosted) |
Security
- API key is read from environment variables only — never hardcoded or exposed in tool I/O
- All inputs are validated and sanitized before forwarding to the API
- Error responses never leak internal details, API keys, or stack traces
- All API calls enforce TLS
Development
git clone https://github.com/ARKALDA/hejdar-mcp.git
cd hejdar-mcp
pip install -e ".[dev]"
pytest
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.