GuardEntry MCP Server
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| MCP_PORT | No | HTTP server port | 3001 |
| MCP_TOOLS | No | Comma-separated tool allowlist | (all tools) |
| GUARDENTRY_API_KEY | Yes | API key from GuardEntry dashboard | |
| GUARDENTRY_BASE_URL | No | Override for local/staging | https://app.guardentry.ai |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| guardentry_chatA | Send a natural language message to GuardEntry. Can query compliance data, create risks/controls/evidence, generate reports. Write actions are queued for dashboard approval. |
| guardentry_list_risksB | List the organization's risk register. Returns risks with severity scores, status, and descriptions. |
| guardentry_compliance_statusA | Get compliance readiness status for a specific framework or all frameworks. |
| guardentry_list_pendingA | List pending API actions awaiting dashboard approval. |
| guardentry_action_statusB | Check the status of a specific API action by ID. |
| guardentry_invoke_agentA | Invoke a GuardEntry agent by ID or type. The agent executes its configured skills (vulnerability scanning, compliance checks, risk analysis, etc.) and returns results. Write actions are queued for dashboard approval. |
| guardentry_invoke_skillA | Invoke a single GuardEntry skill directly (e.g., compliance_check, risk_analysis, scan_vulnerabilities). Read skills execute immediately; write skills are queued for approval. |
| guardentry_list_skillsA | List all available GuardEntry agent skills with descriptions, grouped by category (research, analysis, write, output). |
| guardentry_evaluate_actionA | Evaluate whether a proposed agent action is allowed, blocked, or requires approval based on the agent's policy. Returns a decision with reasoning. Use before any agent executes a sensitive task, tool call, or prompt. |
| guardentry_get_agent_policyA | Retrieve the effective policy for an agent. If no explicit policy exists, returns the inferred default policy that was auto-generated for this agent. |
| guardentry_confirm_policyA | Confirm an inferred agent policy, making it the active confirmed policy. Use after reviewing an auto-generated policy to promote it from 'inferred' to 'confirmed'. |
| guardentry_update_policyA | Update an agent policy's rules — blocked actions, allowed tools, require-approval patterns, risk tolerance, and mode. A version snapshot is saved before each update. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/guardentryai/mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server