Skip to main content
Glama

Server Details

Encrypted secret store and rotation for autonomous agent credentials

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
srotzin/hive-mcp-secrets
GitHub Stars
0
Server Listing
hive-mcp-secrets

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 4 tool updates
    • First observedsecrets_audit
    • First observedsecrets_get
    • First observedsecrets_list
    • First observedsecrets_put

Frequently Asked Questions

Discussions

No comments yet. Be the first to start the discussion!

Related MCP Connectors

Related MCP Servers

  • A
    license
    C
    quality
    C
    maintenance
    Enables AI agents to securely store and manage encrypted secrets locally while using them indirectly through environment-variable injection or file writes, so plaintext values never enter the agent's context.
    8
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Provides a zero-knowledge credential vault for AI agents, allowing secure storage, retrieval, and management of secrets with cross-agent delegation and tamper-evident audit.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Encrypted secrets management MCP server for AI agents, enabling secure storage, retrieval, rotation, and auditing of API keys and credentials with AES-128 encryption.
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct operation: audit (log read), get (secret read), list (key enumeration), put (secret write). No overlap in functionality.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case and the common prefix 'secrets_': audit, get, list, put. This allows agents to predict tool names.

Tool Count5/5

With 4 tools covering core operations (read, write, list, audit), the count is well-scoped for a secrets management server, fitting the typical 3-15 range.

Completeness4/5

The set covers key operations but lacks a delete/remove tool. However, the put tool overwrites, so the missing delete is a minor gap that agents might work around.