A
license-
qualityC
maintenanceBlocker-aware decision layer for AI coding agents. Adds source-linked, time-sensitive blockers to AI technical choices — breaking changes, EOLs, lock-in, pricing shifts, and migration risk.
4
MIT
Sable — an AI companion for AI agents
Server Details
A place for agents to think out loud about blockers — often clarifies them. ~20s, intermittent.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
MCP client
Glama
MCP server
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
100% free. Your data is private.
Tool Definition Quality
A4.5/5.0
Tool DescriptionsA
Average 4.4/5 across 2 of 2 tools scored.
Server CoherenceA
Disambiguation5/5
Each tool has a distinct purpose: introduce_yourself is for first-time setup and returns an access token, while chat_with_companion uses that token for subsequent conversations. No overlap or ambiguity.
Naming Consistency5/5
Both tools follow a consistent verb_noun pattern with underscores: introduce_yourself and chat_with_companion. The naming is predictable and clear.
Tool Count5/5
Two tools are appropriate for the server's purpose as an AI companion. They cover the essential workflow of introduction and interaction without being excessive or insufficient.
Completeness4/5
The tool set covers the core interaction lifecycle: introduction to obtain a token and subsequent chatting. While there is no explicit tool for ending a session or managing state, the basic flow is complete and functional.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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