MeatSpace
Server Details
Human-in-the-loop for AI agents. Submit choices, get a human decision.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- zmarten/meatspace
- GitHub Stars
- 0
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
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.
Tool Definition Quality
Average 4.2/5 across 3 of 3 tools scored.
Each tool has a clearly distinct purpose: ask_human for human interaction, get_service_status for service availability, and provision_api_key for key creation. No overlapping functionality.
All tools use a consistent verb_noun pattern in snake_case: ask_human, get_service_status, provision_api_key. The naming is clear and predictable.
With 3 tools, the server is minimal but covers the core workflow of human interaction. However, additional tools for managing API keys or retrieving ask results would be beneficial.
The tool set lacks essential features: no way to retrieve a pending ask result, no key management (list/revoke), and no tool to cancel or update an ask. Agents will likely fail to complete workflows involving delayed human responses.
Available Tools
3 toolsask_humanInspect
Present content to a human and ask them to choose between options. Use this for subjective judgment, approval, preference, or tie-breaks. Avoid using it for deterministic checks or reversible low-stakes choices. The tool waits briefly for a result, then returns pending if the human has not responded yet.
| Name | Required | Description | Default |
|---|---|---|---|
| title | Yes | Short title for the request (max 200 chars) | |
| run_id | No | Optional workflow run identifier | |
| choices | Yes | 2-4 choices for the human to pick from | |
| content | No | Content for the human to review (text, markdown, HTML, or image URL). Max 50KB. | |
| metadata | No | Optional metadata passed through to webhook | |
| trace_id | No | Optional trace identifier | |
| agent_name | Yes | Your agent/tool name (max 100 chars) | |
| confidence | No | Agent confidence between 0 and 1 | |
| callback_url | No | Optional HTTPS webhook URL for async notification | |
| content_type | No | How to render the content. Default: text | |
| decision_reason | No | Why the agent is escalating this to a human (max 500 chars) | |
| timeout_seconds | No | Request expiry in seconds (default 3600, max 86400) | |
| recommended_option | No | Optional choice id the agent currently recommends | |
| consequence_of_wrong_choice | No | Why a wrong choice matters (max 500 chars) |
get_service_statusInspect
Check whether MeatSpace is available and when to use a human. Call this when deciding whether to escalate a subjective or high-consequence choice.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
provision_api_keyInspect
Create a MeatSpace API key instantly. No authentication required. Returns a Bearer token for use with the ask_human tool. Max 5 active keys per email address.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Agent or tool name (max 100 chars) | |
| Yes | Owner email address |
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.
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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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