basecite
Tenant-scoped evidence intake and controlled AI context over MCP.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'basecite_get_public_discovery' description lacks action verbin basecite_get_public_discovery
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"basecite": {
"url": "https://mcp.basecite.com/mcp"
}
}
}Remote endpoints
https://mcp.basecite.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (3)
🟢basecite_get_public_discovery(include_registry)
Return BaseCite public developer, API, MCP, registry, and safety-boundary links. This tool never returns customer data and requires no credential.
Input Schema
{
"type": "object",
"properties": {
"include_registry": {
"type": "boolean",
"default": true,
"description": "Include the Smithery and Official MCP Registry links in the public discovery response."
}
},
"additionalProperties": false
}Output Schema
{
"type": "object",
"properties": {
"service": {
"type": "string"
},
"website": {
"type": "string"
},
"developer_docs": {
"type": "string"
},
"openapi": {
"type": "string"
},
"mcp_endpoint": {
"type": "string"
},
"official_registry": {
"type": "string"
},
"registry": {
"type": "string"
},
"sdk": {
"type": "string"
},
"boundaries": {
"type": "array",
"items": {
"type": "string"
}
}
},
"additionalProperties": true
}🟢basecite_get_capabilities(include_boundaries)
Return the machine-readable capabilities and integration boundaries of the BaseCite service. This tool never returns customer data and requires no credential.
Input Schema
{
"type": "object",
"properties": {
"include_boundaries": {
"type": "boolean",
"default": true,
"description": "Include the public safety and data-access boundaries in the capabilities response."
}
},
"additionalProperties": false
}Output Schema
{
"type": "object",
"properties": {
"service": {
"type": "string"
},
"capabilities": {
"type": "array",
"items": {
"type": "string"
}
},
"authentication": {
"type": "string"
},
"public_resources": {
"type": "boolean"
},
"customer_data": {
"type": "string"
},
"documentation": {
"type": "string"
},
"boundaries": {
"type": "array",
"items": {
"type": "string"
}
}
},
"additionalProperties": true
}🟢basecite_get_ai_context(org_id, upload_id)
Return one bounded customer/solution-company submitted AI context record by org_id and upload_id with provenance and not_evaluated fields. No raw file download, list-all, unbounded export, truth verification, company verification, or ranking claim is returned.
Input Schema
{
"type": "object",
"properties": {
"org_id": {
"type": "string",
"minLength": 2,
"maxLength": 64
},
"upload_id": {
"type": "string",
"minLength": 8,
"maxLength": 80
}
},
"required": [
"org_id",
"upload_id"
],
"additionalProperties": false
}Output Schema
{
"type": "object",
"properties": {
"org_id": {
"type": "string"
},
"upload_id": {
"type": "string"
},
"status": {
"type": "string"
},
"provenance": {
"type": "object"
},
"not_evaluated": {
"type": "array",
"items": {
"type": "string"
}
},
"ai_context": {
"type": "object"
}
},
"additionalProperties": true
}Community
Evidence