Marketing
veneris.io
Reads saved prospects, campaign summaries, and delivery/reply performance metrics for an authorized marketing workspace.
ENDPOINT 1
https://app.veneris.io/mcp
MCP server metadata
- Name
- veneris
- Version
- 0.1.1
Known tools 7
get_workspaceRead the single Veneris workspace explicitly authorized by this connection.
Inferred read-onlylist_prospectsRead company-level prospects already saved in the authorized workspace.
Inferred read-onlyget_prospect_evidenceRead a saved prospect source, observation date, event date when recorded, and separate qualification inference.
Inferred read-onlylist_pending_reviewsRead ready and still-writing draft counts in campaigns awaiting manual review.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.veneris]
url = "https://app.veneris.io/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"veneris": {
"type": "http",
"url": "https://app.veneris.io/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: veneris
Remote MCP URL: https://app.veneris.io/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"veneris": {
"url": "https://app.veneris.io/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"veneris": {
"type": "http",
"url": "https://app.veneris.io/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "veneris",
"transport": "streamable-http",
"url": "https://app.veneris.io/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.