AI & Machine Learning

crevio.co

Manage and interact with Crevio AI agents by identifying user credentials, delegating jobs, and handling chat sessions.

1 endpoint14 known toolsFirst detected August 23, 2026Last detected September 3, 2026

ENDPOINT 1

https://mcp.crevio.co/mcp

No auth detected

MCP server metadata

Name: crevio-api
Version: 2.0.0

Capabilities

tools

Known tools 14

whoami

Identify the account, user, and credential behind this connection, with plan, credit balance, rate limits, and the tools available.

Inferred read-only

ask_crevio

Delegate a job to the Crevio agent and wait for the result.

Inferred read-only

start_chat

Open a chat with the Crevio agent and queue a run, without waiting.

Inferred read-only

list_chats

List the account's chats, newest first.

Inferred read-only

get_chat

Get a chat's title, kind, and latest run.

Inferred read-only

send_message

Continue a chat with follow-up instructions or answers — the agent keeps its context.

Inferred read-only

list_messages

Read a chat's messages, oldest first.

Inferred read-only

wait_for_run

Wait for a run to settle (completed, failed, or needs_input) and return it with the agent's final reply.

Inferred read-only

get_run

Fetch a run's current status, summary, pending approvals, and (once settled) the agent's final reply.

Inferred read-only

list_runs

List the account's task runs, newest first — delegated jobs and scheduled tasks alike.

Inferred read-only

resolve_approvals

Approve or deny the integration actions a run is paused on (status needs_input with pending_approval_ids).

Inferred read-only

cancel_run

Stop a run that is pending, running, or waiting for input.

Inferred read-only

api_search

Discover available Crevio API endpoints.

Inferred read-only

api_execute

Execute Ruby in a sandboxed VM against the Crevio REST API.

Potential side effects

CONNECT 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.crevio-api]
url = "https://mcp.crevio.co/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "crevio-api": {
      "type": "http",
      "url": "https://mcp.crevio.co/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: crevio-api
Remote MCP URL: https://mcp.crevio.co/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": {
    "crevio-api": {
      "url": "https://mcp.crevio.co/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "crevio-api": {
      "type": "http",
      "url": "https://mcp.crevio.co/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "crevio-api",
  "transport": "streamable-http",
  "url": "https://mcp.crevio.co/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.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.