Databases
taskflow-ai.com
An MCP server that provides CRUD access to workspace tables and records, allowing users to inspect permissions, list tables and records, fetch individual records, and create new records.
ENDPOINT 1
https://taskflow-ai.com/mcp
MCP server metadata
- Name
- taskflow-ai
- Version
- 1.0.0
TaskFlow AI exposes the workspace CRM over MCP. Call whoami to see which workspace and permissions the API key grants, then list_tables to discover field slugs before reading or writing records. Authenticate with Authorization: Bearer <API key> from https://taskflow-ai.com/dashboard/api-keys.
Known tools 7
whoamiReturn the workspace this API key belongs to and which permissions (read/create/update/delete) and tables it may touch.
Potential side effectslist_tablesList every table in the workspace together with its fields (slug, name, type, required, select options).
Inferred read-onlylist_recordsList records from one table, with optional free-text search, ordering and pagination.
Inferred read-onlysend_whatsapp_messageSend a WhatsApp text message from one of the workspace’s connected numbers.
Potential side effectsCONNECT 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.taskflow-ai]
url = "https://taskflow-ai.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"taskflow-ai": {
"type": "http",
"url": "https://taskflow-ai.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: taskflow-ai
Remote MCP URL: https://taskflow-ai.com/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": {
"taskflow-ai": {
"url": "https://taskflow-ai.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"taskflow-ai": {
"type": "http",
"url": "https://taskflow-ai.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "taskflow-ai",
"transport": "streamable-http",
"url": "https://taskflow-ai.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for taskflow-ai.com was fetched 2026-10-02T01:03:47.111Z.
taskflow-ai.com is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.