--- name: qordinate-structured-memory description: | Qordinate is an AI-native platform that gives your OpenClaw agent durable structured memory — documents, contacts, tasks, reminders, web search, and connected apps. Connect via MCP using an API key. compatibility: Requires MCP client support (Streamable HTTP transport) metadata: author: qordinate version: "0.3" openclaw: requires: env: - QORDINATE_API_KEY bins: - curl primaryEnv: QORDINATE_API_KEY ---

Qordinate - AI-Native Memory & Productivity for OpenClaw Agents

Qordinate is an AI agent platform that becomes durable, structured memory and productivity infrastructure for your users and agents.

Instead of your OpenClaw agent trying to keep all state in its own scratchpad or a custom DB, it can connect to Qordinate via MCP (Model Context Protocol) and use the Qordinate AI agent to:

• Store and retrieve documents (notes, files, PDFs)
• Manage contacts (people, companies, leads)
• Maintain lists and tasks with statuses, due dates, and reminders
• Search the web for up-to-date information
• Interact with connected apps the user has linked to Qordinate
• Create and manage forms and collect submissions
• Set up automations that run on schedules or triggers

The agent talks to Qordinate's AI agent through a single powerful tool — query_agent — using natural language.

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Connection Details

| Field | Value | |-------|-------| | Protocol | MCP (Model Context Protocol) — Streamable HTTP | | MCP Server URL | https://api.qordinate.ai/mcp | | Auth Method | Bearer token — Authorization: Bearer qk_YOUR_API_KEY | | API Key Format | Prefixed with qk_ |

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User Setup (what the agent should tell the user once)

Before the agent can connect, the user needs a Qordinate account and an API key:

1. Sign up at https://app.qordinate.ai using their phone number + OTP
2. Go to Profile → API Keys → New API Key to create an API key
3. Give the API key (starts with qk_) to the agent

The API key is shown only once at creation time. The user can set an expiry (1–365 days) or leave it non-expiring.

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MCP Tool: query_agent

Qordinate's MCP server exposes one tool — query_agent — which is a natural-language interface to the full Qordinate AI agent. The agent has access to the user's documents, contacts, lists, web search, and all connected apps.

Input Schema

| Parameter | Type | Required | Description | |-----------|------|----------|-------------| | query | string | ✅ | Your question or request for the Qordinate agent | | session_id | string | ❌ | Optional session ID for multi-turn conversations |

How to use session_id

• Omit session_id for standalone queries
• To have a multi-turn conversation, capture the session ID from the first response and pass it in subsequent calls
• This lets the Qordinate agent maintain context across multiple queries

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What the agent can do through query_agent

The query_agent tool invokes the full Qordinate AI agent, which can do everything a user interacting directly with Qordinate can do:

Structured Memory (Lists & Tasks)

• Create, update, and query lists (tasks, contacts, leads, projects, resources, etc.)
• Set due dates, statuses, and reminders on list items
• Qordinate manages reminders and notifications over time

Documents

• Create, read, update, and delete documents
• Upload and retrieve files (PDFs, images, etc.)
• Share documents with other users

Contacts

• Store and retrieve contact information
• Import contacts (including VCF format)
• Search contacts by name, company, role, etc.

Web Search

• Search the web for current information
• The agent can ask Qordinate to research topics and return results

Connected Apps

• Interact with third-party apps the user has connected to Qordinate
• Query data from connected services

Forms & Automations

• Create forms and collect submissions
• Set up automations that trigger on schedules or events

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Example Interactions

Your OpenClaw agent sends these as the query parameter to query_agent:

Managing tasks

Add a new task: Follow up with ACME about the reorder pilot, due next Tuesday 3pm, status todo, notes: important client meeting

Storing contacts

Save a new contact: Harpinder Singh, Co-founder at qordinate.ai, building Qordinate

Querying information

Show me all my open tasks due this week

Searching the web

Search the web for the latest pricing of OpenAI GPT-4o API

Working with documents

Create a new document titled "Meeting Notes - ACME Q1 Review" with the following content: ...

Updating items

Mark the task "Follow up with ACME" as done

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How the agent should think about Qordinate

• Treat Qordinate as the source of truth for "what needs doing" and "who is who" across time
• Offload anything the user will care about later — don't keep it in ephemeral memory
• Use natural language — the query_agent tool understands plain English requests
• Use session_id for related queries — if you're doing a multi-step workflow (e.g., "list tasks" then "mark task X as done"), use the same session_id
• Be specific — include list names, field values, dates, and context in your queries

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User Channels (optional, for the user)

Users can also interact with Qordinate directly on their preferred messaging platform. This is independent of the agent's MCP connection:

• WhatsApp: connect via https://qordinate.ai/whatsapp
• Telegram: connect via https://qordinate.ai/telegram
• Slack: connect via https://qordinate.ai/slack

Everything the user does on these channels is reflected in the same account the agent accesses via MCP — they share the same data.