SparrowDesk

32 tools. 14 can modify or destroy data without limits.

2 destructive tools with no built-in limits. Policy required.

Last updated:

14 can modify or destroy data
18 read-only
32 tools total

Community server · catalogue entry verified 30/06/2026

How to control SparrowDesk ↓

What SparrowDesk exposes to your agents

Read (18) Write / Execute (12) Destructive / Financial (2)
Critical Risk

The most dangerous SparrowDesk tools

14 of SparrowDesk's 32 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

How to control SparrowDesk

PolicyLayer is an MCP gateway — it sits between your AI agents and SparrowDesk, and nothing reaches the server without passing your rules. These are the rules we recommend:

Deny destructive operations
{
  "delete_contact": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations
{
  "add_conversation_reply": {
    "limits": [
      {
        "counter": "add_conversation_reply_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
{
  "get_article": {
    "limits": [
      {
        "counter": "get_article_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

  1. Create a free account and register SparrowDesk — nothing to install.
  2. Add these rules — paste them, or build them visually. Tune the limits to your setup.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
ENFORCE POLICY ON SPARROWDESK →

Instant setup, no code required.

All 32 SparrowDesk tools

READ 18 tools
Read get_article Get a single Knowledge Base article by ID Read get_bulk_job_status Get processing status for a bulk contact creation job returned by bulk_create_contacts Read get_collection Get a KB collection by ID with direct subcollections and paginated articles Read get_contact Retrieve a contact by ID from SparrowDesk Read get_conversation Retrieve a conversation (also called a ticket) by ID from SparrowDesk Read get_conversation_field Retrieve a single conversation field definition by ID Read get_me Retrieve current SparrowDesk account information (account id, subdomain, domain, company name, timezone, langu Read list_articles List KB articles for a help center; use published/draft/archived flags to filter lifecycle Read list_collections List KB collections for a help center (nested tree by default; use isRoot or collectionId for other views) Read list_companies List companies in the SparrowDesk account with optional filters and cursor pagination Read list_contact_fields Retrieve all contact fields from SparrowDesk Read list_contacts List contacts for the authenticated account (requires view contacts API scope) Read list_conversation_fields List conversation (ticket) custom fields Read list_conversation_replies List all replies for a conversation (also called a ticket) in SparrowDesk Read list_conversations List conversations (also called tickets) from SparrowDesk with optional filters Read list_helpcenters List Knowledge Base help centers for the account (needed for helpCenterId on articles/collections) Read list_members Retrieve a paginated list of all team members in the SparrowDesk account Read list_tags List conversation tags with optional search and pagination

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

Questions about SparrowDesk

Can an AI agent delete data through the SparrowDesk MCP server? +

Yes. The SparrowDesk server exposes 2 destructive tools including delete_contact, delete_conversation. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through SparrowDesk? +

The SparrowDesk server has 12 write tools including add_conversation_reply, archive_article, bulk_create_contacts. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach SparrowDesk.

How many tools does the SparrowDesk MCP server expose? +

32 tools across 3 categories: Destructive, Read, Write. 18 are read-only. 14 can modify, create, or delete data.

How do I enforce a policy on SparrowDesk? +

Register the SparrowDesk MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every SparrowDesk tool call.

Deterministic rules across all 32 SparrowDesk tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Instant setup, no code required.

32 SparrowDesk tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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