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io.github.zyntarasystems/human-dispatch-mcp

NPM · HUMAN-DISPATCH-MCP · SCANNED SEP 20

MCP server that dispatches physical-world tasks to humans through a unified API

Available components

+2 this week 81 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 39 of 123 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability62
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1990 tokens (~398/item across 5 items; 5 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management93
  • Stability observed for 28 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the io.github.zyntarasystems/human-dispatch-mcp server?

io.github.zyntarasystems/human-dispatch-mcp runs locally as an npm package, launched with npx -y human-dispatch-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · human-dispatch-mcp

# add to Claude Code
claude mcp add zyntarasystems-human-dispatch-mcp -- npx -y human-dispatch-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "zyntarasystems-human-dispatch-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "human-dispatch-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "zyntarasystems-human-dispatch-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "human-dispatch-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add zyntarasystems-human-dispatch-mcp -- npx -y human-dispatch-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "zyntarasystems-human-dispatch-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "human-dispatch-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add zyntarasystems-human-dispatch-mcp --command npx --arg -y --arg human-dispatch-mcp
# ~/.hermes/config.yaml
mcp_servers:
  zyntarasystems-human-dispatch-mcp:
    command: "npx"
    args: ["-y", "human-dispatch-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "zyntarasystems-human-dispatch-mcp": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "human-dispatch-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add zyntarasystems-human-dispatch-mcp -t stdio -c npx -a -y human-dispatch-mcp
// mcp.json
{
  "mcpServers": {
    "zyntarasystems-human-dispatch-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "human-dispatch-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

  • 18 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 16 Sept 26 −1
    • CVE-2026-82562 no longer affects this package security
    • CVE-2026-82417 no longer affects this package security
    • Known CVEs: fail → pass security
    • Stability: pass → 0.80 functional
  • 15 Sept 26 0
    • Stability: 0.97 → pass security
  • 14 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

  • 9 Sept 26 −3
    • Stability: pass → 0.80 functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed npm/human-dispatch-mcp@0.2.2

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Dependencies 123 packages
Packages resolved 123
Stale 39
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 5 exposed · ~1,990 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
human_cancel_task ~173

Cancel a pending or in-progress human task. Attempts to cancel the task both in the local system and on the backend service. Cancellation may not be possible if the task is already completed. PARAMETERS: - task_id: The UUID of the task to cancel. RETURNS: { task_id, cancelled: boolean, message: string } EXAMPLES: 1. Cancel a task: { task_id: "550e8400-e29b-41d4-a716-446655440000" } DON'T USE WHEN: - The task is already completed (check status first with human_get_task_status) - You want to modify a task (cancellation is permanent — dispatch a new task instead)

NameTypeReqDescription
task_idstringyesThe UUID of the task to look up, as returned by human_dispatch_task

No output schema declared.

No examples provided.

human_dispatch_task ~1,018

Dispatch a task to a human worker via the best available backend service. This is the primary tool for sending work to humans. You describe what needs to be done, and the system routes it to the most appropriate backend (Amazon Mechanical Turk for digital microtasks, RentAHuman.ai for physical/local tasks, or a manual fallback). PARAMETERS: - description: What the human should do. Be specific about location, timing, and deliverables. - category: Task category (errand, photo_video, data_collection, verification, delivery, digital_micro, in_person, custom) - task_type: physical (requires presence), digital (remote), or hybrid (both) - location: Where to perform the task (required for physical tasks). Include address or coordinates. - budget: Maximum USD to pay. Different backends have different ranges. - deadline: When it must be done, with urgency level. - proof_required: What evidence the worker must submit (photo, video, gps_checkin, text_report, receipt, signature). - quality_sla: low (fast/cheap), medium (default), high (verified workers, multiple proofs). - preferred_backends: Optional ordered list of backends to try first. - fallback_chain: Optional ordered fallback list if preferred backends fail. - callback_url: Optional webhook URL for status notifications. - metadata: Optional key-value pairs for your own tracking. EXAMPLES: 1. Photo task: { description: "Take a photo of the menu board at the Starbucks on 5th Ave and 42nd St, NYC", category: "photo_video", task_type: "physical", location: { address: "5th Ave & 42nd St, New York, NY" }, budget: { max_usd: 15, currency: "USD" }, deadline: { complete_by: "2025-01-15T18:00:00Z", urgency: "medium" }, proof_required: ["photo", "gps_checkin"], quality_sla: "medium" } 2. Data collection: { description: "Count the number of electric vehicle charging stations within 1km of Times Square", category: "data_collection", task_type: "physical", location: { address: "Times Square, NYC", radius_km: 1 }, budget: { max_us…

NameTypeReqDescription
budgetobjectyesBudget constraints for the task
callback_urlWebhook URL to receive status update notifications. Set to null or omit if you will poll for status instead.
categorystringyesCategory of the task — determines which backends are best suited
deadlineobjectyesWhen the task needs to be completed
descriptionstringyesClear, detailed description of what the human worker should do. Be specific about location, timing, and expected output. Example: 'Take a photo of the menu board at the Starbucks on 5th Ave and 42nd…
fallback_chainarrayOrdered list of fallback backends if the preferred ones fail. The 'manual' backend is always available as a last resort.
locationWhere the task should be performed. Required for physical tasks. Set to null or omit for digital tasks.
metadataobjectArbitrary key-value pairs for your own tracking (e.g. {'order_id': '12345', 'agent_name': 'my-bot'})
preferred_backendsarrayPreferred backend services to route this task to, tried in order. If omitted, the router picks the best backend automatically.
proof_requiredarrayyesTypes of proof the worker must submit upon completion. At least one is required. Example: ['photo', 'gps_checkin']
quality_slastringyesQuality/speed tradeoff: low=fastest/cheapest, medium=default, high=verified workers with multi-proof
task_typestringyesWhether the task requires physical presence, is digital-only, or both

No output schema declared.

No examples provided.

human_get_task_status ~225

Get the current status of a previously dispatched human task. Returns the full task state including: current status, which backend is handling it, worker info (if assigned), proof submissions (if any), actual cost, and timing info. If the task has been routed to a backend, this tool fetches fresh status from that backend and merges any new data (worker assignment, proof uploads, completion). PARAMETERS: - task_id: The UUID returned by human_dispatch_task. RETURNS: Full task object with status, backend_id, worker_id, proof array, cost, timestamps, and routing attempts. EXAMPLES: 1. Check on a task: { task_id: "550e8400-e29b-41d4-a716-446655440000" } DON'T USE WHEN: - You don't have a task_id (use human_list_tasks to find tasks) - You want to check all tasks at once (use human_list_tasks instead)

NameTypeReqDescription
task_idstringyesThe UUID of the task to look up, as returned by human_dispatch_task

No output schema declared.

No examples provided.

human_list_backends ~222

List all available backend services and their capabilities. Shows which backends are configured (have API keys), what types of tasks they support, their regional availability, budget ranges, and average completion times. Use this to understand what backends are available before dispatching a task, or to debug why a task was routed to a particular backend. NO PARAMETERS REQUIRED. RETURNS: Array of backend capabilities including: - id: Backend identifier - name: Human-readable name - supports_physical/digital: What task types it handles - supports_location: Whether it can handle location-specific tasks - available_regions: Where it operates - min/max_budget_usd: Budget range - avg_completion_minutes: Typical turnaround time - requires_api_key: Whether an API key is needed - configured: Whether the API key is present and the backend is ready EXAMPLES: 1. List all backends: {} (no parameters needed) DON'T USE WHEN: - You already know which backend to use (just set preferred_backends in human_dispatch_task)

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

human_list_tasks ~352

List all dispatched human tasks with optional filters and pagination. Returns tasks sorted by creation time (newest first). Use filters to narrow results by status, backend, or category. PARAMETERS: - status: (optional) Filter by task status: pending, routed, assigned, in_progress, awaiting_review, completed, failed, cancelled - backend_id: (optional) Filter by backend: mturk, rentahuman, manual - category: (optional) Filter by category: errand, photo_video, data_collection, verification, delivery, digital_micro, in_person, custom - limit: (optional) Max results to return, 1-100, default 20 - offset: (optional) Skip N results for pagination, default 0 RETURNS: { total, count, tasks[], has_more, next_offset } EXAMPLES: 1. List all tasks: {} 2. List completed tasks: { status: "completed" } 3. List physical tasks on RentAHuman: { backend_id: "rentahuman", limit: 10 } 4. Paginate: { limit: 5, offset: 5 } DON'T USE WHEN: - You know the exact task_id (use human_get_task_status for a single task)

NameTypeReqDescription
backend_idstringFilter tasks by which backend is handling them
categorystringFilter tasks by their category
limitintegerMaximum number of tasks to return (1-100, default 20)
offsetintegerNumber of tasks to skip for pagination (default 0)
statusstringFilter tasks by status (e.g. 'pending', 'completed')

No output schema declared.

No examples provided.

Common questions

What is the io.github.zyntarasystems/human-dispatch-mcp server?

io.github.zyntarasystems/human-dispatch-mcp is listed in the public MCP registry as io.github.zyntarasystems/human-dispatch-mcp. MCP server that dispatches physical-world tasks to humans through a unified API. This page covers its npm package (human-dispatch-mcp).

Is the io.github.zyntarasystems/human-dispatch-mcp server safe to use?

io.github.zyntarasystems/human-dispatch-mcp scores 81 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.zyntarasystems/human-dispatch-mcp server expose?

io.github.zyntarasystems/human-dispatch-mcp exposes 5 tools: human_dispatch_task, human_get_task_status, human_cancel_task, human_list_tasks, human_list_backends. Their descriptions and schemas cost roughly 1,990 tokens of context every time the server is loaded.

Is the io.github.zyntarasystems/human-dispatch-mcp server still maintained?

io.github.zyntarasystems/human-dispatch-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.zyntarasystems/human-dispatch-mcp server under?

io.github.zyntarasystems/human-dispatch-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.