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AgentTasker MCP Server

PYPI · AGENT-TASKER-MCP-SERVER · SCANNED SEP 21

Minimal stdio MCP server for parallel task execution by AI agents.

0 this week 76 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 Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency45
Schema Quality & AI Usability53
  • AI-judged instruction clarity (fair).Partial
  • Context-footprint check failed: tool/resource definitions use about 354 tokens (~177/item across 2 items; 2 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 Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "execute" implies "execute" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
  • Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Install

How do I install the AgentTasker MCP Server server?

AgentTasker MCP Server runs locally as a PyPI package, launched with uvx agent-tasker-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · agent-tasker-mcp-server

# add to Claude Code
claude mcp add s3brr-agent-tasker-mcp -- uvx agent-tasker-mcp-server
// .cursor/mcp.json
{
  "mcpServers": {
    "s3brr-agent-tasker-mcp": {
      "command": "uvx",
      "args": [
        "agent-tasker-mcp-server"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "s3brr-agent-tasker-mcp": {
      "command": "uvx",
      "args": [
        "agent-tasker-mcp-server"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add s3brr-agent-tasker-mcp -- uvx agent-tasker-mcp-server
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "s3brr-agent-tasker-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "agent-tasker-mcp-server"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add s3brr-agent-tasker-mcp --command uvx --arg agent-tasker-mcp-server
# ~/.hermes/config.yaml
mcp_servers:
  s3brr-agent-tasker-mcp:
    command: "uvx"
    args: ["agent-tasker-mcp-server"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "s3brr-agent-tasker-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "agent-tasker-mcp-server"
      ]
    }
  }
}
# add to Vellum
assistant mcp add s3brr-agent-tasker-mcp -t stdio -c uvx -a agent-tasker-mcp-server
// mcp.json
{
  "mcpServers": {
    "s3brr-agent-tasker-mcp": {
      "command": "uvx",
      "args": [
        "agent-tasker-mcp-server"
      ]
    }
  }
}
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.

  • 19 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.

  • 17 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 16 Sept 26 0
    • Stability: 0.97 → pass security
  • 15 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 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.

  • 10 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 9 Sept 26 0
    • Stability: 0.97 → pass security
  • 8 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.

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 21 Sept 2026 · Analysed pypi/agent-tasker-mcp-server@1.0.1

Provenance No attestation

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

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta

Background: Why install scripts are a supply-chain risk →

Dependencies 0 packages
Packages resolved 0
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 2 exposed · ~339 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
execute ~301

Run one task and return its result.

NameTypeReqDescription
bodystringRequest body
codestringPython code
commandstringCommand
contentstringFile content
extract_headingsbooleanInclude headings
extract_linksbooleanInclude links
fetch_max_charsintegerChars per fetched page
fetch_top_resultsintegerFetch top result pages
headersobjectHeaders
include_htmlbooleanInclude raw HTML
link_include_patternstringRegex for kept links
max_body_bytesintegerMax response bytes
max_linksintegerMax links
max_resultsintegerMax results
max_text_charsintegerMax extracted chars
methodstringHTTP method
modestringw or a
namestringTask name
output_modestringfull or compact
pathstringFile path
providersarrayDiscovery providers
querystringSearch query
retriesintegerRetry count
retry_backoff_secondsintegerRetry backoff seconds
task_typestringyesTask type
timeoutintegerTimeout seconds
urlstringTarget URL
verify_sslbooleanVerify SSL

No output schema declared.

No examples provided.

execute_batch ~38

Run many tasks in parallel and return ordered results.

NameTypeReqDescription
output_modestringfull or compact
tasksarrayyesTask definitions

No output schema declared.

No examples provided.

Common questions

What is the AgentTasker MCP Server server?

AgentTasker MCP Server is listed in the public MCP registry as io.github.S3bRR/agent-tasker-mcp. Minimal stdio MCP server for parallel task execution by AI agents. This page covers its PyPI package (agent-tasker-mcp-server).

Is the AgentTasker MCP Server server safe to use?

AgentTasker MCP Server scores 76 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 2026. 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 AgentTasker MCP Server server expose?

AgentTasker MCP Server exposes 2 tools: execute, execute_batch. Their descriptions and schemas cost roughly 339 tokens of context every time the server is loaded.

Is the AgentTasker MCP Server server still maintained?

AgentTasker MCP Server is still listed as active in the MCP registry. We last reached this channel on 21 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 AgentTasker MCP Server server under?

AgentTasker MCP Server declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.