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GEN

PYPI · GEN-MCP-SERVER · SCANNED SEP 21

GEN is an autonomous social media agent: it spots trends, writes scripts, and creates videos.

Available components

+15 this week 74 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 hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 1 of 23 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
  • Repository check failed: the declared repository URL returned HTTP 404. See how to fix → View diagnostics → Fail
  • Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 39 days ago).Pass
  • Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability75
  • 75% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Partial
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 4625 tokens (~71/item across 65 items; 62 tools + 3 resources), lean.Pass
  • 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 Coverage67
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 3 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "gen_delete_asset" implies "delete" 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 63 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the GEN MCP server?

GEN runs locally as a PyPI package, launched with uvx gen-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 · gen-mcp-server

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

  • 20 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.

  • 18 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.

  • 17 Sept 26 −3
    • Stability: pass → 0.80 functional
  • 16 Sept 26 0
    • Stability: 0.97 → pass security
  • 15 Sept 26 +16
    • Malware scan: unverified → pass security
  • 14 Sept 26 −15
    • Malware scan: pass → unverified security
  • 13 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.

  • 11 Sept 26 −2
    • Stability: pass → 0.83 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 21 Sept 2026 · Analysed pypi/gen-mcp-server@0.1.10

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 hatchling.build

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

Dependencies 23 packages
Packages resolved 23
Stale 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 62 exposed · ~4,611 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
gen_render_video ~83

Render the final composed video for a final_video cell — combines all layers/rows (the scenes) into ONE deliverable. This is how you assemble a long / multi-scene video. Returns a generation_id; poll gen_get_generation.

NameTypeReqDescription
agent_idstringyes
cell_idstringyes
engine_idstringyes

No output schema declared.

No examples provided.

gen_research ~180

Research a topic across social + the web — trending content, top creators/accounts in a niche, and community/news signal. Use this for open 'research X' / 'who's winning in X' / 'what's happening with X' requests: 'research the cold plunge niche', 'top creators in #fitness', 'what are people saying about <topic> on Reddit and X'. GEN routes the query to the right research path (trends, creator discovery, or cross-platform web research) and returns a synthesized answer with evidence. For a QUESTION about ONE specific link/account/hashtag/video use gen_ask; for IDEAS to post use gen_generate_content_ideas.

NameTypeReqDescription
agent_idstringyes
conversation_id
querystringyes
waitboolean

No output schema declared.

No examples provided.

gen_resume_recurring_job ~33

Resume a paused recurring job.

NameTypeReqDescription
agent_idstringyes
job_idstringyes

No output schema declared.

No examples provided.

gen_run_recurring_job_now ~42

Trigger a recurring job to run immediately (don't wait for its schedule).

NameTypeReqDescription
agent_idstringyes
job_idstringyes

No output schema declared.

No examples provided.

gen_schedule_post ~112

Schedule/create a post. platform: tiktok|instagram|youtube|x. schedule_type 'now' for immediate, 'specific_time' (+scheduled_time ISO8601) for a calendar slot.

NameTypeReqDescription
agent_idstringyes
descriptionstringyes
media_typestring
media_urlstringyes
platformstringyes
schedule_typestring
scheduled_time
thumbnail_url
title

No output schema declared.

No examples provided.

gen_stop_generation ~39

Stop a running generation (refunds the pre-charged credits).

NameTypeReqDescription
agent_idstringyes
generation_idstringyes

No output schema declared.

No examples provided.

gen_update_agent_core ~55

Update agent setup/brand fields (brand_name, description, keywords, video_type, target_platforms, etc.). Sparse — send only what changes.

NameTypeReqDescription
agent_idstringyes
fieldsobjectyes

No output schema declared.

No examples provided.

gen_update_cell ~55

Update a cell's value (e.g. set a scene's script or prompt).

NameTypeReqDescription
agent_idstringyes
cell_idstringyes
engine_idstringyes
valueyes

No output schema declared.

No examples provided.

gen_update_recurring_job ~50

Update a recurring job (name, prompt, schedule, delivery, auto_publish).

NameTypeReqDescription
agent_idstringyes
fieldsobjectyes
job_idstringyes

No output schema declared.

No examples provided.

gen_update_scheduled_post ~39

Update a scheduled post (time, description, media, etc.).

NameTypeReqDescription
fieldsobjectyes
post_idstringyes

No output schema declared.

No examples provided.

gen_upgrade_workspace ~61

Upgrade a workspace to a higher subscription tier — returns a checkout link. CONFIRM with the user BEFORE calling; this changes billing.

NameTypeReqDescription
credit_plan_idstringyes
organization_idstringyes
return_urlstringyes

No output schema declared.

No examples provided.

gen_version ~94

Return the running GEN MCP server version. Use when the user asks 'what version of the GEN MCP am I on?' or to confirm an update landed. No network call. To get the newest published version, point them to https://pypi.org/project/gen-mcp-server/ — `uvx` users auto-update on restart; `pip` users run `pip install -U gen-mcp-server`.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

Common questions

What is the GEN MCP server?

GEN is an MCP server listed in the public MCP registry as io.github.poweredbyGEN/gen-mcp-server. GEN is an autonomous social media agent: it spots trends, writes scripts, and creates videos. This page covers its PyPI package (gen-mcp-server).

Is the GEN MCP server safe to use?

GEN scores 74 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 GEN MCP server expose?

GEN exposes 62 tools: gen_version, gen_get_me, gen_list_workspaces, gen_list_agents, gen_get_agent, and 57 more. Their descriptions and schemas cost roughly 4,611 tokens of context every time the server is loaded.

Is the GEN MCP server still maintained?

GEN 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 GEN MCP server under?

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