AgentTakt
PYPI · AGENTTAKT · SCANNED SEP 23
Review, edit, and approve AI agent task plans in a ComfyUI-style visual node editor in your terminal
Available components
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 36 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 1 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability0
- Schema quality not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.Unverified
Stability & Change Management0
- Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.Unverified
Tool Coverage0
- Tool coverage not yet verified: we do not have a sandbox capture of the tool definitions this version of the package serves yet.Unverified
Tool Safety0
- Tool safety not yet verified: we do not have a sandbox capture of the tool definitions this version of the package serves yet.Unverified
Capabilities0
- Protocol version not yet verified: we do not have a sandbox capture of the MCP handshake this version of the package performs yet.Unverified
Unverified: 5 categories
Categories scored 0 because our sandbox run of this package has not given us the schema these checks need to read. That is a gap on our side rather than a finding about the package, and we only credit what we can confirm, so the score stands at 0 until the capture succeeds. We are working through the fleet, so this normally clears without any action from you. How we score packages →
How do I install the AgentTakt MCP server?
AgentTakt runs locally as a PyPI package, launched with uvx agenttakt. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · agenttakt
claude mcp add ryoohshima-agenttakt -- uvx agenttakt
{
"mcpServers": {
"ryoohshima-agenttakt": {
"command": "uvx",
"args": [
"agenttakt"
]
}
}
} {
"servers": {
"ryoohshima-agenttakt": {
"command": "uvx",
"args": [
"agenttakt"
]
}
}
} codex mcp add ryoohshima-agenttakt -- uvx agenttakt
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ryoohshima-agenttakt": {
"type": "local",
"command": [
"uvx",
"agenttakt"
],
"enabled": true
}
}
} openclaw mcp add ryoohshima-agenttakt --command uvx --arg agenttakt
mcp_servers:
ryoohshima-agenttakt:
command: "uvx"
args: ["agenttakt"] {
"McpServers": {
"ryoohshima-agenttakt": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"agenttakt"
]
}
}
} assistant mcp add ryoohshima-agenttakt -t stdio -c uvx -a agenttakt
{
"mcpServers": {
"ryoohshima-agenttakt": {
"command": "uvx",
"args": [
"agenttakt"
]
}
}
} 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.
- 23 Sept 26 −42
- Stability: 0.97 → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Stability: 0.97 → pass security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Package version: 0.2.1 → 0.2.2 functional
- 21 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.
- 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 −3
- Stability: pass → 0.80 functional
- 16 Sept 26 +1
- Stability: 0.97 → pass security
- 15 Sept 26 −1
- Stability: pass → 0.97 functional
- 14 Sept 26 +1
- Stability: 0.97 → pass security
- 12 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.
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 23 Sept 2026 · Analysed pypi/agenttakt@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 | 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 36 packages
| Packages resolved | 36 |
|---|---|
| Stale | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
request_approval ~141
Submit a task execution plan for human review in the AgentTakt editor. Blocks until the human approves or rejects the plan in the TUI. Returns {"status": "approved" | "rejected", "plan": <edited plan>, "reason": <str | null>}. The returned plan may differ from the submitted one (the human can edit nodes, edges and parameters) — always execute the returned plan. Args: plan: Plan JSON with graph_id, nodes[] and edges[] (must be a DAG). summary: One-line description shown in the editor header.
| Name | Type | Req | Description |
|---|---|---|---|
| plan | object | yes | – |
| summary | – | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
show_plan ~148
Display a task execution plan in the AgentTakt editor, without blocking. Call this whenever you have formulated a multi-step plan — in any mode, not just plan mode — so the human can see it as a node graph. Returns {"status": "displayed"} as soon as the editor receives the plan; it does NOT wait for (or report) any human decision. Use request_approval instead when you need the human's approval before executing. Args: plan: Plan JSON with graph_id, nodes[] and edges[] (must be a DAG). summary: One-line description shown in the editor header.
| Name | Type | Req | Description |
|---|---|---|---|
| plan | object | yes | – |
| summary | – | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
What is the AgentTakt MCP server?
AgentTakt is an MCP server listed in the public MCP registry as io.github.ryoohshima/agenttakt. Review, edit, and approve AI agent task plans in a ComfyUI-style visual node editor in your terminal. This page covers its PyPI package (agenttakt).
Is the AgentTakt MCP server safe to use?
AgentTakt scores 36 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 23 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 AgentTakt MCP server expose?
AgentTakt exposes 2 tools: request_approval, show_plan. Their descriptions and schemas cost roughly 289 tokens of context every time the server is loaded.
Is the AgentTakt MCP server still maintained?
AgentTakt is still listed as active in the MCP registry. We last reached this channel on 23 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.