What is agenticflow-mcp?

A guide for connecting an AgenticFlow agent to outside services through MCP, a standard way for software agents to use external tools. Supported examples include Google Docs, Google Sheets, Slack, Notion, GitHub, Apify, and Gmail.

Use it to connect an agent to documents, spreadsheets, messages, repositories, websites, email, or other third-party services through configured tool providers.

It helps an agent work with information and actions outside its built-in knowledge. It also provides checks for finding suitable connections and verifying their status before attaching them.

agenticflow-mcp — Skill for Claude Code and Codex by antongulin

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add antongulin/agenticflow-ai-skills --skill agenticflow-mcp

Clone the repo

git clone --depth 1 https://github.com/antongulin/agenticflow-ai-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/antongulin/agenticflow-ai-skills/agenticflow-mcp/github.svg)](https://agentmods.dev/skills/antongulin/agenticflow-ai-skills/agenticflow-mcp)

Your own site

<a href="https://agentmods.dev/skills/antongulin/agenticflow-ai-skills/agenticflow-mcp"><img src="https://agentmods.dev/badge/skills/antongulin/agenticflow-ai-skills/agenticflow-mcp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/antongulin/agenticflow-ai-skills/agenticflow-mcp"><img src="https://agentmods.dev/badge/skills/antongulin/agenticflow-ai-skills/agenticflow-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,571 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00158	$0.01571
Opus 5.5	$0.00063	$0.00628
Sonnet 5.5	$0.00032	$0.00314
Haiku 4.5	$0.00016	$0.00157

Measured 2mo ago against content hash 0f4e8cad2d4d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agenticflow-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/agenticflow-mcp/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgenticFlow MCP

Do NOT install the legacy agenticflow-mcp standalone server repo. It is stale (last release lags the current platform by many versions) and is not the recommended integration path. Everything below uses the af CLI (install via npm install -g @pixelml/agenticflow-cli), which covers MCP operations comprehensively and stays in lockstep with platform changes.

MCP (Model Context Protocol) clients are the tool-provider layer that lets an agent read or write external systems — Google Docs, Google Sheets, Slack, Notion, GitHub, Apify, Gmail, Pinterest, YouTube, and many more. A workspace usually has many MCP clients already configured; your job is to pick the right one and verify it's safe before attaching to an agent.

Orient first

Before touching MCP clients, run:

af bootstrap --json

Extract auth.workspace_id + _links.mcp (the web UI URL for MCP management). Surface _links.mcp to the user: "Your MCP connections live at <_links.mcp> — you can add or re-authenticate providers there if any inspections fail." If data_fresh: false, the backend is degraded — don't mutate.

Discovery & health

af changelog --json           # What's new in the CLI since your last install
af context --json              # AI agent orientation, env vars, invocation guidance
af bootstrap --strict --json   # Health check — exits non-zero if degraded

af bootstrap returns an invocation block telling you the correct CLI binary to use. af bootstrap --strict exits non-zero when the backend is unhealthy, so CI/automation can abort before mutating against a degraded workspace.

The one pattern that matters: inspect before attach

Not all MCP clients are equal. There are two major families, and one of them breaks on writes.

af mcp-clients list --name-contains "google sheets" --fields id,name,is_authenticated --json
af mcp-clients inspect --id <mcp_client_id> --json
af mcp-clients get --id <mcp_client_id> --json   # Alias for inspect (v1.8.1+)

Read the full file on GitHub · 119 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 119 lines · 158 tokens per session scan A 0f4e8cad2d4d

Subscribe to this mod's changes

agenticflow-mcp is a skill published in the GitHub repository antongulin/agenticflow-ai-skills (2 stars, last pushed 18d ago), licensed MIT. It adds 158 tokens to every session and 1,571 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agents

agenticflow-mcp next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agenticflow-mcpantongulin/agenticflow-ai-skills	Skill	2	18d ago	MIT	A	158	Claude Code, Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	today	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	99k	today	Apache-2.0	A	19	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	4d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code
chat-pet-sprite-creationmicrosoft/vscode	Skill	195k	today	MIT	A	53	Claude Code, Codex