Agent skill

Keep MCP Evidence

by feuerdev in feuerdev/keep-mcp

Capture reproducible real-use evidence for keep-mcp features and fixes through an MCP client and the Google Keep interface.

MITAuto-check passedAgent Workflows

Install Keep MCP Evidence

skills CLI
$ npx skills add feuerdev/keep-mcp --skill keep-mcp-evidence -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install feuerdev/keep-mcp keep-mcp-evidence --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/feuerdev/keep-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/keep-mcp-evidence .claude/skills/keep-mcp-evidence && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
keep-mcp-evidence
GitHub stars
105
Token cost
~1.7k tokens
SKILL.md length
921 words
Files
4 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
MIT

At a glance

Capture reproducible real-use evidence for keep-mcp features and fixes through an MCP client and the Google Keep interface.

  • Works in 8 steps: Write down the exact prompt, expected… → Plan only the Keep checkpoints needed to… → Submit the saved prompt through the real… → …
  • Preparing PR screenshots
  • SKILL.md covers Preflight, Run and capture and Delivery and reproducibility
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Keep MCP Evidence is an agent skill from feuerdev/keep-mcp. Capture reproducible real-use evidence for keep-mcp features and fixes through an MCP client and the Google Keep interface. Use when preparing PR screenshots or verifying a Keep workflow end to end.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/cli-runs.md`, `references/evidence-template.md` and `references/scenarios.md`).

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: MCP server for Google Keep. The licence is MIT.

When your agent uses it

  • Preparing PR screenshots
  • Verifying a Keep workflow end to end

Example prompts

  • “/keep-mcp-evidence”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Write down the exact prompt, expected MCP operation/arguments, expected visible
  2. Plan only the Keep checkpoints needed to prove the visible outcome. Use the
  3. Submit the saved prompt through the real MCP client. With a CLI, retain its
  4. Match actual arguments and returned note ID against the scenario. If the model
  5. In Keep, find/open the exact fixture and wait for synchronization, refreshing
  6. Capture the resulting Keep state. Capture before-build evidence on separate
  7. Inspect every image for legibility and private content. Frame the fixture and
  8. Clean up only recorded fixture IDs, preferably by moving them to recoverable

What it can do on your machine

Read from SKILL.md and the folder at commit 567dfd9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Keep MCP Evidence loads about 1.7k tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 921 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from feuerdev/keep-mcp at commit 567dfd9, republished under its MIT licence (© feuerdev). 921 words, ~1,662 tokens.

Download SKILL.mdSave it as .claude/skills/keep-mcp-evidence/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
keep-mcp-evidence
description
Capture reproducible real-use evidence for keep-mcp features and fixes through an MCP client and the Google Keep interface. Use when preparing PR screenshots or verifying a Keep workflow end to end.

keep-mcp evidence

Prove the action through the actual MCP client and verify its effect independently in Google Keep. Test output belongs in code blocks, never screenshot substitutes. Prefer a CLI-based MCP client when available. Use the current agent's connected MCP tools if they target the verified build, otherwise use a bounded CLI invocation such as Codex exec or Cursor CLI. Honour the user's client choice and record its name/version. A desktop client is a fallback, not a requirement.

Save the exact prompt and actual MCP call/result events as text. CLI transcripts belong in code blocks; client screenshots are optional. Google Keep screenshots still provide the independent visual evidence. Read cli-runs.md when using a CLI client.

Preflight

  • Read the diff and choose concrete visible outcomes. Read scenarios.md for the checklist scenarios from PR #19.
  • Verify the client's keep-mcp launch command resolves to the checkout/build under test. Record commit, dirty status, interpreter, SDK version and transport without logging environment values. Restart/reconnect the server after changes. A checked out commit alone does not establish which server an already-running client uses.
  • If multiple Keep servers are configured, target the exact server under test and inspect every invocation. Do not silently fall back to another server.
  • Open Google Keep in an isolated authenticated browser session when available. Confirm it is the same account as the configured server, without publishing the account identifier. Prefer a dedicated test account. If login is needed, leave the page open and ask the user to sign in. Continue independent preparation while waiting. Never request tokens/passwords in chat or copy browser credentials.
  • Use UNSAFE_MODE=false. Operate only on fixtures created for this run, with names keep-mcp-evidence-<UTC timestamp>-<random suffix>-<scenario>. Record returned note IDs immediately. Keep a local manifest of IDs and cleanup status. Never delete unrelated notes or the shared keep-mcp label.

Run and capture

  1. Write down the exact prompt, expected MCP operation/arguments, expected visible state and timeout. Use a fresh fixture per scenario. Fixture setup also goes through the client when feasible; identify any separate setup method explicitly.
  2. Plan only the Keep checkpoints needed to prove the visible outcome. Use the client transcript for intermediate checks. Batch independent final fixture checks into one scoped Keep view when readable. Capture a before state when needed to demonstrate a change; do not take a screenshot after every tool call.
  3. Submit the saved prompt through the real MCP client. With a CLI, retain its structured tool-call events and results. With a desktop client, expand the tool details and capture them. An assistant's success message alone is insufficient.
  4. Match actual arguments and returned note ID against the scenario. If the model corrects invalid input, substitutes another tool, or refuses to call, mark that negative case not exercised. One clarified retry is reasonable; don't keep creating notes or replace the invocation with a Python call to manufacture proof.
  5. In Keep, find/open the exact fixture and wait for synchronization, refreshing when necessary. Assert the visible title, item text and checked state. Bound the wait, for example to 60 seconds. A timeout is inconclusive, not proof of absence. For failed updates, also make a benign supported update and reload: this helps expose unintended cached mutations that could be synced on a later request. Keep the rejected update and follow-up sync in the same server process; a fresh CLI invocation can discard the very cached mutation this scenario tests.
  6. Capture the resulting Keep state. Capture before-build evidence on separate fixtures when practical; don't confuse a starting state with reproduction on an old build. Never stage expected UI using browser edits or mock pages.
  7. Inspect every image for legibility and private content. Frame the fixture and client exchange tightly, excluding unrelated notes, conversations, account menus and credentials. Cropping/redaction may hide private content, but must not alter the behavior shown. Never publish browser storage, tokens or raw private logs.
  8. Clean up only recorded fixture IDs, preferably by moving them to recoverable trash through the client. Verify cleanup and record any leftover IDs. If a call times out, search for the unique title before retrying creation or cleanup.
Show full SKILL.md (238 more words)Show less

Use browser/computer tools for Keep checkpoints and screenshot capture, not to drive a client that has a usable CLI. Stop inspecting once a checkpoint is clear. Use screenshots from supported browser/native capture tools. Load the relevant browser skill when available. No generated screenshots, reconstructed conversations, or screenshots of pytest/terminal output in place of real use.

Delivery and reproducibility

Use evidence-template.md. Keep captures and raw observations in an ignored local testing-evidence/<PR>/<run-id>/ directory. The manifest records client/build, fixture IDs, prompts, actual calls, timestamps, assertions, screenshot filenames, coverage gaps and cleanup. Never include secrets. Publish only reviewed screenshots and selected non-sensitive facts to the requested PR when authorized. Attach screenshots directly to the PR and quote decisive CLI output in collapsible code blocks in its description or a comment. Keep run-specific screenshots, transcripts and reports out of version control unless the user explicitly requests otherwise. Do not create a repository evidence folder as an upload workaround. If attachments are blocked, preserve the files locally and report the blocker. Offer the files for manual attachment instead of escalating into desktop automation. Reusable recipes belong in the skill; individual run results belong in the PR.

If login, client access or build provenance is unavailable, report the exact blocker, leave the PR draft, and preserve the recipe for resumption. Do not mark the screenshot requirement satisfied or substitute automated tests. A skill passing static validation is not evidence that the live workflow has passed.

© feuerdev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in .agents/skills/keep-mcp-evidence of feuerdev/keep-mcp.

  • SKILL.md
  • references/cli-runs.md
  • references/evidence-template.md
  • references/scenarios.md

Open the folder on GitHubat commit 567dfd9

Compare with similar skills

Keep MCP Evidence next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Keep MCP Evidence compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Keep MCP Evidence this skillfeuerdev/keep-mcp105—~1.7kAutomated safety check: PassMIT
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Crush Configurationcharmbracelet/crush29k—~3.7kAutomated safety check: PassCustom licence
Context Mode Output Sandboxmksglu/context-mode26k—~4.1kAutomated safety check: PassCustom licence

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Categories

Questions about Keep MCP Evidence

What does Keep MCP Evidence do?

Capture reproducible real-use evidence for keep-mcp features and fixes through an MCP client and the Google Keep interface. Keep MCP Evidence is an agent skill from feuerdev/keep-mcp. Capture reproducible real-use evidence for keep-mcp features and fixes through an MCP client and the Google Keep interface.

When should I use Keep MCP Evidence?

Keep MCP Evidence fits situations like: preparing PR screenshots; verifying a Keep workflow end to end.

How do I install Keep MCP Evidence in Claude Code?

Run `npx skills add feuerdev/keep-mcp --skill keep-mcp-evidence -a claude-code`. Or copy the skill folder (.agents/skills/keep-mcp-evidence in feuerdev/keep-mcp) into .claude/skills/keep-mcp-evidence in your project. Claude Code loads it when a task matches its description.

How do I install Keep MCP Evidence in Codex?

Run `npx skills add feuerdev/keep-mcp --skill keep-mcp-evidence -a codex`. Or copy the skill folder (.agents/skills/keep-mcp-evidence in feuerdev/keep-mcp) into .agents/skills/keep-mcp-evidence in your project. Codex loads it when a task matches its description.

Can I use Keep MCP Evidence in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add feuerdev/keep-mcp --skill keep-mcp-evidence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keep-mcp-evidence, .gemini/skills/keep-mcp-evidence, .github/skills/keep-mcp-evidence and .opencode/skills/keep-mcp-evidence in your project.

What does Keep MCP Evidence need to run?

SKILL.md names no scripts, command-line tools or credentials: Keep MCP Evidence is instructions for the agent only. Our summary lists: Python 3.

Does Keep MCP Evidence access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Keep MCP Evidence safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Keep MCP Evidence use?

Keep MCP Evidence is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Keep MCP Evidence use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.

What are the alternatives to Keep MCP Evidence?

Skills that share tags, products or a category with Keep MCP Evidence: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Crush Configuration (charmbracelet/crush, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Keep MCP Evidence?

feuerdev (a GitHub user) maintains it in feuerdev/keep-mcp, which has 105 GitHub stars. The repository was last updated on October 6, 2026.

Source: feuerdev/keep-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.