Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Local working notes, decisions, evidence and resumable sessions with SQLite persistence.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
MCP_STORAGE_DIRYou need
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"sequential-thinking": {
"command": "uvx",
"args": [
"mcp-sequential-thinking"
],
"env": {
"MCP_STORAGE_DIR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add sequential-thinking --env MCP_STORAGE_DIR=your-value -- uvx mcp-sequential-thinkingFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sequential-thinking": {
"command": "uvx",
"args": [
"mcp-sequential-thinking"
],
"env": {
"MCP_STORAGE_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"sequential-thinking": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-sequential-thinking"
],
"env": {
"MCP_STORAGE_DIR": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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MCP_STORAGE_DIR envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account arben-adm, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.7.0) reached the registry 16 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent-Native Google Calendar - manage events, sync, and public booking
Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A local MCP server for working notes you can resume: evidence, decisions, risks and next actions for a difficult task, stored durably in SQLite and readable after any restart. It records what the caller writes; it does not generate, judge or improve reasoning, and it never asks for hidden chain-of-thought.
Published on PyPI and in the MCP Registry as io.github.arben-adm/mcp-sequential-thinking. With uv installed, uvx mcp-sequential-thinking runs it without a manual install (pin with uvx mcp-sequential-thinking@0.7.0). MCP_STORAGE_DIR is optional.
Claude Code
claude mcp add working-notes -- uvx mcp-sequential-thinking # this project only
claude mcp add --scope user working-notes -- uvx mcp-sequential-thinking # all projects claude mcp add --scope project working-notes -- uvx mcp-sequential-thinking # shared via .mcp.json
Gemini CLI
gemini mcp add working-notes uvx mcp-sequential-thinking # writes .gemini/settings.json
Codex CLI
codex mcp add working-notes -- uvx mcp-sequential-thinking
Claude Desktop (Settings → Developer → Edit Config, claude_desktop_config.json)
{"mcpServers":{"working-notes":{
"command":"uvx", "args":["mcp-sequential-thinking"], "env":{"MCP_STORAGE_DIR":"/absolute/path/to/notes"}}}}
Restart Claude Desktop afterwards.
VS Code (.vscode/mcp.json)
{"servers":{"working-notes":{"type":"stdio","command":"uvx","args":["mcp-sequential-thinking"]}}}
If a GUI client cannot find uvx, use its absolute path (which uvx).
python -m venv .venv && . .venv/bin/activate # Windows: .venv\Scripts\Activate.ps1
python -m pip install -e . python scripts/stdio_smoke.py # restart demo: write, restart, read back
Then point the client at /absolute/path/to/.venv/bin/mcp-sequential-thinking (Windows: .venv\Scripts\mcp-sequential-thinking.exe) instead of uvx.
A typical session:
{"tool":"create_session","arguments":{"title":"Choose a local store","request_id":"create-1"}}
{"tool":"add_step","arguments":{"session_id":" ","content":"Two writers need unique positions.","kind":"evidence","request_id":"step-1"}} {"tool":"add_step","arguments":{"session_id":" ","content":"Use SQLite.","kind":"decision","request_id":"step-2"}} {"tool":"read_session","arguments":{"session_id":" "}}
Lost the ID after a restart? list_sessions finds the session by title.
| Tool | Purpose |
|---|---|
create_session | Start a session from a title. |
add_step | Add a note; kind is note (default), observation, evidence, assumption, option, risk, decision or next_action. |
list_sessions | Find sessions by title or status. |
read_session | view="resume" (default): active notes, decisions first. view="steps": full history with filters. |
finalize_session | Store the caller's outcome and evidence IDs; no further steps afterwards. |
delete_session | Delete a session's database records (exports and backups remain). |
export_session / import_session | JSON archive of one session, confined to MCP_STORAGE_DIR/exports. |
Links between notes. parent_step_id records provenance, supersedes_step_id replaces an earlier note (resume hides it, full history keeps it), and branch_from_step_id starts a named branch. All references stay inside one session.
Retries. Every write takes a request_id. Repeating a call with the same ID and input returns the original result; the same ID with different input returns IDEMPOTENCY_CONFLICT. finalize_session and delete_session also need expected_version.
Pagination and limits. Reads default to 20 entries and 12,000 characters (limit ≤ 100, max_chars 1,000–50,000). Follow cursor until it is null, and keep the same view while paging. truncated reports shortened content. A note too large for one response comes back as its first chunk; continue with step_id and content_offset until next_content_offset is null.
Errors set isError=true with a stable code and a short hint, e.g. INVALID_INPUT (with Fields: …), UNKNOWN_SESSION, INVALID_REFERENCE, CONFLICT (with current_version), SESSION_FINALIZED, IDEMPOTENCY_CONFLICT, STORAGE_BUSY (retry with the same request_id), PATH_OUTSIDE_EXPORTS, RESPONSE_LIMIT.
Sources attached to notes are caller-supplied and never fetched or verified.
process_thought, generate_summary and clear_history, plus export_session / import_session without a session_id, work on a single shared legacy session. They remain for existing clients; every result carries a deprecation_notice. Use the session API for new work.
--strict-stages is set.main_line_progress counts mainline notes only, against your total_thoughts; it is not task completion.read_session(session_id="legacy") reads it; a legacy branch X appears as legacy-X there.mcp-sequential-thinking # stdio server
mcp-sequential-thinking --health # diagnostic check mcp-sequential-thinking --ephemeral # in memory only, lost on exit
~/.mcp_sequential_thinking (or MCP_STORAGE_DIR) as plaintext SQLite (WAL, synchronous FULL, 5 s busy timeout). Use a local disk; NFS/SMB and multiple hosts are not supported.Backup and restore (all sessions, including retry keys):
python -m mcp_sequential_thinking.backup create /path/to/storage /path/to/snapshot.sqlite3
python -m mcp_sequential_thinking.backup restore /path/to/NEW-storage /path/to/snapshot.sqlite3
Restore requires a new directory. Never copy a live database file without its WAL.
| Client | OS | Date |
|---|---|---|
| Python MCP SDK 2.0.0 and latest, Python 3.10–3.14 | Linux, Windows | every CI run |
| Claude Desktop | Linux | 2026-10-21 |
uv run --extra dev ruff check .
uv run --extra dev ruff format --check . uv run --extra dev mypy --strict mcp_sequential_thinking uv run --extra dev pytest --cov=mcp_sequential_thinking --cov-fail-under=85 rm -rf dist && uv run --extra dev --with build --with twine --with jsonschema python scripts/check_artifacts.py
The artifact check builds and installs the wheel in isolation and runs a real restart round trip. Releases publish that tested artifact via Trusted Publishing once a GitHub release is created; the version lives in mcp_sequential_thinking/_version.py. See CHANGELOG.md for details.