reclaim-mcp-server: Instructions file for Codex

AGENTS.md

reclaim-mcp-server AGENTS.md is an instructions file for Codex, OpenCode from universalamateur/reclaim-mcp-server. It costs 1,705 tokens per session, scanned A, original, MIT.

Project instructions for an unofficial Python server that lets AI assistants work with Reclaim.ai, a task and calendar scheduling service.

In plain words
What is it for?
Use them when developing features, tests, or fixes for Reclaim.ai tasks, habits, events, scheduling, focus settings, or analytics.
Why use it?
They give the agent the project context, coding standards, and rules needed to make consistent changes safely.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is universalamateur/reclaim-mcp-server's own configuration. It tells Codex and OpenCode how to work on reclaim-mcp-server itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything reclaim-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to universalamateur/reclaim-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/universalamateur/reclaim-mcp-server/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/universalamateur/reclaim-mcp-server

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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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.

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Per session 1,705 This file is loaded in full into every session.
When invoked 1,705 The same file — it is already loaded in full.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01705 $0.01705
Opus 5 $0.00852 $0.00852
Sonnet 5 $0.00341 $0.00341
Haiku 4.5 $0.00170 $0.00170

Measured 9d ago against content hash 6bb4f0488fd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

reclaim-mcp-server AGENTS.md 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 9d 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.

AGENTS.md · 240 lines

How it starts

The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reclaim MCP Server - Agent Guidelines

Unofficial Python MCP server for Reclaim.ai, built with FastMCP.

Core principles (KISS, quality, confidentiality) are maintained in the repository owner's global Claude configuration.

Current Version: v0.11.0 (2026-02-22)


GitLab Python Standards

Follow GitLab Python Development Guidelines:

Key requirements: Google-style docstrings on public functions, test files mirror source (test_{file}.py), Pydantic for validation, unittest.mock for mocking, no bare except.


Project Context

Purpose

Provides MCP tools for AI assistants to interact with Reclaim.ai's API:

Category Tool Count Description
Tasks 17 Task CRUD, time tracking, snooze, plan work
Habits 14 Smart habit management and scheduling
Events 5 Calendar event operations
Context 2 Current moment, next moment
Scheduling 2 Working hours, available times
Focus 5 Focus time settings and blocks
Analytics 2 User productivity analytics
Utility 2 Health check, connection verify

Technology Stack

Component Choice Rationale
Python 3.12+ Modern async features
FastMCP MCP framework Python-native, modern
httpx Async HTTP GitLab recommended
Pydantic Validation Type safety, FastMCP integration
Poetry Dependencies GitLab standard

Directory Structure

src/reclaim_mcp/
├── server.py             # FastMCP server + @tool decorator
├── profiles.py           # Tool profiles (minimal/standard/full)
├── config.py             # Pydantic Settings
├── client.py             # Async httpx client
├── cache.py              # TTL caching with @ttl_cache
├── exceptions.py         # Custom exceptions
├── models.py             # Pydantic validation models
└── tools/
    ├── tasks.py          # Task management (17 tools)
    ├── events.py         # Calendar events
    ├── habits.py         # Smart habits
    ├── moments.py        # Current/next moment
    ├── scheduling.py     # Working hours, available times
    ├── analytics.py      # Analytics
    └── focus.py          # Focus time

Read the full file on GitHub · 240 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.

  1. 9d ago First seen · 240 lines · 1,705 tokens per session scan A 6bb4f0488fd4

Subscribe to this mod's changes

reclaim-mcp-server AGENTS.md is an instructions file published in the GitHub repository universalamateur/reclaim-mcp-server (4 stars, last pushed 6mo ago), licensed MIT. It adds 1,705 tokens to every session, about $0.0085 per session on Opus 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.

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