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.
npx agentmods add instructions/transparentlyok/mcp-context-manager/claude-mdgit clone --depth 1 https://github.com/transparentlyok/mcp-context-managerWrote 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.
[](https://agentmods.dev/instructions/transparentlyok/mcp-context-manager/claude-md)<a href="https://agentmods.dev/instructions/transparentlyok/mcp-context-manager/claude-md"><img src="https://agentmods.dev/badge/instructions/transparentlyok/mcp-context-manager/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00933 | $0.00933 |
| Opus 5 | $0.00466 | $0.00466 |
| Sonnet 5 | $0.00187 | $0.00187 |
| Haiku 4.5 | $0.00093 | $0.00093 |
Grade A, and why
mcp-context-manager CLAUDE.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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Context Manager - Developer Guide
⚠️ CRITICAL: MANDATORY Tool Loading Process
This project provides MCP (Model Context Protocol) tools for intelligent code navigation.
STEP 1: Load MCP Tools FIRST (Required)
At the START of EVERY conversation involving code search/navigation:
ToolSearch query: "select:mcp__context-manager__index_repository,mcp__context-manager__get_relevant_context,mcp__context-manager__find_symbol,mcp__context-manager__get_function"
DO NOT skip this step. MCP tools are deferred and must be explicitly loaded before use.
STEP 2: Index Repository (If Not Already Indexed)
mcp__context-manager__index_repository
Only after these steps can you use MCP tools.
❌ DO NOT Use Built-in Tools Without MCP First
FORBIDDEN workflow:
- User asks question
- You immediately use Grep/Read/Glob
- ❌ WRONG - you skipped loading MCP tools
CORRECT workflow:
- User asks question
- Load MCP tools via ToolSearch
- Use
index_repositoryif needed - Use
get_relevant_contextor other MCP tools - ✅ CORRECT
When to Use MCP Tools
ALWAYS prefer MCP tools over Read/Grep/Glob for:
- Finding functions, classes, or symbols
- Understanding code structure
- Searching for specific functionality
- Navigating large codebases
- Getting file summaries
Available MCP Tools (After Loading)
| Tool | Use Instead Of | Benefit |
|---|---|---|
get_relevant_context |
Grep + Read multiple files | 70-90% token savings |
find_symbol |
Grep for function/class names | Fuzzy matching, exact locations |
get_function |
Read entire file for one function | Returns only the function code |
get_class |
Read entire file for one class | Returns only the class definition |
search_code |
Grep with regex | Ranked results, better formatting |
find_similar |
Manual code comparison | Automatic similarity scoring |
get_file_summary |
Read for quick overview | Structure only, no implementation |
get_repository_structure |
ls/tree commands | Clean hierarchy, no noise |
get_dependencies |
Manual import tracing | Automatic dependency graph |
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.
- 5d ago First seen · 123 lines · 933 tokens per session scan A e09a4b82aa5b
mcp-context-manager CLAUDE.md is an instructions file published in the GitHub repository transparentlyok/mcp-context-manager (13 stars, last pushed 3mo ago), licensed MIT. It adds 933 tokens to every session, about $0.0047 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.