// SCAN REPORT

Mcp Context Cache

3 tools. 0 can modify or destroy data without limits.

Read-only server. Low risk, but rate limits prevent runaway API costs.

Last updated: 2 Jul 2026

0 can modify or destroy data

3 read-only

3 tools total

Community server · catalogue entry verified 02/07/2026

How to control Mcp Context Cache ↓

TOOL MAP

What Mcp Context Cache exposes to your agents

Read (3) Write / Execute (0) Destructive / Financial (0)

Running more than one server? Check your whole stack →

THE RISK

What can go wrong

Even read-only tools carry cost. An agent in a retry loop can make thousands of API calls per minute, exhausting rate limits and running up bills.

POLICY

How to control Mcp Context Cache

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Context Cache, and nothing reaches the server without passing your rules. These are the rules we recommend:

Cap read operations

{
  "get_context_from_config": {
    "limits": [
      {
        "counter": "get_context_from_config_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

Create a free account and register Mcp Context Cache — nothing to install.
Add these rules — paste them, or build them visually. Tune the limits to your setup.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

ENFORCE POLICY ON MCP CONTEXT CACHE →

Instant setup, no code required.

FULL CATALOGUE

All 3 Mcp Context Cache tools

READ 3 tools

Read get_context_from_config Reads contextcache.json and returns full project context with module instructions and caching. Read get_directory_context Recursively packages all files in a directory and returns them as formatted context for AI agents. Read get_project_context Returns formatted context for a list of files. Use this to load specific files into AI agent context with cach

FAQ

Questions about Mcp Context Cache

Is the Mcp Context Cache MCP server safe to use without restrictions? +

The Mcp Context Cache server is primarily read-only with 3 read tools. While it cannot modify data, an agent in a retry loop can make thousands of API calls per minute, exhausting rate limits and running up costs. Rate limiting is still recommended.

How many tools does the Mcp Context Cache MCP server expose? +

3 tools across 1 categories: Read. 3 are read-only. 0 can modify, create, or delete data.

How do I enforce a policy on Mcp Context Cache? +

Register the Mcp Context Cache MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every Mcp Context Cache tool call.

Deterministic rules across all 3 Mcp Context Cache tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

ENFORCE POLICY ON MCP CONTEXT CACHE →

Instant setup, no code required.

3 Mcp Context Cache tools catalogued and risk-classified — across an index of 43,000+ MCP servers.