WatchGuard MCP
WatchGuard Cloud Firebox, Endpoint Security, ThreatSync, NDR and AuthPoint APIs for every customer
Description from the maker (original English)
Local MCP proxy: collapses N servers' tools into 4 meta-tools and compresses large tool outputs.
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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.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"context-firewall": {
"command": "npx",
"args": [
"-y",
"context-firewall",
"--config",
"your-value"
]
}
}
}Run this in your terminal
claude mcp add context-firewall -- npx -y context-firewall --config your-valueThis one needs values on its command line, so copy the settings and fill them in.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"context-firewall": {
"command": "npx",
"args": [
"-y",
"context-firewall",
"--config",
"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.
This one needs values on its command line, so copy the settings and fill them in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"context-firewall": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"context-firewall",
"--config",
"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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Runs on your computer; the tool list appears in your AI app after you install it.
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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
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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 (0.1.1) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: WatchGuard MCP, ipdata MCP by usefulapi, MaxMind minFraud MCP by usefulapi
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
WatchGuard Cloud Firebox, Endpoint Security, ThreatSync, NDR and AuthPoint APIs for every customer
Look up location, network, company and threat data for IP addresses and ASNs in ipdata.
MCP server for MaxMind minFraud — score transactions for fraud risk from your AI assistant.
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中文文档
Shrink large MCP tool outputs by 60–95% before they reach your model's context window — and collapse 50+ tool definitions into 4. Real HTML/JSON, measured — see benchmarks. Works with any MCP client, any model. Anything still over your configured token budget after compression is hard-truncated to that budget, with the full original always retrievable via read_more.
*The session report printed on shutdown — this one from a real 3-call session (two large file reads, one echo). Every number measured, none simulated.*
Context Firewall is a local MCP proxy that sits between your AI agent (Claude Code, Claude Desktop, Cursor, Cline, ...) and every downstream MCP server you've configured. Large tool outputs (raw HTML, base64 blobs, giant JSON) are compressed before they ever reach the model's context window, and the client sees exactly 4 tools no matter how many the downstream servers actually have.
| Metric | Result |
|---|---|
| Output compression | 70–94% on real HTML pages, ~97% on large structured JSON (smart stages alone, before budget truncation) — e.g. a live Wikipedia page via the fetch tool: 232,391 → 6,907 chars (97.0%, measured); a GitHub issues JSON payload via the jsonSummary stage: 186,810 → 3,480 chars (98.1%, measured) |
| Tool collapse | 122 → 4 exposed meta-tools (5 real downstream servers incl. official GitHub github-mcp-server, 85 tools) |
| Tool-definition savings | ~28,600 tokens *(estimated, chars ÷ 3.5)* — 102,158 raw definition chars vs. 2,146 exposed |
All figures measured against real downstream MCP servers, not synthetic data — full methodology and tables in docs/BENCHMARKS.md.
list_tool_categories, search_tools, invoke_tool, read_more) and only pays the token cost of a tool's full schema when it actually searches for it.read_more(handle, offset, length).npx context-firewall --config context-firewall.json
Minimal context-firewall.json (the downstreams block mirrors the mcpServers format you already know):
{
"downstreams": { "filesystem": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/project"] }, "github": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-github"], "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}" } } } }
(${GITHUB_TOKEN} above is just this example's environment variable *name* — pick whatever's already set in your shell; it gets expanded into GITHUB_PERSONAL_ACCESS_TOKEN, the env var name the downstream server itself actually reads.)
Which GitHub server? Two options, different tool counts:
npx -y line, zero extra setup. Archived/no longer maintained upstream, but still functional.GITHUB_TOOLSETS=all). Ships as a Go binary or Docker image, not an npm package: "github": {
"command": "docker", "args": ["run", "-i", "--rm", "-e", "GITHUB_PERSONAL_ACCESS_TOKEN", "ghcr.io/github/github-mcp-server"], "env": { "GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}" } }
or, running a locally-built/downloaded binary directly: "command": "/path/to/github-mcp-server", "args": ["stdio"] (same env block; add GITHUB_TOOLSETS to scope which of the 85 tools are exposed).
Per-tool allow/deny policy. Add allowTools/denyTools (array of exact names or * globs) to any downstream entry to restrict which of its tools can be invoked:
"github": {
"command": "npx", "args": ["-y", "@modelcontextprotocol/server-github"], "denyTools": ["delete_*"] }
Deny always wins over allow. When allowTools is set, only matching tools are permitted; everything else on that server is blocked. An empty allowTools: [] is treated the same as omitting it (allow everything), not "deny everything". Blocked tools are hidden from search_tools results, and invoke_tool rejects them before dispatching to the downstream server. Tool counts in list_tool_categories and in the meta-tool descriptions are unfiltered totals — the policy is only enforced at search_tools/invoke_tool time.
Set Context Firewall as your only MCP server — move every downstream server you currently configure directly (filesystem, github, everything, ...) into context-firewall.json's downstreams block instead. Your agent then sees 4 tools instead of the sum of every downstream server's tool count; pointing the client at Context Firewall *alongside* your existing servers doesn't give you the tool-collapse or compression benefit.
Each client below takes the same server entry:
{
"mcpServers": { "context-firewall": { "command": "npx", "args": ["-y", "context-firewall", "--config", "/absolute/path/to/context-firewall.json"] } } }
Project-scoped .mcp.json in your repo root (shown above), or via the CLI:
claude mcp add --transport stdio context-firewall -- npx -y context-firewall --config /absolute/path/to/context-firewall.json
claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json; Windows: %APPDATA%\Claude\claude_desktop_config.json) — same mcpServers block as above.
.cursor/mcp.json (project-scoped) or ~/.cursor/mcp.json (global) — same mcpServers block as above.
cline_mcp_settings.json (VS Code extension storage; macOS: ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json) — same mcpServers block as above.
| Client | Status |
|---|---|
| Claude Code | tested in real agent sessions — autonomous list → search → invoke → read_more workflow verified end-to-end |
| Claude Desktop | protocol-verified* |
| Cursor | config format documented, community testing welcome |
| Cline | config format documented, community testing welcome |
\* Verified via MCP protocol integration tests (236 automated tests, including full stdio protocol round-trips against real downstream servers, run in CI on every push). Real-client reports welcome.
downstreamsEach entry is either a stdio server (same shape as mcpServers) or a Streamable HTTP server:
{
"downstreams": { "local-tool": { "command": "npx", "args": ["-y", "some-mcp-server"], "env": { "TOKEN": "${TOKEN}" } }, "remote-tool": { "url": "https://mcp.example.com/mcp", "transport": "streamable-http" } } }
${VAR_NAME} in any string value is expanded from the environment; a missing variable fails config load with a readable error.
compressionPolicy resolution order is default < perServer < perTool (later overrides earlier, field by field):
{
"compression": { "default": { "maxOutputTokens": 2000, "htmlToMarkdown": true, "stripBase64": true, "jsonSummary": true, "llmSummary": false, "bypass": false }, "perServer": { "github": { "maxOutputTokens": 4000 } }, "perTool": { "filesystem/read_file": { "maxOutputTokens": 8000 } } } }
| Field | Type | Default | Meaning |
|---|---|---|---|
maxOutputTokens | number | 2000 | Soft budget (chars ≈ tokens × 3.5) a compressed output is truncated to as a last resort. |
htmlToMarkdown | boolean | true | Convert detected HTML to Markdown, extracting the main content region (nav/header/footer chrome stripped) when one is recognizable. |
stripBase64 | boolean | true | Replace base64 blobs (data URIs and bare blocks) with a read_more handle. |
jsonSummary | boolean | true | Collapse homogeneous JSON arrays and trim long string fields, keeping valid JSON. |
llmSummary | boolean | false | Semantically summarize over-budget outputs with an LLM of your choice. Requires the top-level llm block - see LLM summarization (opt-in). |
bypass | boolean | false | Skip the whole pipeline for this server/tool - output passes through untouched. |
report{
"report": { "enabled": true, "markdownPath": "./context-firewall-report.md" } }
| Field | Type | Default | Meaning |
|---|---|---|---|
enabled | boolean | true | Print the session report to stderr on shutdown. |
markdownPath | string | *(none)* | If set, also write the report as a Markdown file at this path. |
callToolTimeoutMsTop-level (not nested under compression). Per-invoke_tool timeout in milliseconds passed to the downstream MCP SDK client; a downstream that hangs without responding causes invoke_tool to return an isError result once this elapses, instead of blocking. Defaults to the SDK's own default (60,000ms) when unset.
{ "callToolTimeoutMs": 30000 }
The client calls list_tool_categories() to see what's connected and what it's roughly capable of, search_tools(query) to pull the full input schema for candidate tools, invoke_tool(server, tool, args) to actually run one (compressed on the way back), and read_more(handle, offset, length) to page through anything that got compressed. Compression, when it runs, always applies in the same order: strip base64 → main-content extraction + HTML to Markdown → JSON structure summary → truncate to budget (if the opt-in LLM summarization stage below is enabled, it runs right before truncation). Content extraction is conservative by design: it only strips chrome when a semantic content region ( / ) is recognizable or the removal clearly isn't the page's actual content, and falls back to whole
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