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mcp-anything

by Dror-Bengalversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.Dror-Bengal/mcp-anything

Install

Overview

Description from the maker (original English)

Meta-MCP gateway: search, inspect and call any MCP server from the public registries.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "anything": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-anything",
        "serve"
      ]
    }
  }
}

Run this in your terminal

claude mcp add anything -- npx -y mcp-anything serve

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "anything": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-anything",
        "serve"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "anything": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-anything",
        "serve"
      ]
    }
  }
}

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 runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Dror-Bengal, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5651 servers in this category
  • Published to the registry more recently than 33% of the other 5651 servers in this category
  • Basic checks equal to or better than 100% of the other 5651 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is mcp-anything safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

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.

mcp-anything

One MCP server that can discover and call (almost) any MCP server in the world.

mcp-anything is a *meta*-MCP server: instead of configuring dozens of MCP servers in your host (Claude Desktop, Claude Code, Cursor, ...), you configure exactly one. It indexes the official MCP registry locally and exposes five small meta-tools that let the model search for servers, inspect them, and call their tools on the fly — without ever loading thousands of tool schemas into the context window.

Host / LLM

│ (5 meta-tools, constant context cost) ▼ mcp-anything ──── local BM25 index ◄──┬── official MCP registry (moderated, richest metadata) │ (cross-source dedupe, ├── PulseMCP (~22k servers, stars & downloads) │ popularity-boosted ├── npm (~67k packages tagged mcp) │ ranking) └── Glama (~75k indexed servers) │ │ security policy: SSRF guard · stdio allowlist · secrets injection · timeouts ▼ downstream MCP servers (streamable-http / sse / stdio via npx·uvx)

Why

  • Discovery: thousands of MCP servers exist; your host only knows the ones you hand-configured.
  • Context: loading many servers burns your context window. Meta-tools keep the cost constant — the model searches for capabilities in two phases (search → inspect → call), the same pattern Anthropic's Tool Search uses.
  • One config: a single entry in your MCP client config instead of one per server.

Quickstart

# Run directly (Node >= 20):

npx mcp-anything sync # first-time index download (~few seconds) npx mcp-anything serve # start the meta-MCP server on stdio

Claude Code
claude mcp add anything -- npx -y mcp-anything serve
Claude Desktop / other hosts
{

"mcpServers": { "anything": { "command": "npx", "args": ["-y", "mcp-anything", "serve"] } } }

Then just ask your model things like *"find an MCP server that can query Postgres and list its tools"* — it will use the meta-tools by itself.

HTTP mode & hosted discovery
mcp-anything serve --http                    # streamable HTTP on :8080 (POST /mcp)

mcp-anything serve --http --discovery-only # safe for public hosting: search/describe only

A public instance with execution enabled would be an open proxy — never host a full instance publicly. The Dockerfile defaults to discovery-only for exactly this reason. A hosted discovery instance lets any MCP client search the ecosystem; actually connecting and calling tools is what the local install is for.

CLI
mcp-anything sync             # refresh the registry index

mcp-anything search "weather" # search the index from your terminal mcp-anything serve # stdio MCP server (default command)

The meta-tools

ToolWhat it does
search_mcp_serversKeyword search (BM25 + fuzzy) over the indexed registry. Returns candidates with a connectability verdict.
describe_mcp_serverFull registry metadata: transports, packages, required env vars / secrets, policy verdict.
list_mcp_toolsConnects live (per policy) and lists the server's actual tools with JSON schemas.
call_mcp_toolExecutes one tool on a downstream server. Sessions are pooled and reused.
sync_registryForces an index refresh (otherwise auto-refreshed on TTL expiry).

Security model

Connecting an LLM to arbitrary servers from a public registry is dangerous by default. mcp-anything ships with conservative defaults and makes every relaxation explicit:

  • Remote servers (streamable-http / sse): allowed, but private/loopback/link-local addresses (including cloud metadata endpoints like 169.254.169.254) and plain http: are blocked — an SSRF guard for registry entries that point into your network. Opt out with remote.allowPrivateNetwork (useful for local development only).
  • Stdio servers (spawning npx / uvx processes): disabled by default. Running a package from a public registry is arbitrary code execution on your machine. Enable it only with an explicit per-package allowlist.
  • Secrets: API keys are never indexed or exposed to the model. You map them per server in your config; they are injected at connect time (headers for remote, env for stdio).
  • Untrusted output: results and tool descriptions from downstream servers are labeled as third-party data so the model treats them as data, not instructions. This *reduces* prompt-injection risk; it does not eliminate it — see SECURITY.md.
  • Limits: connect/call timeouts, response-size truncation, bounded session pool.

Configuration

~/.config/mcp-anything/config.json (or --config , or MCP_ANYTHING_CONFIG):

{

"registryUrl": "https://registry.modelcontextprotocol.io", "sources": ["official"], "qualityFilter": true, "cacheTtlHours": 24, "maxServers": 10000, "policy": { "remote": { "enabled": true, "allowPrivateNetwork": false, "headers": { "io.github.example/github": { "Authorization": "Bearer ghp_..." } } }, "stdio": { "enabled": false, "allowPackages": ["@modelcontextprotocol/server-filesystem"], "env": { "io.github.example/postgres": { "DATABASE_URL": "postgres://..." } } }, "limits": { "callTimeoutMs": 60000, "connectTimeoutMs": 20000, "maxSessions": 8, "maxResultChars": 100000 } } }

Every field is optional; the defaults above (minus the example headers/env) are what you get with no config at all. registryUrl accepts any registry implementing the official REST API — including a private/self-hosted one.

Index sources — going wide

sources controls how much of the ecosystem gets indexed:

SourceScaleWhat it adds
official *(default)*thousandsModerated entries with the richest metadata (transports, env vars, versions)
pulsemcp~22kBroad catalog + GitHub stars & download counts (feeds ranking)
npm~67k tagged packagesThe largest raw pool of stdio servers, with monthly downloads
glama~75kThe widest index (best-effort adapter)
{ "sources": ["official", "pulsemcp", "npm"] }

Entries appearing in several catalogs are deduplicated by normalized repository URL and package identifier; the most-trusted source wins the identity, metadata is backfilled from the others, and stars/downloads accumulate. Ranking then combines BM25 relevance with a log-scaled popularity boost (and a bonus for official-registry entries), so search_mcp_servers surfaces the maintained implementation of a capability rather than the hundredth abandoned clone. qualityFilter (default on) drops entries with no way to connect and no usable description — with wide sources, *more* is only better if the junk stays out of the top-5. A failed source degrades gracefully: the sync keeps whatever the other sources returned and reports the failure.

Design notes

  • Lexical search, not embeddings. Fully local, zero API cost, no index build step — and for tool discovery, keyword search with fuzzy matching performs comparably in practice (Anthropic's Tool Search made the same call with BM25/regex).
  • Sessions, not stateless calls. MCP is session-oriented (initialize handshake, capability negotiation). Downstream connections are pooled and reused across calls with LRU eviction.
  • Graceful degradation. If the registry is unreachable, the last-synced cache keeps working.

Prior art & positioning

This space is active: MetaMCP and other gateways aggregate *servers you configure*; Composio's Rube routes to *its own curated catalog*; hosts are growing native tool-search. mcp-anything's niche is the open combination: the public registry as the catalog, a local-first single binary, and an explicit security policy — no cloud account, no curation lock-in, self-hostable against a private registry.

Roadmap

  • Live health checks and result-quality signals in ranking
  • Per-tool (not just per-server) search by indexing tools/list of popular servers
  • OAuth flow passthrough for remote servers that require it
  • Container/Wasm sandboxing for stdio servers as an alternative to allowlisting
  • Multiple registries with federation and dedupe
  • Optional streamable-http serving mode (for shared/team deployment)

Development

npm install

npm test # unit + end-to-end (mock registry + real downstream MCP server) npm run typecheck npm run build node scripts/smoke.mjs # spawns the built CLI as a real stdio MCP server

See CONTRIBUTING.md. Licensed MIT.

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