MetaMCP
Aggregates multiple MCP servers into a single interface, reducing token overhead and simplifying tool management for LLMs.
README
MetaMCP
MetaMCP connects all your MCP servers through one. Your model sees 6 tools instead of hundreds.
Think of it like a power strip for MCP servers. Plug in as many as you need -- playwright, databases, GitHub, custom tools -- and your LLM talks to one server that handles everything behind the scenes.
┌─── playwright (52 tools)
│
LLM ──► MetaMCP ────────┼─── fetch (3 tools)
(6 tools) │
├─── sqlite (6 tools)
│
└─── ... N more servers
Cloud Run + Agent Registry Gateway
Deploy MetaMCP as a governed Cloud Run MCP gateway, register it with Google Agent Registry, and consume it from Google ADK agents with Mentu evidence for every tool call.
The production path is:
- Turn 100 MCP tools into 6 MetaMCP gateway tools.
- Run the gateway over Streamable HTTP on Cloud Run.
- Mount child MCP configuration and bearer credentials from Secret Manager.
- Register the gateway as an external MCP server in Agent Registry.
- Resolve it from a Python ADK agent with
AgentRegistry.get_mcp_toolset. - Export
.metamcp/ledger.jsonlas a hash-linked evidence bundle.
# 1. Configure Secret Manager and the Cloud Run service account.
PROJECT_ID="your-project-id" scripts/gcp/setup-secrets.sh
# 2. Build and deploy MetaMCP to Cloud Run.
PROJECT_ID="your-project-id" scripts/gcp/deploy-cloud-run.sh
# Include INVOKER_MEMBER when an ADK runtime should call the private gateway.
PROJECT_ID="your-project-id" \
INVOKER_MEMBER="serviceAccount:metamcp-adk-agent@your-project-id.iam.gserviceaccount.com" \
scripts/gcp/deploy-cloud-run.sh
# 3. Register the deployed /mcp endpoint with Agent Registry.
PROJECT_ID="your-project-id" scripts/gcp/register-agent-registry.sh
The Agent Registry tool spec lives in gcp/agent-registry/toolspec.json, the ADK consumer sample lives in examples/gcp-adk-agent, and CI/CD examples are available for Cloud Build and Azure DevOps.
By default the Cloud Run service is deployed with --no-allow-unauthenticated. The ADK sample can send a Cloud Run identity token in X-Serverless-Authorization and the MetaMCP gateway token in Authorization.
Why MetaMCP?
Every MCP server you add registers its tool schemas with the LLM. Each schema eats context tokens. At 5 servers with 20 tools each, that's ~15,000 tokens spent on schemas alone -- every single request.
MetaMCP collapses all of that into 6 tools (~1,300 tokens). That cost stays constant whether you run 3 servers or 30. Less token overhead, better tool selection accuracy, more room for actual work.
Beyond token savings, MetaMCP handles the things you shouldn't have to think about: connection pooling, process lifecycle, error recovery, schema caching, and transport differences between local and remote servers.
Quick Start
Install and run:
npx @mentu/metamcp@0.5.0 # run directly (no install)
npm install -g @mentu/metamcp # or install globally
Auto-configure your editor (Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, and more):
npx @mentu/metamcp init
Add servers from the built-in gallery (122 curated servers):
metamcp add playwright sentry memory postgres # one-click, writes .mcp.json
metamcp add --list # browse all available servers
metamcp add --category search # filter by category
Or create a .mcp.json manually:
{
"mcpServers": {
"playwright": {
"command": "npx",
"args": ["-y", "@playwright/mcp@latest"]
},
"sqlite": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-sqlite", "/path/to/db"]
}
}
}
metamcp --config .mcp.json
That's it. MetaMCP speaks MCP over stdio for local clients and Streamable HTTP for remote clients such as Cloud Run.
Run remote HTTP mode locally:
npm run build
METAMCP_TRANSPORT=http METAMCP_CONFIG=.mcp.json PORT=8080 npm start
curl http://localhost:8080/healthz
Note: MetaMCP optionally uses
better-sqlite3for semantic search. This requires a C++ compiler. If compilation fails, MetaMCP still works with keyword-only search. On macOS:xcode-select --install. On Linux:apt install build-essential.
The Tools
MetaMCP gives the LLM 6 tools: 4 core tools for server management, and 2 advisory tools for skill awareness.
Core Tools
mcp_discover -- Find tools
Search tool catalogs across all connected servers. Without a query, returns server status and tool counts.
{ "query": "screenshot" }
mcp_provision -- Get what you need
Describe a capability and MetaMCP resolves the right server. It searches local catalogs first, then the npm registry for installable servers.
{ "intent": "I need to crawl a website and extract links" }
mcp_call -- Use a tool
Forward a tool call to a specific server. MetaMCP handles connection management and retries on crash.
{ "server": "playwright", "tool": "browser_navigate", "args": { "url": "https://example.com" } }
mcp_execute -- Write code
Run JavaScript in a V8 sandbox with access to all provisioned servers. Compose multi-step workflows, loops, and conditionals in a single call.
{ "code": "const result = await servers.sqlite.call('query', { sql: 'SELECT count(*) FROM users' }); return result;" }
Skill-Aware Tools
Skills are methodology files (SKILL.md) that teach agents how to use MCP servers effectively. MetaMCP can discover skills and check whether their required MCP servers are available.
mcp_skill_discover -- Find skills
Search installed skills with MCP readiness status. Returns matching skills, their required servers, and whether those servers are connected.
{ "query": "browser automation" }
mcp_skill_advise -- Pre-flight check
Check whether a specific skill's dependencies are satisfied before using it.
{ "skill": "playwright" }
Skills live in ~/.claude/skills/ (personal) or .claude/skills/ (project). MetaMCP scans both locations and matches skills to their companion MCP servers via the requires-mcp frontmatter field. See Skills in the docs.
Server Gallery
MetaMCP ships with a curated gallery of 122 MCP servers across developer tools, databases, browser automation, search, security, monitoring, and more.
metamcp add --list # browse all servers
metamcp add playwright sentry neon # add multiple at once
metamcp add --category databases # filter by category
When you add a server that has a companion skill installed, MetaMCP tells you:
Added 2 server(s): playwright, sentry
Companion skills detected:
playwright → skill: playwright
sentry → skill: sentry
These skills teach agents how to use these servers effectively.
See the full gallery at metamcp.org/guides/server-gallery.
Evidence Export
MetaMCP records tool activity in .metamcp/ledger.jsonl. You can export that append-only ledger into a hash-linked evidence bundle:
metamcp export-evidence --ledger .metamcp/ledger.jsonl --out .metamcp/evidence-bundle.json
metamcp export-evidence --out .metamcp/evidence-bundle.json --verify
The bundle schema is io.mentu.metamcp.evidence-bundle.v1. Each entry includes the original ledger event, its previous hash, and its current SHA-256 hash so later systems can verify continuity.
Configuration
MetaMCP reads .mcp.json -- the same format used by Claude Desktop and Claude Code.
Local server:
{
"mcpServers": {
"my-server": {
"command": "/usr/local/bin/my-mcp-server",
"args": ["--port", "8080"],
"env": { "API_KEY": "..." }
}
}
}
Remote server (SSE):
{
"mcpServers": {
"remote-tools": {
"url": "https://mcp.example.com/sse",
"transportType": "sse",
"headers": { "Authorization": "Bearer your-token" }
}
}
}
Remote server (HTTP) with OAuth:
{
"mcpServers": {
"cloud-server": {
"url": "https://mcp.example.com/api",
"oauth": true
}
}
}
Server lifecycle:
{
"mcpServers": {
"database": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-sqlite", "/path/to/db"],
"lifecycle": { "mode": "keep-alive", "idleTimeoutMs": 600000 }
},
"one-shot": {
"command": "/usr/local/bin/converter",
"lifecycle": "ephemeral"
}
}
}
Three transport types: stdio (local, default), http (Streamable HTTP), and sse (Server-Sent Events). OAuth triggers a browser flow on first connect, with tokens saved to ~/.metamcp/oauth/.
Lifecycle controls idle behavior: keep-alive servers persist, ephemeral servers tear down immediately after use, and servers without a declaration follow the default pool timeout.
Secret resolution from the vault
Hard-coding API_KEY strings in .mcp.json is the easiest way to leak credentials into git. MetaMCP supports ${KEY} references in any env or headers value and resolves them at config load time:
{
"mcpServers": {
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": { "GITHUB_TOKEN": "${GITHUB_TOKEN}" }
},
"remote-tools": {
"url": "https://mcp.example.com/sse",
"transportType": "sse",
"headers": { "Authorization": "Bearer ${REMOTE_TOOLS_TOKEN}" }
}
}
}
Resolution order for each ${KEY}:
mentu vault- if mentu-vault is installed at~/.local/bin/mentu-vault, MetaMCP looks up the key in the macOS Keychain (or the age-encrypted file fallback). Workspace-scoped lookup is tried first whenMENTU_WORKSPACEis set, then global.process.env- standard environment variable.- Literal - if neither resolves, MetaMCP logs a warning and leaves the
${KEY}reference in place so misconfiguration is visible instead of silent.
Vault lookups are cached for the process lifetime, so resolution happens once at startup with no per-connection overhead. Inline references like "Bearer ${TOKEN}" and standalone "${TOKEN}" are both supported.
If you do not use mentu vault, MetaMCP falls back to process.env automatically - no extra config needed. Just export GITHUB_TOKEN=... and the same .mcp.json works.
Secret scrubbing on the way out
MetaMCP also runs an output scrubber on every tool response before it returns to the LLM. JWTs, OpenAI/GitHub/Slack/AWS tokens, and JSON-shaped credential keys (password, secret, api_key, access_token, private_key, authorization, etc.) are replaced with [REDACTED:LABEL]. This is best-effort defense in depth - secrets that match well-known patterns get caught even if a misconfigured downstream server echoes them in an error message.
What MetaMCP handles for you
- Connection pool -- bounded pool with LIFO idle eviction. Servers start lazily on first use.
- Circuit breaker -- per-server failure tracking. Errors are classified: auth failures (401/403) never trip the breaker, only transient errors count.
- Schema caching -- tool schemas persist to disk for fast cold starts. Stale caches refresh transparently.
- Config import --
--importdiscovers servers from Cursor, Claude Desktop, Claude Code, VS Code, Windsurf, Codex, and OpenCode. - Hot reload -- MetaMCP watches
.mcp.jsonfor changes. Add servers withmetamcp addand they become available within 2 seconds, no restart needed. - V8 sandbox --
mcp_executeruns in a locked-down context. Noeval, norequire, no network access. - Multi-transport -- stdio, HTTP, and SSE with OAuth. The model doesn't know the difference.
- Skill awareness -- discovers companion skills for MCP servers and checks readiness before invocation.
CLI
| Command | Description |
|---|---|
metamcp |
Start the MetaMCP server (default) |
metamcp init |
Auto-configure MetaMCP in all supported MCP clients |
metamcp add <server> |
Add server(s) from the gallery to .mcp.json |
metamcp add --list |
Browse all available servers |
| Flag | Default | Description |
|---|---|---|
--config <path> |
.mcp.json |
Path to config file |
--max-connections <n> |
20 |
Connection pool max size |
--idle-timeout <ms> |
300000 |
Idle connection timeout |
--failure-threshold <n> |
5 |
Circuit breaker failures before trip |
--cooldown <ms> |
30000 |
Circuit breaker cooldown |
--import |
off | Import configs from installed editors |
Documentation
Full docs at metamcp.org.
Contributing
See CONTRIBUTING.md for development setup and guidelines.
Links
License
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