greennode-agentbase-mcp

An MCP server that exposes the GreenNode AgentBase REST APIs as 3 searchable meta-tools — a search→execute gateway that cuts the MCP tool-definition tax ~95%+ versus flattening every operation into its own tool. Runs locally over stdio (default) or remotely over streamable HTTP, with any MCP-speaking client.

Table of contents

• Quick start

• How it works

• Transports: stdio vs. streamable HTTP

• Configuration

• Development & operations

• Further reading

• License

Related MCP server: agentforge

Quick start

Connect a local MCP client (Claude Code, Cursor, Windsurf, …) to the gateway over stdio in under a minute.

Prerequisites

• Node.js ≥ 20 (see package.json engines)

• A GreenNode AgentBase bearer token — one token is valid across all six services

1. Install

git clone https://github.com/GreenNodeHub/greennode-agentbase-mcp.git
cd greennode-agentbase-mcp
npm ci

2. Run (stdio is the default transport — no need to set TRANSPORT)

GREENNODE_MCP_TOKEN=<your-token> npm start

3. Wire up your client. Claude Code — .mcp.json:

{
  "mcpServers": {
    "agentbase": {
      "command": "npx",
      "args": ["tsx", "src/index.ts"],
      "env": { "GREENNODE_MCP_TOKEN": "<your-token>" }
    }
  }
}

For Cursor, Windsurf, Cline, Roo Code, Claude Desktop, and other clients, see docs/mcp-client-quickstart.html — same command + env, each client's own config key.

Optional — auto-rotating token (external). If you have the agentbase skill installed (it ships .claude/skills/agentbase/scripts/get_token.sh, which is not part of this repo) plus GREENNODE_CLIENT_ID / GREENNODE_CLIENT_SECRET (or a .greennode.json), point your client at scripts/mcp-launch.sh instead. It mints a fresh ~30-minute IAM JWT on every (re)start, so reconnecting rotates the token automatically — no manual re-export, no stale-token 401s.

First call flow: list_servers → search_tools → execute (see How it works).

How it works

Instead of exposing 100+ operations as individual MCP tools (a large manifest the model pays for every turn), the server exposes 3 meta-tools. The full operation set lives in a generated registry the model searches on demand.

┌───────────────────────────────────────────────────────────────┐
│  Generated layer  (from specs, committed, never hand-edited)  │
│    registry.generated.json                                    │
│      every operation: { id, service, method, path,            │
│                         summary, tags, inputSchema, … }       │
└───────────────────────────────────────────────────────────────┘
                          ▲ consumed by
┌───────────────────────────────────────────────────────────────┐
│  Meta layer  (hand-written TypeScript)                        │
│    • 3 meta-tools: list_servers, search_tools, execute        │
│    • BM25 search engine                                       │
│    • JMESPath field projection + response byte cap            │
│    • inbound auth + downstream token pass-through             │
│    • env resolver (base URLs, transport, limits)              │
└───────────────────────────────────────────────────────────────┘

Meta-tools

Discovery is two steps: search_tools returns enough to call execute directly (the input schema is inline), so there's no separate describe step.

// 1) orient on the six services
list_servers()
// → [{ "name": "policy", "description": "policy service (… operations)", "operationCount": …, "tags": […] }, …]

// 2) search by intent — the id and full inputSchema come back together
search_tools({ query: "list policy groups" })
// → [{ "id": "policy.get_api_v1_policy_groups", "service": "policy",
//      "summary": "List policy groups", "inputSchema": { "type": "object",
//      "properties": { "page": {…}, "page_size": {…}, "name": {…} } } }, …]

// 3) execute; `fields` is an optional JMESPath projection to shrink the response
execute({ id: "policy.get_api_v1_policy_groups", args: { page: 1, page_size: 10 } })
// → the live response (omit `fields` to see the whole body; pass e.g. fields:"items[].name" to project it)

Operation ids look like service.<method>_<slugified-path> (e.g. policy.get_api_v1_policy_groups). Always take an id from search_tools — never type one by hand.

Why meta-tools: 3 tool definitions (~1–2K resident tokens) instead of one tool per operation. See benchmarks/report-2026-07-06.md for the token math — a 36.8× smaller manifest and 7–41% fewer input tokens end-to-end versus the flat (one-tool-per-op) variant.

Transports: stdio vs. streamable HTTP

stdio (default)

The server reads JSON-RPC from stdin and writes responses to stdout. stdout is the protocol — all diagnostics and the one-line startup banner go to stderr, so they never corrupt the stream.

GREENNODE_MCP_TOKEN=<your-token> npm start   # TRANSPORT=stdio is the default

The token is read once at startup from the env var named by TOKEN_ENV (default GREENNODE_MCP_TOKEN). The server runs for the process lifetime and exits when the client closes stdin. See Quick start for the client-wiring snippet.

Streamable HTTP

For a deployed runtime or remote clients. Each POST /mcp builds a fresh server + StreamableHTTPServerTransport for that request (stateless) and authenticates from the Authorization header. The token is not read from the environment in this mode.

TRANSPORT=http npm start   # listens on :8080 (PORT); pass the token per request, not via env

Smoke-test it:

curl http://localhost:8080/healthz          # → {"ok":true}

# a raw initialize request to /mcp (clients normally build this JSON-RPC envelope for you)
curl -X POST http://localhost:8080/mcp \
  -H "Authorization: Bearer <your-token>" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"curl","version":"0"}}}'

Configuration

All config is via environment variables, read once at startup by loadEnvConfig (src/config/env.ts).

In streamable HTTP mode the token is not read from env at all — clients supply it per request via Authorization: Bearer. GREENNODE_MCP_TOKEN / TOKEN_ENV apply only to stdio.

Development & operations

Scripts (package.json):

Regenerate the registry when the upstream specs change:

npm run fetch-specs && npm run generate-registry

Then commit both specs/ and registry.generated.json. Both are generated — never hand-edit them.

Docker:

docker build -t greennode-agentbase-mcp .
docker run -e TRANSPORT=http -p 8080:8080 greennode-agentbase-mcp

The bearer token is supplied per request via the Authorization header (same as HTTP mode) — not via env.

⚠️ TRANSPORT defaults to stdio. A deployed HTTP runtime — and the shipped Dockerfile (which sets PORT but not TRANSPORT) — must set TRANSPORT=http explicitly. Without it the process starts in stdio mode and listens on no port. The docker run command above passes -e TRANSPORT=http; for a production image, bake ENV TRANSPORT=http into the Dockerfile.

Further reading

• docs/mcp-client-quickstart.html — per-client wiring (Claude Desktop/Code, Cursor, Windsurf, Claude.ai, Cline, Roo Code, agent frameworks)

• benchmarks/report-2026-07-06.md — gateway vs. flat token math

• specs/README.md — spec sources and regenerate notes

• docs/superpowers/specs/ — design docs (gateway, stdio local server, flatten baseline)

License

See LICENSE.