agentruntime-mcp 0.3.2

AgentRuntime MCP SDK (decorators, runtime, middleware, schemas, proxy)

AgentRuntime MCP SDK (Python)

Opinionated SDK for MCP connectors using FastMCP with the same Control integration as agentruntime-mcp-go: optional POST /mcp/config, env merge, and request metadata (run token, instance id).

There is no mandatory legacy standalone token/HMAC middleware chain in front of every request. Probe-style auth is the Bearer run token (or X-MCP-Token) and headers AgentRuntime sends; optional auth.mode in config.yaml is reserved for future templates and does not switch Control gating off.

Install

pip install agentruntime-mcp

Runtimes

Entry	When to use	HTTP
run(config_path)	Decorator-only tool() modules; tools registered from config.yaml / build_schemas	/mcp
run_with_registry(config_path, *names)	Plugins registered with register_adapter; one process, one MCP server	/mcp
run_with_router(config_path)	Same registry, monolith routing (Go RunWithRouter / TS runWithRouter parity)	/{adapter}/mcp plus optional webhook routes on the same ASGI app

Use register_adapter for anything that should share a process with other adapters. Keep plain run() for single-connector demos that only use decorators and YAML tools.

Webhooks: Implement register_webhook(self, mux: ServeMux) on the adapter. Paths are registered on the root Starlette app before adapter mounts (same dispatch order as Go/TS). Operators expose vendor callbacks as https://<host>:<port><path> (same host/port as MCP).

Minimal example

from pydantic import BaseModel, Field
from agentruntime.mcp.decorators import tool
from agentruntime.mcp.runtime import run
from fastmcp import Context

class In(BaseModel):
    a: float = Field(...)
    b: float = Field(...)

class Out(BaseModel):
    result: float
    expression: str

@tool(name="add", input_model=In, output_model=Out)
def add(a: float, b: float, ctx: Context) -> Out:
    region = ctx.config.region  # resolved config when schema + Control are used
    return Out(result=a + b, expression=f"{a} + {b}")

if __name__ == "__main__":
    run("config.yaml")

Config (config.yaml)

• server: name, host, port, stateless_http
• tracing: enable OpenTelemetry when dependencies are present
• config: declarative schema for Control / GET /mcp/config/schema

Env overrides: HOST, PORT (see docs/mcp/mcp_env.md).

Example:

server:
  name: "MyConnector"
  host: "127.0.0.1"
  port: 8012
  stateless_http: true

tracing:
  enabled: false

config:
  apiKey:
    type: string
    displayName: API Key
    required: true

Control config resolution

When the adapter registers at least one config key:

• Set MCP_CONTROL_SERVER_URL to your control-service base URL.
• The SDK may call POST /mcp/config with the run token from the request and your schema.
• Set MCP_CONFIG_FETCH_REQUIRED=false for local work without Control (when you still declare schema keys).

See docs/mcp/mcp_env.md for the full variable list.

Proxy (library)

from agentruntime.mcp.proxy import run_proxy
run_proxy(
    target_url="http://127.0.0.1:8000/mcp",
    overlay_file="tools.yaml",
    host="127.0.0.1",
    port=8010,
)

Tool organization (toolorg)

Large connectors can build publish metadata for Control catalog grouping. Parity with Go toolorg — see MCP_SDK_PARITY.md.

from agentruntime.mcp.toolorg import publisher_metadata, Metadata

meta = publisher_metadata("clickup_get_task", Metadata())
# → display_name, suggested_group, suggested_tags for mcp_tools.metadata

Per-request caller bearer (for downstream HTTP): request_bearer_from_context().

TypeScript sibling SDK

For Node deployments, use the monorepo package packages/agentruntime-mcp-ts (@agentruntime-labs/agentruntime-mcp): official @modelcontextprotocol/server, Zod 4, runWithRouter.

Examples in this repo

• connectors/py-connectors/resend-connector — Python Resend connector (illustrative layout)

Releasing

See ../RELEASE.md (Python section): lightweight Git tags (v0.1.0, v0.1.1), bump version in pyproject.toml, do not commit __pycache__ / *.egg-info/.