cyanheads

@cyanheads/mcp-ts-core

Community cyanheads
Updated

Agent-native TypeScript framework for building MCP servers. Build tools, not infrastructure.

@cyanheads/mcp-ts-core

TypeScript framework for building Model Context Protocol (MCP) servers. Declarative tool/resource/prompt definitions, pluggable auth, multi-backend storage, OpenTelemetry observability, and support for both local (stdio/HTTP) and edge (Cloudflare Workers) runtimes.

Version MCP Spec MCP SDK License

TypeScript Bun

What is this?

@cyanheads/mcp-ts-core is the infrastructure layer for TypeScript MCP servers. Install it as a dependency — don't fork it. You write tools, resources, and prompts; the framework handles transports, auth, storage, config, logging, telemetry, and lifecycle.

import { createApp, tool, z } from '@cyanheads/mcp-ts-core';

const greet = tool('greet', {
  description: 'Greet someone by name and return a personalized message.',
  annotations: { readOnlyHint: true },
  input: z.object({ name: z.string().describe('Name of the person to greet') }),
  output: z.object({ message: z.string().describe('The greeting message') }),
  handler: async (input) => ({ message: `Hello, ${input.name}!` }),
});

await createApp({ tools: [greet] });

That's a complete MCP server. Every tool call is automatically logged with duration, payload sizes, memory usage, and request correlation — no instrumentation code needed. createApp() handles config parsing, logger init, transport startup, signal handlers, and graceful shutdown.

Features

  • Declarative definitionstool(), resource(), prompt() builders with Zod schemas. Framework handles registration, validation, and response formatting.
  • Unified Context — handlers receive a single ctx object with ctx.log (request-scoped logging), ctx.state (tenant-scoped storage), ctx.elicit (user prompting), ctx.sample (LLM completion), and ctx.signal (cancellation).
  • Inline authauth: ['scope'] on definitions. No wrapper functions. Framework checks scopes before calling your handler.
  • Task toolstask: true flag for long-running operations. Framework manages the full lifecycle (create, poll, progress, complete/fail/cancel).
  • Structured error handling — Handlers throw freely; the framework catches, classifies, and formats. Error factories (notFound(), validationError(), serviceUnavailable(), etc.) for precise control when the code matters. Auto-classification from plain Error messages when it doesn't.
  • Multi-backend storagein-memory, filesystem, Supabase, Cloudflare D1/KV/R2. Swap providers via env var without changing tool logic. Cursor pagination, batch ops, TTL, tenant isolation.
  • Pluggable authnone, jwt, or oauth modes. JWT with local secret or OAuth with JWKS verification.
  • Observability — Pino structured logging with optional OpenTelemetry tracing and metrics. Request IDs, trace correlation, tool execution metrics — all automatic.
  • Local + edge — Same code runs on stdio, HTTP (Hono), and Cloudflare Workers. createApp() for Node, createWorkerHandler() for Workers.
  • Tiered dependencies — Core deps always installed. Parsers, sanitization, scheduling, OTEL SDK, Supabase, OpenAI — optional peers. Install what you use.
  • Agent-first DX — Ships CLAUDE.md with full exports catalog, patterns, and contracts. AI coding agents can build on the framework with zero ramp-up.

Quick start

bunx @cyanheads/mcp-ts-core init my-mcp-server
cd my-mcp-server
bun install

That gives you a working project with CLAUDE.md, skills, config files, and a scaffolded src/ directory. Open it in your editor, start your coding agent, and tell it what tools to build. The agent learns the framework from the included docs and skills — tool definitions, resources, services, testing patterns, all of it.

What you get

Here's what tool definitions look like:

import { tool, z } from '@cyanheads/mcp-ts-core';

export const search = tool('search', {
  description: 'Search for items by query.',
  input: z.object({
    query: z.string().describe('Search query'),
    limit: z.number().default(10).describe('Max results'),
  }),
  async handler(input) {
    const results = await doSearch(input.query, input.limit);
    return { items: results };
  },
});

And resources:

import { resource, z } from '@cyanheads/mcp-ts-core';

export const itemData = resource('items://{itemId}', {
  description: 'Retrieve item data by ID.',
  params: z.object({ itemId: z.string().describe('Item ID') }),
  async handler(params, ctx) {
    return await getItem(params.itemId);
  },
});

Everything registers through createApp() in your entry point:

await createApp({
  name: 'my-mcp-server',
  version: '0.1.0',
  tools: allToolDefinitions,
  resources: allResourceDefinitions,
  prompts: allPromptDefinitions,
});

It also works on Cloudflare Workers with createWorkerHandler() — same definitions, different entry point.

Server structure

my-mcp-server/
  src/
    index.ts                              # createApp() entry point
    worker.ts                             # createWorkerHandler() (optional)
    config/
      server-config.ts                    # Server-specific env vars
    services/
      [domain]/                           # Domain services (init/accessor pattern)
    mcp-server/
      tools/definitions/                  # Tool definitions (.tool.ts)
      resources/definitions/              # Resource definitions (.resource.ts)
      prompts/definitions/                # Prompt definitions (.prompt.ts)
  package.json
  tsconfig.json                           # extends @cyanheads/mcp-ts-core/tsconfig.base.json
  CLAUDE.md                               # Points to core's CLAUDE.md for framework docs

No src/utils/, no src/storage/, no src/types-global/, no src/mcp-server/transports/ — infrastructure lives in node_modules.

Configuration

All core config is Zod-validated from environment variables. Server-specific config uses a separate Zod schema with lazy parsing.

Variable Description Default
MCP_TRANSPORT_TYPE stdio or http stdio
MCP_HTTP_PORT HTTP server port 3010
MCP_HTTP_HOST HTTP server hostname 127.0.0.1
MCP_AUTH_MODE none, jwt, or oauth none
MCP_AUTH_SECRET_KEY JWT signing secret (required for jwt mode)
STORAGE_PROVIDER_TYPE in-memory, filesystem, supabase, cloudflare-d1/kv/r2 in-memory
OTEL_ENABLED Enable OpenTelemetry false
OPENROUTER_API_KEY OpenRouter LLM API key

See CLAUDE.md for the full configuration reference.

API overview

Entry points

Function Purpose
createApp(options) Node.js server — handles full lifecycle
createWorkerHandler(options) Cloudflare Workers — returns { fetch, scheduled }

Builders

Builder Usage
tool(name, options) Define a tool with handler(input, ctx)
resource(uriTemplate, options) Define a resource with handler(params, ctx)
prompt(name, options) Define a prompt with generate(args)

Context

Handlers receive a unified Context object:

Property Type Description
ctx.log ContextLogger Request-scoped logger (auto-correlates requestId, traceId, tenantId)
ctx.state ContextState Tenant-scoped key-value storage
ctx.elicit Function? Ask the user for input (when client supports it)
ctx.sample Function? Request LLM completion from the client
ctx.signal AbortSignal Cancellation signal
ctx.progress ContextProgress? Task progress reporting (when task: true)
ctx.requestId string Unique request ID
ctx.tenantId string? Tenant ID (from JWT or 'default' for stdio)

Subpath exports

import { createApp, tool, resource, prompt } from '@cyanheads/mcp-ts-core';
import { createWorkerHandler } from '@cyanheads/mcp-ts-core/worker';
import { McpError, JsonRpcErrorCode, notFound, serviceUnavailable } from '@cyanheads/mcp-ts-core/errors';
import { checkScopes } from '@cyanheads/mcp-ts-core/auth';
import { markdown, fetchWithTimeout } from '@cyanheads/mcp-ts-core/utils';
import { OpenRouterProvider, GraphService } from '@cyanheads/mcp-ts-core/services';
import { createMockContext } from '@cyanheads/mcp-ts-core/testing';

See CLAUDE.md for the complete exports reference.

Examples

The examples/ directory contains a reference server consuming core through public exports, demonstrating all patterns:

Tool Pattern
template_echo_message Basic tool with format, auth
template_cat_fact External API call, error factories
template_madlibs_elicitation ctx.elicit for interactive input
template_code_review_sampling ctx.sample for LLM completion
template_image_test Image content blocks
template_async_countdown task: true with ctx.progress
template_data_explorer MCP Apps with linked UI resource

Testing

import { createMockContext } from '@cyanheads/mcp-ts-core/testing';
import { myTool } from '@/mcp-server/tools/definitions/my-tool.tool.js';

const ctx = createMockContext({ tenantId: 'test-tenant' });
const input = myTool.input.parse({ query: 'test' });
const result = await myTool.handler(input, ctx);

createMockContext() provides stubbed log, state, and signal. Pass { tenantId } for state operations, { sample } for LLM mocking, { elicit } for elicitation mocking, { progress: true } for task tools.

Documentation

  • CLAUDE.md — Complete API reference: exports catalog, patterns, Context interface, error codes, auth, config, testing. Ships in the npm package.
  • CHANGELOG.md — Version history

Development

bun run build          # tsc && tsc-alias
bun run devcheck       # lint, format, typecheck, security
bun run test           # vitest
bun run dev:stdio      # dev mode (stdio)
bun run dev:http       # dev mode (HTTP)

Contributing

Issues and pull requests welcome. Run checks before submitting:

bun run devcheck
bun run test

License

Apache 2.0 — see LICENSE.

MCP Server · Populars

MCP Server · New

    unbrowse-ai

    Unbrowse

    Unbrowse — api native browser skill/cli for any agent. Auto-discovers APIs from browser traffic, generates skills on the fly to call APIs directly 100x faster, 80% cheaper locally.

    Community unbrowse-ai
    campfirein

    ByteRover CLI

    ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)

    Community campfirein
    cafeTechne

    Antigravity Link (VS Code Extension)

    VS Code extension that bridges Antigravity sessions to mobile for uploads and voice-to-text

    Community cafeTechne
    cookjohn

    TeamMCP

    MCP-native collaboration server for AI agent teams — real-time messaging, task management, and web dashboard with just 1 npm dependency

    Community cookjohn
    NameetP

    pdfmux

    PDF extraction that checks its own work. #2 reading order accuracy — zero AI, zero GPU, zero cost.

    Community NameetP