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io.github.cyanheads/workflows-mcp-server

Store, query, and create YAML workflow playbooks for LLM agents.

Automation & WorkflowTypeScriptv0.4.1

@cyanheads/workflows-mcp-server

Store, query, and create YAML workflow playbooks for LLM agents via MCP. STDIO or Streamable HTTP.

5 Tools

Version License Docker MCP SDK npm TypeScript Bun

Install in Claude Desktop Install in Cursor Install in VS Code

Framework


Overview

A declarative workflow library for LLM agents, backed by local YAML files. Store, list, and retrieve named, versioned multi-step playbooks — each a sequence of MCP server/tool calls — for permanent reuse or one-shot temporary runs. Runs as a stdio process or a local Streamable HTTP server; an in-memory index rebuilds automatically as files change.

Tools

ToolDescription
workflow_listList all permanent workflows in the index, with optional keyword, category, and tag filters.
workflow_getRetrieve a complete workflow definition by name, with global instructions prepended.
workflow_createWrite a new permanent workflow YAML to the library.
workflow_create_tempWrite a temporary one-shot workflow, indexed but excluded from list results.
workflow_deletePermanently remove a permanent workflow by name and optional version.

Capability reference

workflow_list tool

  • Optional keyword query filter (case-insensitive substring across workflow name and description)
  • Optional category filter (case-insensitive substring match)
  • Optional tag filter (AND match — all listed tags must be present)
  • Set includeTools: true to surface the unique server/tool pairs used across each workflow's steps
  • Temporary workflows are excluded; results sorted by name then version descending
  • Empty results echo the applied filters with a hint to broaden

workflow_get tool

  • Semver-aware: omit version to get the highest available match; specify a version for an exact lookup
  • Returns the full workflow YAML structure with all steps and metadata
  • Injects the global_instructions.md content as globalInstructions — apply these when executing the workflow; null when the file is absent
  • Temporary workflows are accessible here even though excluded from workflow_list
  • Template placeholders ({{input.foo}}, {{steps.X.output.Y}}) are returned verbatim — the server never interpolates them

workflow_create tool

  • Workflow stored at categories/<slugified-category>/<slugified-name>-<slugified-version>-workflow.yaml — one file per name@version, so multiple versions coexist
  • Rejects if name@version already exists — bump the version to create a new revision
  • Server stamps created_date and last_updated_date automatically
  • Index and snapshot rebuilt after write; filesystem watcher also fires (idempotent, debounced)

workflow_create_temp tool

  • No conflict check — temp workflows are intentionally ephemeral and overwriteable
  • Indexed and accessible via workflow_get but excluded from workflow_list results
  • Useful for one-shot plans, short-lived scaffolding, or session-specific orchestration steps

workflow_delete tool

  • Semver-aware: omit version to delete the highest available match; specify a version to target one exactly
  • Only permanent workflows can be deleted — temporary workflows are rejected (they expire on their own)
  • Irreversible: the file is removed and the workflow no longer appears in workflow_list or workflow_get

Features

Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.

Workflow library:

  • YAML workflow files validated against a schema at index time; invalid files are skipped and logged, never crash the server
  • In-memory index keyed by name@version, built at startup from workflows-yaml/categories/ recursively, kept fresh by a debounced recursive filesystem watcher on any add/change/remove
  • Semver-aware lookup — latest version returned when version is omitted
  • _index.json snapshot written on every rebuild for external tooling and debugging
  • Configurable WORKFLOWS_DIR, GLOBAL_INSTRUCTIONS_PATH, and debounce interval

Agent-friendly output:

  • Discriminated output — source: "permanent" | "temp" on every workflow_get response and typed reason codes (not_found, version_not_found, already_exists, temp_not_allowed, index_unavailable, …) on failures, so callers branch on data instead of parsing error strings
  • No extra round trip — workflow_get always returns globalInstructions alongside the workflow definition in the same response
  • Response shaping — workflow_list's optional includeTools flag pre-derives the unique server/tool pairs used by a workflow, and an empty result echoes the applied filters with a broadening hint instead of returning nothing

Getting started

No API keys required. The server reads from a local workflows-yaml/ directory by default.

Add the following to your MCP client configuration file:

{
  "mcpServers": {
    "workflows-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/workflows-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "WORKFLOWS_DIR": "/absolute/path/to/your/workflows-yaml"
      }
    }
  }
}

Or with npx (no Bun required):

{
  "mcpServers": {
    "workflows-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/workflows-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "WORKFLOWS_DIR": "/absolute/path/to/your/workflows-yaml"
      }
    }
  }
}

Or with Docker:

{
  "mcpServers": {
    "workflows-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "MCP_TRANSPORT_TYPE=stdio",
        "-v", "/absolute/path/to/your/workflows-yaml:/workflows-yaml",
        "-e", "WORKFLOWS_DIR=/workflows-yaml",
        "ghcr.io/cyanheads/workflows-mcp-server:latest"
      ]
    }
  }
}

For Streamable HTTP, set the transport and start the server:

MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp

Seed workflows

The repository ships a workflows-yaml/ directory with example workflows organized under categories/. These are ready to use as a starting point. The workflows-yaml/global_instructions.md file contains instructions the server prepends to every workflow_get response — edit it to set global guidance for your agent.

Prerequisites

  • Bun v1.4.0 or higher (or Node.js v24+).
  • A local directory containing YAML workflow files (or use the bundled workflows-yaml/ seed).

Installation

  1. Clone the repository:
git clone https://github.com/cyanheads/workflows-mcp-server.git
  1. Navigate into the directory:
cd workflows-mcp-server
  1. Install dependencies:
bun install
  1. Configure environment:
cp .env.example .env
# edit .env if needed — most settings have defaults

Configuration

VariableDescriptionDefault
WORKFLOWS_DIRAbsolute or relative path to the workflows root directory../workflows-yaml
GLOBAL_INSTRUCTIONS_PATHPath to the global instructions markdown file. Derives from WORKFLOWS_DIR when not set.<WORKFLOWS_DIR>/global_instructions.md
WATCHER_DEBOUNCE_MSMilliseconds to debounce filesystem change events before rebuilding the index.500
MCP_TRANSPORT_TYPETransport: stdio or http.stdio
MCP_HTTP_PORTPort for HTTP server.3010
MCP_SESSION_MODEHTTP sessions: auto, stateful, or stateless. This server needs no caller-input round trips; setting the variable overrides the declared posture.stateless, declared in src/index.ts
MCP_AUTH_MODEAuth mode: none, jwt, or oauth.none
MCP_LOG_LEVELLog level (RFC 5424).info
OTEL_ENABLEDEnable OpenTelemetry instrumentation (spans, metrics, completion logs).false

See .env.example for the full list of optional overrides.


Running the server

Local development

  • Build and run:

    # One-time build
    bun run rebuild
    
    # Run the built server
    bun run start:stdio
    # or
    bun run start:http
    
  • Run checks and tests:

    bun run devcheck   # Lint, format, typecheck, security
    bun run test       # Vitest test suite
    bun run lint:mcp   # Validate MCP definitions against spec
    

Docker

docker build -t workflows-mcp-server .
docker run --rm \
  -v /path/to/workflows-yaml:/workflows-yaml \
  -e WORKFLOWS_DIR=/workflows-yaml \
  -p 3010:3010 \
  workflows-mcp-server

The Dockerfile defaults to HTTP transport, stateless session mode, and logs to /var/log/workflows-mcp-server. OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.


Project structure

DirectoryPurpose
src/index.tscreateApp() entry point — registers tools and inits the workflow index service.
src/config/Server-specific environment variable parsing and validation with Zod.
src/mcp-server/tools/Tool definitions (*.tool.ts).
src/services/workflow-index/WorkflowIndexService — YAML parsing, index build, watcher, semver lookup, write helpers.
tests/Unit and integration tests mirroring src/.
workflows-yaml/Seed workflow library — categories/ for permanent workflows, temp/ for throwaway ones, global_instructions.md for agent-global guidance.

Development guide

See CLAUDE.md for development guidelines and architectural rules. The short version:

  • Handlers throw, framework catches — no try/catch in tool logic
  • Use ctx.log for request-scoped logging
  • Register new tools via the barrel in src/mcp-server/tools/definitions/index.ts
  • Filesystem operations go through WorkflowIndexService, not directly in tool handlers

Contributing

Issues are welcome. Run checks and tests before submitting:

bun run devcheck
bun run test

License

Apache-2.0 — see LICENSE for details.

Installation

Source-derived launch command. Check the maintainer’s required arguments and credentials before running:

bash
npx -y @cyanheads/workflows-mcp-server

Set up in your AI client

Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.

json
{
  "mcpServers": {
    "io-github-cyanheads-workflows-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/workflows-mcp-server"
      ]
    }
  }
}

Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.

Claude Desktop setup reference

Package

@cyanheads/workflows-mcp-servernpm

Compatible MCP Clients

io.github.cyanheads/workflows-mcp-server works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.

  • Claude Desktop~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.
  • Cursor~/.cursor/mcp.jsonRestart Cursor for changes to take effect.
  • VS Code.vscode/mcp.jsonReload VS Code window for changes to take effect.
  • Windsurf~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect.
  • Claude Code.mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.

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