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@yawlabs/terraform-cwd-mcp

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One click adds this to your local Yaw MCP config so it's available in every Yaw Terminal session. Or install manually below.

What is actually true in THIS Terraform working directory: the exact provider schemas pinned in your .terraform.lock.hcl (so coding agents stop writing arguments that do not exist, were removed, or are read-only), plus your saved plans, your state (redacted), your local and installed modules, and what a provider upgrade would break. It complements HashiCorp's terraform-mcp-server rather than replacing it: that server answers from the Terraform Registry docs, which describe the latest provider release; this one answers from terraform providers schema -json in your root module, which describes the version you actually locked. Run both.

npm version License: MIT

Built and maintained by Yaw Labs.

Why this one?

Your lock file says hashicorp/aws 5.31.0; the registry docs (and the model's training data) say whatever came later or earlier. Agents then write arguments that were added after your pin, removed before it, or are computed-only and cannot be set at all. terraform validate catches it -- after the code is written. This server lets the agent check before it writes.

  • Pinned, not latest -- the source of truth is terraform providers schema -json run in your root module, with versions read from .terraform.lock.hcl.

  • Read-only, never inits -- it never runs terraform init (no downloads, no backend contact, no lock-file rewrites). An uninitialized directory gets an actionable error telling you what to run.

  • Cached per lock file -- dumps are cached in memory and on disk, keyed on the root path plus the lock file's bytes, so a provider upgrade invalidates the cache automatically. The AWS provider's schema is tens of MB; you pay for that dump once per lock-file change, not per question.

  • Small answers -- tf_get_schema renders one type as a compact indented outline with required / optional / optional+computed / computed (read-only), [deprecated], [sensitive] and [write_only] flags, instead of handing the model raw JSON.

  • Cross-platform -- macOS, Linux and Windows. Terraform is spawned directly (no shell) and its output is streamed, so there is no buffer ceiling.

Related MCP server: archview

Tools

Tool

What it does

tf_list_providers

Providers in the root module with their pinned versions and resource / data / ephemeral counts. Call this first.

tf_search_types

Find type names containing a substring (s3_bucket), per kind.

tf_get_schema

Every argument and nested block of one type at the pinned version, with mode and flags. Use before writing or editing a block.

tf_check_arguments

Validate dotted paths (["bucket", "versioning.enabled"]) and get ok, ok (block) (either with [deprecated]), READ-ONLY (computed), '<x>' is an attribute, not a block or UNKNOWN per path.

tf_summarize_plan

Summarize a saved plan (plan_file: binary from terraform plan -out, or plan JSON) or plan JSON text (plan_json, e.g. an HCP run's plan fetched by the official server). Deletes and replaces first, with the attribute that forces each replace; then updates (changed paths), creates, imports, moves, forgets, drift, deferred changes and outputs; Terraform's own Plan: counts; a destroy warning naming renames that need a moved block. Prints no values.

tf_module_interface

Variables (exact type expression, required/optional, default, [sensitive] / [not nullable] / [ephemeral], validation count), outputs and module calls of the root, a local module path, or an installed module by address (module.network, incl. downloaded registry/git modules). Flags module calls that are not installed or stale. No subprocess.

tf_state_addresses

Resource instance addresses in the current state (terraform state list), with a substring filter and id lookup.

tf_show_resource

One instance's attribute values from state (terraform show -json), with sensitive values redacted and a footer saying what was hidden and why.

tf_upgrade_impact

What breaks if a pinned provider moves to an exact version: the arguments, nested blocks, attribute reads and provider block arguments your configuration (root + installed modules) uses that are removed, read-only, retyped, newly required or deprecated in the target; version constraints that block it; confirmed by terraform validate on a temp copy.

Every tool takes an optional dir (the root module); kind is resource (default), data or ephemeral.

Division of authority with HashiCorp's official server. This server wins on argument validity for the version you pinned and on what this directory's plan, state and modules contain. The official server wins on usage docs, latest versions, public registry modules and HCP/TFE runs. For an HCP run's plan, get its plan id there (get_run_details), fetch the plan with get_plan_json_output(plan_id) and pass the JSON to tf_summarize_plan as plan_json (those tools need the official server's terraform toolset and TFE_TOKEN).

What is read-only, and what touches the network

  • Never written: your root module, its .terraform/, its lock file and its state. terraform init is never run in it.

  • State tools (tf_state_addresses, tf_show_resource) run terraform state list / terraform show -json, which never lock and never refresh. With a remote backend they read S3/GCS/HCP with the credentials the server inherited from its MCP client. Selecting a non-default workspace that does not exist would make Terraform create it (the s3 backend writes an empty state), so the server checks terraform workspace list first and refuses.

  • tf_upgrade_impact downloads the target provider version with terraform init in a throwaway temp dir into a plugin cache (TERRAFORM_CWD_MCP_PLUGIN_CACHE, else your TF_PLUGIN_CACHE_DIR, else <cache>/plugins), then runs terraform validate on a temp copy of your configuration whose .terraform/providers entries are links to the packages you already have. State and *.tfvars are never copied. Calls are serialized (the plugin cache is not safe for concurrent installs).

  • Redaction (tf_show_resource): Terraform's sensitive markers, plus any string equal to (or containing) a marked value anywhere in state, plus values under secret-like keys (password, api_token, client_secret, ... but not password_length or secret_arn), plus secret-shaped strings (private keys, JWTs, GitHub/GitLab/Slack/npm tokens; URL passwords are masked in place). There is deliberately no "show sensitive" switch. Unmarked derived values Terraform itself shows (e.g. content_md5 of a sensitive file) are printed.

  • Every terraform child gets CHECKPOINT_DISABLE=1, so no version check phones home.

Example tf_summarize_plan output (real plan, abridged):

plan (terraform 1.15.7, format 1.2): applyable, complete
totals: 1 delete, 5 replace, 1 update, 1 create, 0 read, 1 import, 1 move, 1 forget, 0 unchanged (terraform: 1 to import, 6 to add, 1 to change, 6 to destroy)
DELETE (1)
  - null_resource.gone (not in configuration)
REPLACE (5)
  -/+ local_sensitive_file.sf delete-then-create; forced by: content [sensitive]
  +/- random_string.cbd create-before-destroy; forced by: keepers
  ...
UPDATE (1)
  ~ terraform_data.cfg: input.version, output (known after apply)
WARNING: 6 object(s) will be destroyed (1 delete, 5 replace). 1 moved block(s) applied; none covers these.

Example tf_upgrade_impact output (real validate run):

upgrade hashicorp/random 2.3.1 -> 3.6.3 (major) for /work/infra
constraints: root pins 2.3.1 as local name rnd (change it to allow 3.6.3)
used types: resource random_password, random_id
affected arguments (2):
  random_password.p.number (main.tf:18): DEPRECATED in 3.6.3
  reads random_id.i.b64 (main.tf:36): REMOVED in 3.6.3
validate on a temp copy, 3.6.3 vs 2.3.1: 1 new error, 1 new warning, 1 warning resolved
  error main.tf:36: Unsupported attribute - This object has no argument, nested block, or exported attribute named "b64".
  warning main.tf:18 random_password.p: Attribute Deprecated - **NOTE**: This is deprecated, use `numeric` instead.
verdict: BREAKING (1 error after upgrade)

Example tf_get_schema output:

resource random_password (registry.terraform.io/hashicorp/random 3.9.1)
  bcrypt_hash: string computed (read-only) [sensitive] - A bcrypt hash of the generated random password. ...
  keepers: ["map","string"] optional - Arbitrary map of values that, when changed, will trigger recreation of resource. ...
  length: number required - The length of the password desired. ...
  number: bool optional+computed [deprecated] - Include numeric characters in the result. ...
  result: string computed (read-only) [sensitive] - The generated random password.

Quick start

1. Initialize the root module once (you, not the server):

terraform init -backend=false

-backend=false is enough: the schema only needs the providers, not state.

2. Add the server. Claude Code, from the root module:

# macOS / Linux / WSL
claude mcp add terraform-cwd -- npx -y @yawlabs/terraform-cwd-mcp@latest

# Windows
claude mcp add terraform-cwd -- cmd /c npx -y @yawlabs/terraform-cwd-mcp@latest

Or add it to .mcp.json in the root module (or anywhere, and set TERRAFORM_CWD_MCP_DIR):

macOS / Linux / WSL:

{
  "mcpServers": {
    "terraform-cwd": {
      "command": "npx",
      "args": ["-y", "@yawlabs/terraform-cwd-mcp@latest"]
    }
  }
}

Windows:

{
  "mcpServers": {
    "terraform-cwd": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@yawlabs/terraform-cwd-mcp@latest"]
    }
  }
}

Why the extra step on Windows? Since Node 20, child_process.spawn cannot directly execute .cmd files (that's what npx is on Windows). Wrapping with cmd /c is the standard workaround.

3. Restart your MCP client and ask, for example: "Add a versioned S3 bucket -- check the arguments against our pinned AWS provider first."

Tell your agent to use it

Agents use the server reliably when the project tells them to. Paste this into the root module's CLAUDE.md (or AGENTS.md):

## Terraform provider schemas

This repo pins provider versions in `.terraform.lock.hcl`; registry docs and your
training data describe other versions. Use the terraform-cwd MCP server:

- Call `tf_list_providers` once per session to see the pinned versions.
- Before writing or editing any `resource`, `data` or `ephemeral` block, call
  `tf_get_schema` for that type.
- Call `tf_check_arguments` with every argument path you set (dotted for nested
  blocks, e.g. `versioning.enabled`). Never use an argument it reports as
  `UNKNOWN` or `READ-ONLY (computed)`; replace a `[deprecated]` one if the
  schema offers an alternative.
- Before calling a module, read its inputs with `tf_module_interface`.
- After `terraform plan -out=tfplan`, review it with `tf_summarize_plan`
  (plan_file: tfplan) and call out every DELETE and REPLACE.
- Before bumping a provider version, run `tf_upgrade_impact`.

Pairs well with

HashiCorp's terraform-mcp-server

hashicorp/terraform-mcp-server answers registry and HCP questions; this server answers what is true in your working directory. Run both -- they do not overlap, and when they disagree the table says who wins:

Question

Authority

Is argument X valid for the provider version I have pinned?

terraform-cwd-mcp

Which arguments I use break if I upgrade to vN?

terraform-cwd-mcp (tf_upgrade_impact)

What does this saved plan, this state, or this local / installed module contain?

terraform-cwd-mcp

How is resource X meant to be used? What do the docs and examples say?

terraform-mcp-server

What is the latest provider or module version?

terraform-mcp-server

Which public registry module should I use?

terraform-mcp-server

HCP Terraform / TFE workspaces and runs

terraform-mcp-server

An HCP run's plan

terraform-mcp-server fetches it (get_run_details -> plan id -> get_plan_json_output(plan_id)); tf_summarize_plan summarizes it (plan_json)

The official server starts with only its registry toolset. The HCP / TFE rows need it started with --toolsets=registry,terraform (or all) and TFE_TOKEN. Its docs search tool is search_provider_docs from v1.3.1 on (search_providers before; a BREAKING rename), which matters if you allowlist tools by name.

Yaw Mode skills

Yaw Terminal's Yaw Mode ships four skills that drive both servers, degrade gracefully when either is missing, and stop at terraform plan (they never apply or destroy):

  • /yaw-tf -- everyday write / edit / fix: check every argument against the pinned schema, then fmt, validate, plan and summarize; hands off to the three below.

  • /yaw-tf-refactor -- renames, module moves and imports with moved / import / removed blocks, done only when the plan shows zero destroys and replaces.

  • /yaw-tf-plan-review -- go / no-go punch list for a local saved plan or an HCP run: destroys first, then checkov / trivy and IAM, network and encryption hot spots.

  • /yaw-tf-upgrade -- provider bumps: latest version, tf_upgrade_impact against the arguments you actually use, the upgrade guide, then edits, re-pin, validate and plan.

Configuration

All optional.

Env var

Default

Purpose

TERRAFORM_CWD_MCP_DIR

the server's working directory

Root module used when a tool call passes no dir.

TERRAFORM_CWD_MCP_CACHE

~/.cache/terraform-cwd-mcp

Where schema dumps are cached (<key>.json). Safe to delete at any time.

TERRAFORM_CWD_MCP_BINARY

terraform

Binary to run, e.g. a full path, or tofu for OpenTofu (same providers schema -json output).

TERRAFORM_CWD_MCP_TIMEOUT_MS

300000

Kill any terraform command (schema dump, state read, target init, validate) after this long.

TERRAFORM_CWD_MCP_PLUGIN_CACHE

TF_PLUGIN_CACHE_DIR, else <cache>/plugins

Where tf_upgrade_impact keeps downloaded provider packages.

Runtime (oam or Node):

The terraform-cwd-mcp command prefers oam when it finds a usable one and otherwise runs on Node. It never serves on an oam older than 0.19.1.

Env var

Default

Purpose

TERRAFORM_CWD_MCP_RUNTIME

auto

auto: the newest oam at 0.19.1 or newer, else Node. oam: oam or exit with an error. node: always Node -- the escape hatch when a problem only shows up under oam.

OAM_BIN

(unset)

Path to the oam binary to use. Otherwise the launcher checks OAM_INSTALL_DIR, the installed locations (~/.oam/bin, and %LOCALAPPDATA%\oam\bin on Windows) and PATH, and takes the newest.

An outdated oam is fixed with oam self-update. Under Yaw MCP, which runs servers on oam by default, yaw-mcp set <namespace> runtime=node switches this server to Node. There is no --permission sandbox option: the server spawns terraform and reads whatever directory a call names, so there is nothing narrow to grant.

Requirements

  • Node.js 20+

  • Terraform (or OpenTofu) on PATH, recent enough to have terraform providers schema -json (0.12+; ephemeral resources need 1.10+)

  • An initialized root module (.terraform/ and .terraform.lock.hcl present) for every tool except tf_module_interface on the root or a local path, and tf_summarize_plan with plan JSON

  • State tools: the backend initialized (terraform init, not -backend=false) and its credentials in the server's environment

  • tf_upgrade_impact: registry access the first time a target version is requested (later runs for that version are offline)

  • .terraform/ at <dir>/.terraform: TF_DATA_DIR is not honoured

Contributing

git clone https://github.com/YawLabs/terraform-cwd-mcp.git
cd terraform-cwd-mcp
npm install
npm run lint       # Biome check
npm run lint:fix   # Auto-fix
npm run build      # tsup bundle + declarations
npm test           # Vitest (the integration test runs only when terraform is on PATH)
npm run typecheck  # oam check . when oam is installed, else tsc --noEmit
npm run check:oam-floor  # the oam floor agrees across the repo and matches the latest oam release

See CONTRIBUTING.md for the full workflow, including release process.

License

MIT

Follow @YawLabs on X

Available Tools

9 tools
tf_check_argumentsA
Read-onlyIdempotent

Validate argument / nested-block paths against the PINNED schema before writing them, e.g. ["bucket", "region", "versioning.enabled"]. Flags unknown, read-only and deprecated paths.

Inputs: arguments (required), type_name (required), dir, kind.

tf_get_schemaA
Read-onlyIdempotent

Exact arguments and nested blocks for one type at the PINNED provider version. Use BEFORE writing or editing any resource/data/ephemeral block; only arguments listed here exist. 'computed (read-only)' attributes cannot be set. kind: resource | data | ephemeral.

Inputs: type_name (required), dir, kind, max_depth, +1 more.

tf_list_providersA
Read-onlyIdempotent

List providers and their PINNED versions for a Terraform root module (default: cwd). Call this first so code targets the versions actually locked in .terraform.lock.hcl, not the latest release. Lists only the providers locked in THIS directory; it does not search the registry. For registry search, provider docs or the latest version, use the official terraform MCP server (search_provider_docs / get_latest_provider_version).

Inputs: dir.

tf_module_interfaceA
Read-onlyIdempotent

Variables (exact type expression, required/optional, default, sensitive/nullable/ephemeral, validation count), outputs and module calls of a module in THIS working directory: the root, a local module directory, or an installed module by address (module.network, resolved through .terraform/modules/modules.json, so downloaded registry/git modules work). Module calls are checked against what is installed. For public registry modules you have not installed, use the official terraform MCP server.

Inputs: dir, module, description_chars.

tf_search_typesA
Read-onlyIdempotent

Find resource / data source / ephemeral resource type names containing query (e.g. 's3_bucket') in the pinned providers. kind: resource | data | ephemeral.

Inputs: query (required), dir, kind, limit.

tf_show_resourceA
Read-onlyIdempotent

Show one resource instance's attribute values from the current Terraform state (terraform show -json). Read-only: never locks, never refreshes. Sensitive values are redacted: Terraform's own markers, plus values equal to a marked one, secret-like names and secret-shaped strings; a footer says what was hidden and why.

Inputs: address (required), dir, include_null, max_value_chars.

tf_state_addressesA
Read-onlyIdempotent

List resource instance addresses in the current Terraform state (terraform state list), optionally filtered. Read-only: never locks, never refreshes. With a remote backend this reads S3/GCS/HCP using the server's credentials; a non-default workspace that does not exist is refused (reading it would create it).

Inputs: id, dir, limit, filter.

tf_summarize_planA
Read-onlyIdempotent

Summarize a saved Terraform plan: deletes and replaces first (with the attribute that forces each replace), updates with changed paths, creates, imports, moves, forgets, drift and output changes, plus a destroy warning that names renames needing a moved block. Pass plan_file (binary from terraform plan -out, rendered with terraform show -json in dir, or a plan JSON file) or plan_json (e.g. from the official terraform MCP server's get_plan_json_output(plan_id) for an HCP run; get the plan id from its get_run_details). Prints no values: sensitive paths are truncated, import IDs omitted.

Inputs: dir, max_paths, plan_file, plan_json, +1 more.

tf_upgrade_impactA
Read-onlyIdempotent

What breaks if a pinned provider is upgraded (or downgraded) to an exact version: compares the pinned schema with the target's for the arguments, nested blocks and attribute reads this configuration uses (root and installed modules), checks version constraints, and confirms with terraform validate on a temp copy. Downloads the target provider from the registry into a cache (temp dirs only; never touches dir). For the latest version number or upgrade guides, use the official terraform MCP server.

Inputs: version (required), provider (required), dir, validate, +1 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A4.2/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool targets a distinct action on a clearly bounded resource: listing state addresses vs. showing a resource's attributes, listing pinned providers vs. searching type names vs. fetching a schema vs. validating argument paths, plus plan summary, module interface, and upgrade impact. Descriptions make the boundaries explicit, so an agent should not misselect.

    Naming Consistency4/5

    All names share the tf_ prefix and snake_case, giving a predictable namespace. Most follow verb_noun (tf_list_providers, tf_get_schema), but a few use noun-oriented phrasing (tf_state_addresses, tf_module_interface, tf_upgrade_impact), a minor deviation rather than a real inconsistency.

    Tool Count5/5

    Nine tools is well-scoped for a read-only, cwd-focused Terraform analysis server. Every tool has a clear niche, with no redundant wrappers or filler.

    Completeness4/5

    Coverage is strong for a read-only analysis surface: state inspection, pinned provider/type schema, argument validation, plan summarization, module interfaces, and upgrade impact. Minor gaps exist (e.g. no standalone workspace listing or outputs-only view), but the design intentionally defers mutation/execution and registry lookups to the official terraform MCP server.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

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