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8 clients · secrets stay placeholders

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{
  "mcpServers": {
    "terraform-ingest": {
      "command": "uvx",
      "args": [
        "terraform-ingest==0.1.27"
      ]
    }
  }
}

claude mcp add terraform-ingest -- uvx terraform-ingest==0.1.27

[mcp_servers.terraform-ingest]
command = "uvx"
args = ["terraform-ingest==0.1.27"]

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "terraform-ingest": {
      "type": "local",
      "command": [
        "uvx",
        "terraform-ingest==0.1.27"
      ],
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "terraform-ingest": {
      "command": "uvx",
      "args": [
        "terraform-ingest==0.1.27"
      ]
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=terraform-ingest&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJ0ZXJyYWZvcm0taW5nZXN0PT0wLjEuMjciXX0%3D"
}

{
  "servers": {
    "terraform-ingest": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "terraform-ingest==0.1.27"
      ]
    }
  }
}

{
  "mcpServers": {
    "terraform-ingest": {
      "command": "uvx",
      "args": [
        "terraform-ingest==0.1.27"
      ]
    }
  }
}

extensions:
  "terraform-ingest":
    enabled: true
    name: "terraform-ingest"
    type: stdio
    cmd: "uvx"
    args:
      - "terraform-ingest==0.1.27"
    timeout: 300

This is a local package: the command runs on your machine.

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

protocoln/a · weight 25

n/a
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygienen/a · weight 30

n/a
tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool list unknown

dependencies100 · weight 15

pass
deps.known_vulnsno known advisory in 84 resolved packages
pass
deps.mcp_sdk_versionmcp 2.2.0, no known advisory
pass
deps.resolvable[email protected] resolved: 84 packages

Tool list unknown · checked 2026-10-20 12:13 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 56 / 100

no-repository

provenance35

livenessn/a

freshness65

hygiene80

~liveness-unmeasured ~updated-155d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] PyPI83 dependencies, resolved · MCP SDK mcp 2.2.0 · advisories checked 2026-10-19

No known advisory affects this dependency graph.

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

package	registry	version	runtime	secrets
`terraform-ingest`	pypi	0.1.27	–

Tools (0)

No tools observed. Local packages are never executed by the registry.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.zloeber/terraform-ingest",
  "title": "Terraform Ingest MCP",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-10-17/server.schema.json",
  "version": "0.1.27",
  "packages": [
    {
      "version": "0.1.27",
      "transport": {
        "type": "stdio"
      },
      "identifier": "terraform-ingest",
      "registryType": "pypi"
    }
  ],
  "description": "Ingest and analyze Terraform modules from multiple repositories for AI RAG systems"
}