Text-to-GraphQL

Transform natural language queries into GraphQL queries using an AI agent. Provides schema management, query validation, execution, and history tracking.

What does this entry provide?

Text-to-GraphQL is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 100/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Text-to-GraphQL to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Docker MCP Registry
Quality: 100/100
Install method: docker
Repo: Registry only
Repo updated: Oct 27, 2026

Install command

docker run -i --rm mcp/text-to-graphql

Install method: docker

Review the upstream source before running this command.

GitHub project Homepage

Quality

100

Repo stars

Repo updated

Unknown

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.

MCP manifest

{
  "raw": "name: text-to-graphql\nimage: mcp/text-to-graphql\ntype: server\nmeta:\n  category: devops\n  tags:\n    - graphql\n    - ai\n    - natural-language\n    - api\n    - query-generation\nabout:\n  title: Text-to-GraphQL\n  description: Transform natural language queries into GraphQL queries using an AI agent. Provides schema management, query validation, execution, and history tracking.\n  icon: https://upload.wikimedia.org/wikipedia/commons/1/17/GraphQL_Logo.svg\nsource:\n  project: https://github.com/Arize-ai/text-to-graphql-mcp\n  branch: main\n  commit: 69669c1bc00b3f1a5c5af3ff0265778214b10486\n  dockerfile: Dockerfile\nconfig:\n  description: Configure API keys and model settings for text-to-graphql\n  secrets:\n    - name: text-to-graphql.openai_api_key\n      env: OPENAI_API_KEY\n      example: sk-proj-xxx\n      description: OpenAI API key for LLM operations\n    - name: text-to-graphql.graphql_endpoint\n      env: GRAPHQL_ENDPOINT\n      example: https://your-graphql-api.com/graphql\n      description: GraphQL API endpoint URL\n    - name: text-to-graphql.graphql_api_key\n      env: GRAPHQL_API_KEY\n      example: your_api_key_here\n      description: API key for your GraphQL service\n  parameters:\n    type: object\n    properties:\n      graphql_auth_type:\n        type: string\n        enum: [\"bearer\", \"apikey\", \"direct\"]\n        default: bearer\n        description: Authentication method for GraphQL API\n      model_name:\n        type: string\n        default: gpt-4o\n        description: OpenAI model to use\n      model_temperature:\n        type: number\n        default: 0\n        description: Model temperature for responses\n",
  "path": "servers/text-to-graphql/server.yaml"
}

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