mcp-api-translator

An MCP server that generates MCP servers. Give it an API definition — OpenAPI 3.0/3.1 or a Postman collection — and it scaffolds a complete, runnable, ownable TypeScript or Python MCP server for that API.

Curate a spec, aggregate a second one, run the generated server, and let an agent call it

Above: curating Firecrawl's 20 operations down to 6, appending the Gmail API to the same server, then an agent calling the self-hosted result. Counts, tool names and paths come from real runs against the published Firecrawl and Gmail descriptions; the API responses are illustrative — the recording runs against a local stub, not live Firecrawl or Gmail accounts.

Why this and not a 1:1 generator

Turning an OpenAPI spec into MCP "tool stubs" is not novel — FastMCP's from_openapi, Speakeasy/Gram, and several openapi-mcp-generator projects already do the mechanical part. A naive endpoint→tool generator has no real advantage. This project focuses on the parts those tools skip:

1. Curation, not just generation. A 200-endpoint API naively becomes 200 tools, which wrecks a model's tool-selection accuracy and blows out context. analyze_spec previews the tool list before anything is written, every command takes includeTags / methods / pathGlob / excludeOperations, and you get a warning when a server grows past 40 tools.

2. Aggregation via append. extend_mcp_server adds another API's tools to an existing project, so you can build one MCP server spanning Firecrawl + Gmail + your internal API. Credentials stay separate: each API also reads namespaced env vars derived from its title.

3. An artifact you own. Output is a normal project, not a hosted black box — readable per-tool files, env-based auth, a Dockerfile, and a server.json plus client snippets for publishing to the official MCP Registry.

If you only need throwaway, in-memory exposure of one API and don't care about owning the code, FastMCP's runtime mode may suit you better — that's a deliberate non-goal here.

Install

No install step. npx fetches and runs the latest published version — cross-platform, Node 20+.

Claude Code

Claude Code does not read claude_desktop_config.json — it keeps its own MCP config:

claude mcp add api-translator -- npx -y mcp-api-translator

That registers it at local scope. Use -s user for all your projects, or commit a project-scoped .mcp.json to share it. Verify with claude mcp list.

Claude Desktop

Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%\Claude\claude_desktop_config.json):

{
  "mcpServers": {
    "api-translator": {
      "command": "npx",
      "args": ["-y", "mcp-api-translator"]
    }
  }
}

{
  "mcpServers": {
    "api-translator": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "ghcr.io/krishgok/mcp-api-translator:latest"]
    }
  }
}

MCP config is read at startup, so restart your client — quit and reopen Claude Desktop, Cursor, …, or start a new session in Claude Code.

The four tools

All spec inputs accept inline text (spec) or a local path (specPath), JSON or YAML.

Usage

You don't call the tools by hand — you ask your agent, and it drives them.

1. Preview, then curate. See what a spec becomes before writing anything:

"Analyze ./petstore.yaml and show me the proposed tools." "Only the GET endpoints under /pets."

analyze_spec({ specPath: "./petstore.yaml" });
// → proposed tool list, auth scheme, and the env vars the server will need

analyze_spec({ specPath: "./petstore.yaml", methods: ["GET"], pathGlob: "/pets/**" });
// also: includeTags: ["pets"], excludeOperations: ["deletePet"]

2. Generate, with the same filters plus an output directory:

generate_mcp_server({ specPath: "./petstore.yaml", outputDir: "./petstore-mcp" });
// options: language: "python", transport: "http", auth: {...}, force: true

3. Aggregate — add more APIs to the same server:

// any second API — the sources don't have to share a format or a vendor
extend_mcp_server({
  projectDir: "./petstore-mcp",
  specPath: "./billing.postman.json",
  includeTags: ["invoices"],
});
// idempotent; hand-edited tool files are preserved

Aggregated APIs don't share credentials: each also reads namespaced env vars (<NAMESPACE>_API_BASE_URL, <NAMESPACE>_API_KEY, … — namespace derived from the API title) before falling back to the bare ones. The extend summary and .env.example list the exact names.

4. Run it. The output is a normal project you own:

cd petstore-mcp && npm install && npm run build
cp .env.example .env   # set API_BASE_URL + credentials (never embedded in code)
npm start

Register it with your client using the generated client-config.md, and your agent can call the APIs directly.

Full walkthrough with sample outputs and troubleshooting: docs/usage-workflow.md.

Generate, or serve

• Generate ownable code when you want a project you can hand-edit, self-host, and own — in TypeScript (default) or Python (language: "python").

• Serve a live runtime proxy when you just want an API exposed to an agent now, with no generated files to build or maintain:

  bash

  mcp-api-translator serve --spec ./api.yaml
  mcp-api-translator serve --spec ./a.yaml --spec ./b.yaml --methods GET,POST   # aggregate
  

serve runs the same request plan and env-based auth the generator emits, so behavior matches generated output exactly — it just skips the codegen step. It speaks stdio by default, or stateless Streamable HTTP with --transport http --port 3000. Logs are structured JSON lines on stderr in containers, readable text on a TTY (LOG_LEVEL, LOG_FORMAT).

Documentation

Known limits at a glance: OpenAPI 3.0/3.1 and Postman v2.1 (Swagger 2.0 best-effort), no GraphQL/gRPC; no interactive OAuth consent flows; no upstream streaming or auto-pagination; output quality tracks spec quality. Details and the security model: docs/design.md.

Development

npm install
npm test          # unit + integration (parsers, curation, emit, append)
npm run typecheck
npm run build
npm run e2e       # generate a sample project from the fixtures into build/e2e-out

Contributions welcome — see CONTRIBUTING.md. All commits must be signed off under the Developer Certificate of Origin (git commit -s).

License

mcp-api-translator is dual-licensed — © 2026 krishgok. Full details in LICENSING.md.

• Open source: GNU AGPL-3.0-or-later. Running a modified version as a network service requires offering that version's complete source to its users.
• Commercial: a separate license is available for embedding in proprietary products without AGPL obligations.
• Your generated output is yours. Projects produced by this tool are covered by a generated-output exception and are not subject to the AGPL.

Redistributions must retain LICENSE and NOTICE. The licenses do not grant the right to use the "mcp-api-translator" name to endorse or promote forked or derivative works without prior written permission.