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\n\n

\n \"npm\n \"97\n \"stdio\n \"Multi-workspace\"\n \"Node\n

\n\n---\n\n## What this gives your AI\n\nMost \"AI + API client\" integrations stop at autocompletion. This goes much\nfurther. When you wire `@apicircle/mcp-server` into Claude Desktop, Claude\nCode, ChatGPT, Cursor, Codex, Copilot, Continue, Cline, Zed, Windsurf — any\nMCP-compatible client — your assistant gains the ability to:\n\n- **Read your workspace.** Browse requests, folders, environments, plans,\n and mock servers across **multiple workspaces** on the same machine.\n- **Author requests.** Create, rename, move, and delete requests / folders /\n environments / assertions with prompt-driven, LLM-shaped JSON tools.\n- **Import specs.** Drop in an OpenAPI / Swagger / Postman / Insomnia / HAR /\n cURL file and the assistant turns it into a typed collection.\n- **Generate code.** Emit working clients in **cURL, fetch, axios, Python\n requests, Go, and Rust** for any request.\n- **Extract from your codebase.** Scan an Express, FastAPI, NestJS, or\n Spring project and propose a request collection that mirrors the routes.\n- **Mock APIs.** Boot a real local mock server from an OpenAPI spec —\n start, stop, and tear down — straight from the chat.\n- **Run + replay history.** List history runs, replay them, purge old ones.\n\nAll without you leaving the conversation.\n\n## Install\n\n```bash\n# The common case — install globally and wire as a stdio MCP server\nnpm install -g @apicircle/mcp-server\n\n# Or as a library, when you're embedding the host in your own product\nnpm install @apicircle/mcp-server\n```\n\n## Quick start\n\n```bash\n# Multi-workspace mode (default) — exposes every workspace on this machine\napicircle-mcp\n\n# Single-workspace mode — point at a folder with a workspace.json\n# (CI, a git-cloned workspace repo, etc.)\napicircle-mcp --workspace /path/to/checkout-repo\n\n# Diagnostics — handled in-process, no MCP handshake involved\napicircle-mcp --version # prints the package version\napicircle-mcp --help # prints the usage block\n```\n\nThe server speaks JSON-RPC on stdin/stdout (logs to stderr). Plug it into\nyour AI client per the\n[Connect your AI client](https://github.com/apicircle/studio/blob/main/docs/connect-your-ai-client.md)\nguide, or copy/paste the snippet generated by the desktop app's\n**MCP > Connection** panel. It is the single setup-and-status surface: the\nworkspace-mirror status and Refresh action stay above the \"Set up your AI\nclient\" block.\n\n## Wiring it into an AI client\n\n
\nClaude Desktop\n\nAdd to `claude_desktop_config.json`:\n\n```json\n{\n \"mcpServers\": {\n \"apicircle\": {\n \"command\": \"apicircle-mcp\"\n }\n }\n}\n```\n\n
\n\n
\nCursor / Codex / any stdio MCP client\n\nSame shape — a single `command` entry pointing at the `apicircle-mcp` binary.\nUse `--workspace ` to scope to one workspace.\n\n
\n\n## How the server picks a workspace\n\n`apicircle-mcp` auto-detects the directory passed via `--workspace `\n(or `APICIRCLE_WORKSPACE`):\n\n| Contents of the directory | Mode |\n| ------------------------- | ----------------------------------------------------------------------------------------------------------- |\n| `registry.json` present | **Multi-workspace.** Loads the registry, binds the active workspace, exposes the rest via `workspace.list`. |\n| `workspace.json` only | **Single-workspace.** Legacy boot for CI / git-cloned repos. |\n| No flag at all | Falls back to the current working directory. |\n\nIn multi-workspace mode the assistant gets two extra surfaces:\n\n- **`workspace.list`** — returns every workspace + per-workspace counts\n (requests, folders, environments, mocks, plans) + which is active. The\n response includes a `hint` field the AI can surface to the user when\n disambiguating between workspaces.\n- **`workspace.read` ambiguous envelope** — when called with no\n `workspaceId` and more than one workspace exists, the response is a\n structured `{ kind: 'multiple-workspaces', activeWorkspaceId, workspaceCount, workspaces, hint }`\n so the AI can clarify before drilling in.\n\n```json\n{\n \"kind\": \"multiple-workspaces\",\n \"activeWorkspaceId\": \"ws-a\",\n \"workspaceCount\": 2,\n \"workspaces\": [\n { \"id\": \"ws-a\", \"name\": \"Petstore\", \"isActive\": true, \"counts\": { \"requests\": 12 } },\n { \"id\": \"ws-b\", \"name\": \"Internal API\", \"isActive\": false, \"counts\": { \"requests\": 47 } }\n ],\n \"hint\": \"Found 2 workspaces. Re-call workspace.read with workspaceId set to the desired entry...\"\n}\n```\n\nEntity tools (`request.read`, `environment.create`, `mock.start`, etc.) all\ndefault to the active workspace — multi-workspace scoping is opt-in per call.\n\n## The tool catalog (97 tools)\n\nThe full list lives at\n[`docs/mcp-tools-reference.md`](https://github.com/apicircle/studio/blob/main/docs/mcp-tools-reference.md).\nHighlights by category:\n\n| Category | What the AI can do |\n| --------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **Workspaces** | `workspace.list`, `workspace.read`, `workspace.write` (bulk + scoped by `workspaceId`) |\n| **Entity CRUD** | Requests, folders, environments, plans, assertions — full read / write surface |\n| **Folder exchange** | `folder.export_json`, `folder.import_json` — portable `apicircle.folder/v1` envelope with embedded JSON Schema + GraphQL dependencies; credentials redacted by default |\n| **Imports** | `import.curl`, `import.openapi`, `import.postman`, `import.insomnia`, `import.har` |\n| **Code generation** | `generate.code` for cURL, fetch, axios, Python requests, Go, Rust |\n| **Codebase analysis** | `codebase.extract_collection` — Express, FastAPI, NestJS, Spring |\n| **Prompt-driven authoring** | LLM-shaped JSON entry points for request / folder / environment / assertion / plan / mock creation |\n| **Mock servers** | `mock.create_from_openapi`, `mock.start`, `mock.stop`, `mock.delete`, … |\n| **History** | `history.list_runs`, `history.get_run`, `history.delete_run`, `history.purge_by_age` |\n\n## Embed it in your own product\n\nThe host is plain TypeScript; the transport is plain stdio.\n\n### Single workspace, embedded\n\n```ts\nimport {\n createMcpServer,\n FileBackedWorkspaceProvider,\n InProcessMockController,\n} from '@apicircle/mcp-server';\n\nconst host = createMcpServer({\n workspace: new FileBackedWorkspaceProvider('/path/to/workspace'),\n mock: new InProcessMockController(),\n});\nawait host.connect();\n```\n\n### Multi workspace, embedded\n\n```ts\nimport {\n createMcpServer,\n MultiWorkspaceProvider,\n InProcessMockController,\n} from '@apicircle/mcp-server';\n\nconst workspaces = new MultiWorkspaceProvider('/path/to/workspaces-root');\nconst registry = await workspaces.init();\nconsole.error(`Booting against ${registry.workspaces.length} workspace(s)`);\n\nconst host = createMcpServer({\n workspace: workspaces.activeProvider(),\n workspaces, // backs `workspace.list`\n mock: new InProcessMockController(),\n});\nawait host.connect();\n```\n\n## Provider interfaces\n\nThe host is decoupled from where state lives — swap providers to swap backends.\n\n| Provider | Use when… |\n| ----------------------------- | ------------------------------------------------------------------------------------------- |\n| `InMemoryWorkspaceProvider` | Writing tests or programmatic embedding with ephemeral state. |\n| `FileBackedWorkspaceProvider` | CLI / headless use — advisory-locks the workspace file via `proper-lockfile`. |\n| `MultiWorkspaceProvider` | Registry-root-backed; implements the `Workspaces` interface that powers `workspace.list`. |\n| `SingleWorkspaceAdapter` | Wrap a single `WorkspaceProvider` so legacy single-dir hosts still answer `workspace.list`. |\n| `InProcessMockController` | Runs mocks directly via `@apicircle/mock-server-core` in-process. |\n\nThe Electron desktop app supplies its own IPC-backed providers so the\nrenderer-side store stays the source of truth.\n\n## Use cases\n\n- **AI-pair-programming over your APIs.** \"Add an endpoint to delete a pet,\n generate a Go client, and write a smoke test.\" — done in one chat.\n- **Onboard a new dev** by handing them an MCP-enabled assistant pre-wired\n to your team's workspace.\n- **Document drift detection.** Have the AI scan your codebase, diff against\n the workspace, propose a PR.\n- **Spec-driven mocking.** Drop an OpenAPI file in chat; ask the AI to spin\n up a mock; iterate on the frontend without touching the spec again.\n- **CI automation.** Use the same MCP host as a headless executor for\n scripted, AI-authored regression suites.\n\n## Where it fits\n\n```\n@apicircle/shared (types + MCP_TOOL_NAMES catalog)\n└── @apicircle/core (the engine that handles each tool call)\n └── @apicircle/mcp-server ◀── you are here\n └── @apicircle/cli (re-exports as `apicircle mcp`)\n```\n\n## Learn more\n\n- **Full tool catalog**: \n- **Connect your AI client**: \n- **Platform architecture**: \n\n## License\n\nReleased under the **API Circle Studio License** — a custom source-available license, not an OSI-approved open-source license. Free for personal, educational, and non-commercial use, plus a 30-day commercial evaluation period; ongoing commercial use requires a separate license. See [LICENSE](./LICENSE) for the full terms, or contact **apicircle365@gmail.com** for commercial licensing.\n","readmeFilename":"README.md"}