Openapi Builder

An MCP server that turns any OpenAPI (or Swagger) spec URL into a hosted MCP server on the Agentic Tools Platform, and hands the caller back the ready-to-use MCP gateway URL.

Under the hood it drives the platform's experimental /v1/openapi-servers/* endpoints:

Tool	Endpoint / behavior
analyze_openapi_spec_url	Local: GET spec URL, summarize operations by tag
pick_openapi_endpoints	Local: list all operations + MCP App UI (inline picker in supporting clients)
search_openapi_operations	Local: keyword search over paths/tags/opIds
validate_openapi_tool_filter	Local: unknown keys, regex check for paths
export_trimmed_openapi_spec	Shrink (operation keys, tags, path, prefix, related)
reupload_openapi_spec_text	Reupload spec body without a public URL
build_tool_filter_for_tags	Build {"include_tags":[...]} for tool_filter
create_mcp_from_openapi_url	POST /v1/openapi-servers + SAS PUT + poll
list_openapi_mcp_servers	GET /v1/openapi-servers
get_openapi_mcp_server	GET /v1/openapi-servers/{id}
update_openapi_mcp_server	PATCH /v1/openapi-servers/{id}
delete_openapi_mcp_server	DELETE /v1/openapi-servers/{id}
refresh_openapi_mcp_server	POST /v1/openapi-servers/{id}/refresh
list_openapi_mcp_server_tools	GET /v1/openapi-servers/{id}/tools
reupload_openapi_spec_from_url	PATCH ?reupload=true + SAS PUT + poll

How the spec-URL workflow works

user -> MCP client (e.g. Agent Studio)
              |   tool call: create_mcp_from_openapi_url(spec_url, name, ...)
              v
   openapi-mcp-builder
     1. GET  spec_url                         # validate JSON / YAML
     2. POST /v1/openapi-servers              # metadata only -> spec_upload_url
     3. PUT  <spec_upload_url>                # Azure Blob SAS, x-ms-blob-type: BlockBlob
     4. GET  /v1/openapi-servers/{id}  (poll) # until parse_status terminal
     5. return { gateway_url, tool_count, parse_status, ... }

The gateway_url in the final response is the MCP URL the agent connects to.

Large specs (operation limits)

The executor enforces a maximum number of OpenAPI operations per server (e.g. 50). A tool_filter alone may not help if the platform still counts all operations in the uploaded file before the filter is applied. In that case you must use a physically smaller spec (fewer path operations in the document):

1. Run export_trimmed_openapi_spec on the spec_url with include_operation_keys (exact GET /path list), include_tags, and/or path_substrings (literal substrings in the path, e.g. dailyLog for ProjectSight). This returns a trimmed OpenAPI JSON string and trimmed_operation_count.
2. Call reupload_openapi_spec_text with that JSON as spec_text on the existing server (no Gist or extra hosting required).

For filters that the platform does apply to the live parse, use tool_filter (include_tags, include_paths as regex such as .*[Dd]ailyLog.* — not glob patterns like *daily*, which are invalid regex). Use analyze_openapi_spec_url per-tag counts and set PLATFORM_MAX_OPENAPI_OPERATIONS / MAX_TRIMMED_SPEC_EXPORT_BYTES in .env for hints and export size.

Optional: set CREATE_PREFLIGHT_ENFORCE=true so create_mcp_from_openapi_url stops before register when the downloaded spec is over the operation cap and you did not pass tool_filter or acknowledge_openapi_operation_limit=true (see .env.example).

For agent authors (Studio / Cursor)

1. Always run analyze_openapi_spec_url first. If exceeds_platform_limit is true, do not call create_mcp_from_openapi_url until you have a plan.
2. tool_filter controls which operations become MCP tools; it may not reduce the operation count the executor sees in the uploaded file. To pass a hard cap, use export_trimmed_openapi_spec (smaller document) + reupload_openapi_spec_text.
3. Use search_openapi_operations to map a user phrase (e.g. “daily log”) to real paths and tags, or call pick_openapi_endpoints with the same spec_url when the client supports MCP Apps (inline UI; see MCP App picker). Alternatively use the standalone endpoint picker (build and serve at /endpoint-picker/; see that README) to copy include_operation_keys for export_trimmed_openapi_spec. include_paths in tool_filter must be regex, not globs; run validate_openapi_tool_filter with strict=true when you need to fail on unknown keys or glob-like path patterns.
4. analyze_openapi_spec_url reports external_ref_* when the document uses non-#/ $refs (file or URL). Bundle to a single file when possible. Invalid field names (e.g. path_pattern) are a common failure mode — see docs/PLATFORM.md for open questions to confirm with the platform team.

MCP App (inline endpoint picker)

The tool pick_openapi_endpoints is registered with FastMCP AppConfig pointing at a ui:// HTML resource. MCP clients that implement the MCP Apps / UI extension (for example recent VS Code or Claude builds) can render the picker inside the chat, receive the operation list from the tool result, and proxy export_trimmed_openapi_spec when the user runs export from the UI.

• Build the bundle (writes into src/openapi_mcp_builder/static/endpoint_picker_mcp.html):

  cd apps/endpoint-picker-mcp
  npm install
  npm run build
  

  From the repo root you can also run npm run build:endpoint-picker-mcp (see root package.json).

• Agent Studio must explicitly support MCP Apps and negotiate io.modelcontextprotocol/ui; if it does not, pick_openapi_endpoints still returns the same JSON as a normal tool (no iframe).

• Manual check: connect this server in an MCP Apps–capable client, invoke pick_openapi_endpoints with a public spec_url, confirm the table appears, select operations, and run export from the UI.

Authentication (OAuth provider OBO)

When deployed inside Agent Studio, every tool call carries the signed-in user's on-behalf-of TID token as Authorization: Bearer <token>. openapi-mcp-builder extracts that header and forwards it to the Agentic AI Platform, so every action (create, list, patch, delete) runs as the end user — no static service credentials required.

Three modes are supported, evaluated per request:

1. OBO passthrough — use the caller's Authorization header (production).
2. Static token — TOOLS_API_ACCESS_TOKEN env var (local dev / stdio).
3. Client credentials — TOOLS_API_CLIENT_ID + TOOLS_API_CLIENT_SECRET mint a token against TOOLS_API_TOKEN_URL (service-to-service).

The generated OpenAPI MCP server itself defaults to auth_config.provider = "passthrough", so the upstream REST API receives the same end-user token at tool-invocation time unless you override it.

Install

python -m venv .venv
# Windows PowerShell
.venv\Scripts\Activate.ps1
# macOS / Linux
source .venv/bin/activate

pip install -e ".[dev]"
cp .env.example .env   # then edit

Requires Python 3.10+.

Run

Stdio (Claude Desktop, local MCP clients)

MCP_TRANSPORT=stdio openapi-mcp-builder
# or
MCP_TRANSPORT=stdio python -m openapi_mcp_builder

Example Claude Desktop / Cursor MCP config:

{
  "mcpServers": {
    "openapi-mcp-builder": {
      "command": "openapi-mcp-builder",
      "env": {
        "MCP_TRANSPORT": "stdio",
        "TOOLS_API_ENV": "dev",
        "TOOLS_API_ACCESS_TOKEN": "eyJhbGciOi..."
      }
    }
  }
}

HTTP (Agent Studio, remote MCP hosts) — default

openapi-mcp-builder   # listens on 0.0.0.0:8754 with MCP_TRANSPORT=http

Agent Studio should be configured to send Authorization: Bearer <OBO-token> on every MCP request. Leave TOOLS_API_ACCESS_TOKEN empty so the server requires the OBO header.

Environment selector

TOOLS_API_ENV picks the Tools API base URL:

TOOLS_API_ENV	Base URL
dev (default)	https://tools.dev.Build Flows-ai.com
stage	https://tools.stage.Build Flows-ai.com
prod	https://tools.ai.Build Flows.com

Set TOOLS_API_TOOLS_API_BASE_URL to override explicitly.

Example call

// tool: create_mcp_from_openapi_url
{
  "spec_url": "https://api.redocly.com/registry/bundle/hcss-64o/identity/v1/openapi.yaml?branch=main",
  "name": "hcss-identity",
  "description": "HCSS Identity API (get bearer tokens)",
  "tags": ["hcss", "identity"],
  "auth_provider": "passthrough"
}

Response:

{
  "ok": true,
  "id": "srv_01HQZ...",
  "name": "hcss-identity",
  "parse_status": "success",
  "tool_count": 3,
  "gateway_url": "https://tools.dev.Build Flows-ai.com/openapi/hcss-identity",
  "mcp_server_url": "https://tools.dev.Build Flows-ai.com/openapi/hcss-identity",
  "path": "/openapi/hcss-identity",
  "spec_bytes": 48321,
  "spec_content_type": "application/yaml",
  "waited_seconds": 4.12
}

Point your agent at mcp_server_url and you're done.

Project layout

openapi-mcp/
├── pyproject.toml
├── README.md
├── .env.example
├── src/openapi_mcp_builder/
│   ├── __init__.py
│   ├── __main__.py        # CLI entrypoint / transport selection
│   ├── server.py          # FastMCP tools
│   ├── workflow.py        # download -> register -> upload -> poll
│   ├── client.py          # Async HTTP client for the Tools API
│   ├── auth.py            # OBO passthrough + fallbacks
│   ├── config.py          # Pydantic Settings
│   ├── models.py          # Request / response schemas
│   ├── operation_key.py  # Canonical operation_key for trim
│   ├── spec_external_refs.py
│   ├── spec_inspect.py   # Per-tag / path operation summaries (tool_filter)
│   ├── spec_ref_prune.py # Prune components to $ref-closure after trim
│   ├── spec_trim.py      # Shrink paths in a spec for reupload
│   ├── static_resources.py  # MCP App HTML loader (ui:// endpoint picker)
│   ├── static/           # bundled endpoint_picker_mcp.html (built by Vite)
│   └── tool_filter_validate.py
├── docs/
│   └── PLATFORM.md     # Open questions for the platform (op cap vs filter)
├── apps/
│   ├── endpoint-picker/      # static UI: paste spec → include_operation_keys JSON
│   └── endpoint-picker-mcp/  # Vite MCP App bundle for inline picker (npm run build)
└── tests/
    ├── conftest.py
    ├── test_auth.py
    ├── test_spec_inspect.py
    ├── test_spec_external_refs.py
    ├── test_spec_ref_prune.py
    ├── test_spec_trim.py
    ├── test_tool_filter_validate.py
    ├── test_endpoint_picker.py  # pick_openapi_endpoints + MCP HTML smoke
    └── test_workflow.py   # respx-mocked end-to-end flow

Tests

pytest

License

MIT