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Add MCP Integration Tests#328

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dhruv0811 merged 17 commits intomainfrom
mcp-integration-tests
Mar 3, 2026
Merged

Add MCP Integration Tests#328
dhruv0811 merged 17 commits intomainfrom
mcp-integration-tests

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@dhruv0811 dhruv0811 commented Feb 14, 2026

Summary

Adds MCP integration tests covering the core DatabricksMCPClient, OpenAI wrappers (McpServerToolkit + McpServer), and LangChain wrappers (DatabricksMCPServer + DatabricksMultiServerMCPClient). Tests validate against a live Databricks MCP server across UC Functions, Vector Search, and Genie.

64 integration tests (21 core + 25 OpenAI + 18 LangChain), gated behind RUN_MCP_INTEGRATION_TESTS=1.

What's tested

  • Tool listing and execution for UC Functions, Vector Search, and Genie
  • Schema-level listing (UC + VS)
  • Multi-server client with UC + VS servers loaded together
  • PAT and OAuth-M2M auth paths
  • get_databricks_resources() normalization and type correctness
  • handle_tool_error, timeout kwargs pass-through (LangChain)
  • MLflow tracing, timeout defaults/override (OpenAI Agents)
  • Auth provider freshness per request (LangChain factory)
  • Error paths: nonexistent function, nonexistent tool name, wrong arguments — across all 3 layers

Test plan

dhruv0811 and others added 14 commits February 13, 2026 17:13
…pers

Add ~41 integration tests covering live MCP connections that were previously
untested (only unit tests with mocked responses existed). Tests validate:

- DatabricksMCPClient list_tools/call_tool against real UC function endpoint
- DatabricksOAuthClientProvider with PAT and OAuth-M2M auth paths
- get_databricks_resources() and tool name normalization with live tool names
- McpServerToolkit (OpenAI SDK) init, get_tools, execute, name prefixing
- McpServer (OpenAI Agents SDK) context manager, list_tools, call_tool
- DatabricksMCPServer/DatabricksMultiServerMCPClient (LangChain) end-to-end
- handle_tool_error and timeout kwargs pass-through in LangChain wrapper

All tests gated behind RUN_MCP_INTEGRATION_TESTS=1 env var.
Session-scoped caching minimizes live API calls.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…xt manager

- test_mcp_resources.py: Use schema_mcp_client (schema-level URL) for
  get_databricks_resources() tests — single-function URL doesn't match
  the MCP_URL_PATTERNS regex (expects /catalog/schema, not /catalog/schema/fn)
- test_mcp_resources.py: Remove unused DatabricksMCPClient import (ruff F401)
- test_langchain_mcp.py: Remove `async with` context manager usage —
  langchain-mcp-adapters >= 0.1.0 dropped context manager support; use
  `client = DatabricksMultiServerMCPClient(...)` then `await client.get_tools()`
- Apply ruff formatting across all test files

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- test_mcp_resources.py: DatabricksFunction uses .name not .function_name
- test_langchain_mcp.py: ainvoke returns list of content dicts, not str;
  stringify result before checking for 'hello'
- test_langchain_mcp.py: handle_tool_error tests verify the attribute is
  set on tools rather than triggering MCP protocol errors (McpError from
  missing params bypasses LangChain's handle_tool_error mechanism)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
ty renamed `possibly-missing-attribute` to `unresolved-attribute` and
checkpoint.py needed `invalid-argument-type` suppression for **dict() kwargs.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Core: VS list_tools/call_tool tests, Genie list_tools/call_tool tests
- Resources: VS index resources, Genie space resource extraction tests
- LangChain: schema-level listing, from_vector_search() URL + tools
- OpenAI: schema-level listing, from_vector_search() toolkit + agents
- Fixtures: VS/Genie clients cached per-session to minimize API calls
- GENIE_SPACE_ID read from env var (matches PR #325 pattern)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…on tests

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…auth, tracing, timeout)

15 new tests covering: VS tool execution at wrapper level (LangChain, OpenAI Toolkit,
Agents SDK), VS schema-level listing without index_name, DatabricksMcpHttpClientFactory
token refresh, Agents SDK auth paths (PAT + OAuth M2M), MLflow tracing assertion on
McpServer.call_tool(), and Agents SDK timeout kwarg validation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…low trace API

- LangChain: args_schema can be a plain dict (not Pydantic model), handle both
- OpenAI: use mlflow.get_last_active_trace_id() + mlflow.get_trace() instead of
  mlflow.get_last_active_trace() which doesn't exist in CI's mlflow version

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Resolve ty:ignore comment style conflict in chat_models.py — accept main's
version with astral-sh/ty#1479 reference comments.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…ove unused invalid-argument-type

ty 0.0.13 renamed the diagnostic code again. Update all ty:ignore comments
in chat_models.py and remove now-unnecessary ty:ignore[invalid-argument-type]
in checkpoint.py.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- chat_models.py: bare `# ty:ignore` instead of version-specific codes
- lakebase.py: add `# ty:ignore[invalid-assignment]` for pool type mismatches
- test_openai_mcp.py: add `# ty:ignore[no-matching-overload]` for iter() call

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Core: merge VS + Genie tests into test_mcp_core.py (4 files → 2)
- Core: merge redundant list_tools + call_tool assertions (25 → 18 tests)
- Resources: merge type + name checks, remove normalization test (9 → 6)
- OpenAI: consolidate 13 classes → 4, merge subset tests (27 → 19)
- LangChain: consolidate 9 classes → 3, merge subset tests (23 → 16)
- Fix VS conftest to dynamically extract param name (consistency with Genie)
- Add VS schema-level listing test to core
- Total: 76 → 53 tests, all gaps from analysis doc addressed

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Pull request overview

Adds a new MCP integration-test suite to validate the Databricks MCP bridge end-to-end (core client + OpenAI and LangChain wrappers) against a live Databricks MCP server, and includes small ty ignore adjustments to keep CI passing.

Changes:

  • Add MCP integration tests for databricks_mcp core client (tools listing/execution, resources extraction, auth paths; UC Functions, Vector Search, Genie).
  • Add MCP integration tests for OpenAI wrappers (McpServerToolkit, Agents SDK McpServer) and LangChain wrappers (DatabricksMCPServer, DatabricksMultiServerMCPClient).
  • Update ty ignore annotations in lakebase.py and LangChain chat_models.py to address diagnostic-code churn.

Reviewed changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated 7 comments.

Show a summary per file
File Description
src/databricks_ai_bridge/lakebase.py Adds targeted # ty:ignore[invalid-assignment] for pool assignment typing.
integrations/langchain/src/databricks_langchain/chat_models.py Replaces diagnostic-coded ty ignores with bare # ty:ignore in response/chunk conversion paths.
databricks_mcp/tests/integration_tests/conftest.py Adds session-scoped fixtures for live MCP integration testing across UC/VS/Genie.
databricks_mcp/tests/integration_tests/test_mcp_core.py Adds core integration tests for DatabricksMCPClient list/call + auth.
databricks_mcp/tests/integration_tests/test_mcp_resources.py Adds integration tests for get_databricks_resources() normalization and resource typing.
integrations/openai/tests/integration_tests/test_openai_mcp.py Adds OpenAI wrapper integration tests (Toolkit + Agents SDK server) across UC/VS + auth/tracing/timeout.
integrations/langchain/tests/integration_tests/test_langchain_mcp.py Adds LangChain wrapper integration tests across UC/VS + token refresh + kwargs pass-through.

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"""Verify DatabricksMcpHttpClientFactory re-creates auth providers for token refresh."""

def test_sequential_invocations_succeed(self, workspace_client):
"""Two sequential get_tools() calls succeed — proves token refresh works."""
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Would the two sequential get_tools() calls not use the same token? Curious how token refresh is triggered here

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@dhruv0811 dhruv0811 Feb 26, 2026

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I believe the second call gets a new token since the factory creates a new OAuth provider. But youre right that the test doesnt really prove this currently. Will think more about how we can improve the auth token tests. The second test here checks that behavior for new provider, that should be sufficient?

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Left some comments, in general can we also test more non-happy paths? e.x. I try to use some tool that doesn't exist, or call the tool with the wrong parameters, and make sure that we forward that error back to the user in a meaningful way.

@dhruv0811 dhruv0811 force-pushed the mcp-integration-tests branch from b6dbb2f to 18d50d9 Compare February 26, 2026 01:30
with pytest.raises(ExceptionGroup) as exc_info:
asyncio.run(_test())

# Unwrap nested ExceptionGroups to find McpError
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Note: The pytest match isnt working here since this Error is nested it seems, so unwrapping it a bit.

@dhruv0811 dhruv0811 force-pushed the mcp-integration-tests branch from 18d50d9 to e34314e Compare February 26, 2026 18:43


# =============================================================================
# DatabricksMcpHttpClientFactory Auth Test
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This test doesn't replicate what a user would do (they would never directly import and use DatabricksMcpHttpClientFactory), but this test still verifies that each get_tools() call under the hood will create a new OAuth provider (factory behavior).

@dhruv0811 dhruv0811 force-pushed the mcp-integration-tests branch 2 times, most recently from 8117913 to e28f872 Compare February 26, 2026 18:50
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lgtm - left a few comments, please address them before merge!


Uses the first tool from cached_tools_list.
"""
tool_name = cached_tools_list[0].name
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minor: should we check the length of cached_tools_list to make sure that list_tools returned a non-empty list? if the behavior is that list_tools always throws an exception instead of returning an empty list for invalid functions, you can ignore this :) would also be curious what cached_tools_list is if it throws an exception that is not caught, and we are returning tools (might be None)?

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Good catch! I added an assert to make sure both the None case and the empty tools case gets caught and we get a clear assertion failure.

"""Schema-level URL should list at least the echo_message function."""
try:
tools = schema_mcp_client.list_tools()
except Exception as e:
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curious why we use Exception here but ExceptionGroup for listing specific UC functions, let's try to catch as specific of exceptions as possible when we skip so that the test fails if there are some new failure modes for list_tools

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Replaced all the Exception catches with ExceptionGroup + skip if the particular error is not found.


# -- Listing --

def test_server_lists_tools(self, workspace_client):
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can we use @pytest.mark.asyncio and async def test_server_lists_tools instead of asyncio.run(_test())? that way pytest-asyncio can handle the event loop for us. i believe we already have this pattern in other tests, so you can refer to those also! would be curious if there was a particular reason why we chose this pattern instead

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Refactored to use @pytest.mark.asyncio instead! Thanks for this catch, the tests look a lot cleaner with this.

@dhruv0811 dhruv0811 force-pushed the mcp-integration-tests branch from e28f872 to a34790b Compare March 3, 2026 19:26
…re catches

Review feedback from Ann (comments #3-7):
- Remove unused pytestmark from conftest.py (#3)
- Add multi-server test: UC + VS in DatabricksMultiServerMCPClient (#4)
- Narrow conftest fixture catches: ExceptionGroup with McpError NOT_FOUND
  check instead of bare Exception — re-raises non-NOT_FOUND errors (#6)
- Revert ty/type-ignore changes to non-test files (chat_models.py, lakebase.py,
  checkpoint.py) — not in scope for this PR (#1, #2)

Error path tests across all 3 layers (#7):
- Core: bad function (McpError BAD_REQUEST not found), bad tool name
  (McpError BAD_REQUEST malformed), wrong args (McpError missing parameter)
- OpenAI Toolkit: bad function (ValueError wrapping), bad tool (ExceptionGroup),
  wrong args (ExceptionGroup)
- OpenAI Agents: bad function (McpError), bad tool (McpError), wrong args (UserError)
- LangChain: bad function (ExceptionGroup > McpError), wrong args (McpError)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@dhruv0811 dhruv0811 force-pushed the mcp-integration-tests branch from a34790b to e6739e7 Compare March 3, 2026 19:29
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@dhruv0811 dhruv0811 merged commit 3050f1a into main Mar 3, 2026
46 checks passed
@dhruv0811 dhruv0811 deleted the mcp-integration-tests branch March 3, 2026 19:33
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3 participants