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Port from openai/codex#17667: MCP servers can now opt-in to parallel tool execution by setting supports_parallel_tool_calls: true in their config. This allows tools from the same server to run concurrently within a single tool-call batch, matching the behavior already available for built-in tools like web_search and read_file. Previously all MCP tools were forced sequential because they weren't in the _PARALLEL_SAFE_TOOLS set. Now _should_parallelize_tool_batch checks is_mcp_tool_parallel_safe() which looks up the server's config flag. Config example: mcp_servers: docs: command: "docs-server" supports_parallel_tool_calls: true Changes: - tools/mcp_tool.py: Track parallel-safe servers in _parallel_safe_servers set, populated during register_mcp_servers(). Add is_mcp_tool_parallel_safe() public API. - run_agent.py: Add _is_mcp_tool_parallel_safe() lazy-import wrapper. Update _should_parallelize_tool_batch() to check MCP tools against server config. - 11 new tests covering the feature end-to-end. - Updated MCP docs and config reference. |
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| .. | ||
| _category_.json | ||
| cli-commands.md | ||
| environment-variables.md | ||
| faq.md | ||
| mcp-config-reference.md | ||
| optional-skills-catalog.md | ||
| profile-commands.md | ||
| skills-catalog.md | ||
| slash-commands.md | ||
| tools-reference.md | ||
| toolsets-reference.md | ||