- Client task support is opt-in via importing fastmcp_tasks (drop the core
auto-load of companion packages); a plain Client never advertises tasks.
- A worker restores the submitting caller's auth token and headers from the
task snapshot into the standard ambient context, so get_access_token() /
get_http_headers() work in a distributed worker with no new core hooks.
- worker_cli validates the loaded extension's resolved backend, not env defaults,
so a constructor-configured Redis worker starts.
- Thread the per-call read timeout through task polling; bound ToolTask.wait by
its deadline; set_elicitation_callback rebuilds internal extensions so a
later-set handler answers in-task input.
- README imports TaskConfig from fastmcp.utilities.tasks.
Co-Authored-By: Claude <noreply@anthropic.com>
TasksExtension serves io.modelcontextprotocol/tasks on the extension API:
a decide-and-task tools/call interceptor (era-gated to modern connections),
tasks/get with inlined results and inputRequests, tasks/update delivering
poll-based in-task elicitation, tasks/cancel, durable creation, and
auth-scoped task isolation. Wire models validate against the vendored
ext-tasks schema. Worker-side Context hooks are refcounted so sibling
servers cannot strand each other's workers.
Co-Authored-By: Claude <noreply@anthropic.com>
Engine modules (keys, context snapshot, docket lifespan, worker CLI,
client handles) move intact; SEP-1686 wire modules park in _legacy_wire
for adaptation to SEP-2663. Core keeps task=True declaration on tools
only and raises at serve time until the tasks extension is registered.
Co-Authored-By: Claude <noreply@anthropic.com>
* feat: add --config-path flag to claude-desktop install command
* feat: add --config-path flag to claude-desktop install command
* docs: add --config-path option to install-mcp documentation
* fix: show specific error message when provided --config-path does not exist
* generate-cli: auto-generate SKILL.md alongside CLI script
generate-cli now produces a SKILL.md agent skill file next to the CLI
script, documenting every tool's exact invocation syntax, parameter
flags, and types. Agents can use the CLI immediately without discovery.
* Use uv run --with fastmcp in generated SKILL.md invocations
* Fix skill generation issues from review
- Escape pipe chars in union type labels so markdown tables render
- Boolean params omit <value> placeholder in example invocations
- Quote YAML frontmatter values to handle special chars in names
- Match cyclopts camelCase→snake_case in flag derivation
- Use four-backtick fence for nested code block in docs
* Replace --skill/--no-skill with just --no-skill
* Escape quotes in YAML frontmatter description
* Strip newlines from param descriptions in skill table rows
* Detect boolean union types for flag placeholder
* Add `fastmcp generate-cli` command
Connects to any MCP server, reads its tool/resource/prompt schemas,
and writes a standalone Python CLI script with typed subcommands.
* docs: add generate-cli documentation
* docs: add generate-cli documentation; skip Windows executable test
* fix: address PR review feedback
- Sanitize tool and parameter names to valid Python identifiers
- Replace bare except Exception with specific exception types
- Escape server name in generated string literals
- Handle trailing colon edge case in _derive_server_name
- Clarify in docs that generated CLI is a client, not a bundled server
* Fix string escaping issues in generate-cli
- Use single-quoted docstrings to avoid triple-quote escaping issues
- Escape quotes in app_name derived from server_name
- Add tests for descriptions with quotes and server names with quotes
Addresses CodeRabbit review comments about insufficient escaping.
* Implement smart parameter handling for generate-cli
- Simple types (str, int, float, bool): Direct typed flags
- Arrays of simple types (list[str], list[int]): Repeatable flags via cyclopts
- Complex types (objects, nested arrays): Accept JSON strings with parsing
- JSON schema shown in help text for complex parameters
- Proper escaping of newlines and quotes in help text
- Filter out None and empty list defaults when calling tools
This gives typed, discoverable CLIs for common cases while handling
complex schemas via JSON input.
* Update generate-cli docs to explain smart parameter handling
- Document simple types as direct typed flags
- Document arrays of simple types as repeatable flags
- Document complex types as JSON strings with schema in help
- Add examples showing all three patterns
* Fix Codex review issues in generate-cli
High priority fixes:
- Complex type defaults: Serialize dict/list defaults to JSON strings
- List params: Preserve help metadata with Annotated wrapper
- Name collisions: Detect and error on sanitized name conflicts
- JSON parsing: Use isinstance check for safety with defaults
Added tests for:
- Complex types with default values
- Parameter name collision detection
- Updated existing tests to match new format
* Use pydantic_core.to_json for consistency
- Generator now uses pydantic_core.to_json() instead of json.dumps()
- Consistent with rest of fastmcp codebase
- Generated CLI still uses plain json module (standalone script)
* Move local imports to module level in generate-cli
* Handle union item types and Python keyword collisions in generate-cli
Fixes#3049 by mocking check_for_newer_version to prevent real network
calls to PyPI during tests, which was causing timeouts on Windows.
Co-authored-by: Bill Easton <strawgate@users.noreply.github.com>
