better vscode integration
This commit is contained in:
@@ -16,7 +16,32 @@ Copilot interacts with MCP servers through independently exposed lanes:
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2. resources attached as read-only context
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3. server-provided prompts
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This server publishes skills as native `skill://` resources and prompts as native MCP prompt objects.
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This server publishes skills as native `skill://` resources and prompts as native MCP prompt objects. It also exposes generic `list_resources` and `read_resource` tools for agents whose tool catalog does not include direct MCP resource operations.
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## VS Code Feature Coverage
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The server uses every FastMCP feature that applies to its read-only guidance workload:
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| Feature | Usage |
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| --- | --- |
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| Server identity | The initialize response includes a stable name, usage instructions, and a self-contained icon for VS Code's MCP server UI. |
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| Tools | Compatibility tools have display titles, structured output schemas, and read-only, idempotent, closed-world annotations. FastMCP's default schema dereferencing remains enabled for clients such as VS Code that require flat schemas. |
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| Resources | Documentation and skills use native resources and wildcard resource templates with explicit Markdown MIME types. |
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| Prompts | Declarative workflows use native prompt objects with descriptions, display titles, typed arguments, and slash-command access. |
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| Argument completion | Prompt arguments with authored `choices` are returned through `completion/complete` as the user types. |
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[FastMCP server identity](https://gofastmcp.com/servers/server), [component icons](https://gofastmcp.com/servers/icons), [tool metadata](https://gofastmcp.com/servers/tools), and [argument completion](https://gofastmcp.com/servers/completions) define the implementation details. [VS Code's MCP documentation](https://code.visualstudio.com/docs/agent-customization/mcp-servers) describes how tools, resources, prompts, and MCP Apps appear in the client.
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The following capabilities are conditional rather than useful by default:
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1. MCP Apps require an interactive tool result such as a form or visualization; this server returns guidance and structured resource data only.
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2. Sampling is appropriate only when server-side work must ask VS Code to run an LLM. The current server retrieves authored content and does not generate it.
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3. Elicitation is appropriate only when a running operation needs additional user input. Prompt arguments already collect all required input before execution.
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4. Progress, client logging, and background tasks require long-running operations. Current reads and prompt rendering are bounded local operations.
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5. Client roots matter only when server behavior depends on client filesystem roots. This server reads packaged content and never traverses a client workspace.
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6. `website_url` requires a canonical public deployment URL. None is configured, so the server does not advertise a guessed address.
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Add one of these capabilities when a concrete workflow needs it, then cover its negotiated capability and protocol response in the HTTP MCP smoke tests. See the [FastMCP Apps overview](https://gofastmcp.com/apps/overview), [sampling](https://gofastmcp.com/servers/sampling), [elicitation](https://gofastmcp.com/servers/elicitation), [progress reporting](https://gofastmcp.com/servers/progress), and [MCP context](https://gofastmcp.com/servers/context) for the activation criteria.
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## Native Skill Resources
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@@ -26,7 +51,7 @@ For every skill, Copilot can discover:
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2. `skill://<name>/_manifest`
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3. `skill://<name>/{path*}` supporting-file template
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The main resource description comes from `SKILL.md`. The manifest discloses supporting paths, sizes, and SHA256 hashes. This is the only skill discovery contract; there is no parallel skill catalog.
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The main resource description comes from `SKILL.md`. The manifest discloses supporting paths, sizes, and SHA256 hashes. Native resources remain the only skill content and discovery contract; the generic tools delegate to that same resource surface rather than maintaining a parallel catalog.
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## Resource Picker Availability
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@@ -39,10 +64,15 @@ A successful `resources/list` response does not guarantee the picker appears in
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## Recommended Workflow
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1. browse the server's resources
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2. attach one relevant `skill://<name>/SKILL.md`
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3. attach `_manifest` only if supporting detail may be needed
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4. attach only selected supporting files
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For autonomous agents:
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1. call `list_resources`
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2. compare main skill names and descriptions
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3. call `read_resource` for one relevant `skill://<name>/SKILL.md`
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4. read `_manifest` only if supporting detail may be needed
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5. read only selected supporting files
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For manual context attachment, browse the server's resources and attach the same bounded set of files.
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## Prompt Examples
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@@ -72,13 +102,13 @@ A repo-level instruction should name the native retrieval order and context budg
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When a task matches a personal-mcp skill:
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1. Prefer an already attached native skill resource.
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2. Otherwise browse MCP resources and select one `skill://<name>/SKILL.md` resource by description.
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3. Read `_manifest` only when supporting material is needed.
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2. Otherwise call `list_resources` and select one `skill://<name>/SKILL.md` resource by description.
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3. Call `read_resource` for the selected skill and read `_manifest` only when supporting material is needed.
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4. Load at most two candidate main files and only the relevant supporting paths.
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5. Reconcile guidance with the current repository before editing.
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```
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Instructions steer behavior but do not force VS Code to attach resources automatically.
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Instructions steer behavior but do not force VS Code to attach resources automatically. The generic tools provide an agent-callable fallback when direct resource operations are absent from the deferred-tool catalog.
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## Prompt Objects
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@@ -88,8 +118,9 @@ Prompts remain separate from skills. When the client supports MCP prompt APIs, u
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1. Use `MCP: List Servers` to confirm the server is enabled.
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2. Use `MCP: Browse Resources` to confirm native skill resources exist.
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3. Restart the MCP server after changing skill files because production uses `reload=False`.
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4. Reload the VS Code window if the server is healthy but the resource picker remains stale.
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3. Confirm `list_resources` and `read_resource` appear in the chat tool picker when autonomous retrieval is required.
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4. Restart the MCP server after changing skill files because production uses `reload=False`.
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5. Reload the VS Code window if the server is healthy but the resource or tool picker remains stale.
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## Further Reading
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@@ -25,7 +25,7 @@ uv sync
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Run the app locally with the static docs rebuilt first, using [Uvicorn factory mode](https://www.uvicorn.org/settings/#application):
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```bash
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uv run zensical build && uv run uvicorn personal_mcp.main:create_app --factory --host 127.0.0.1 --port 8765
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uv run zensical build && uv run uvicorn personal_mcp.web.app:create_app --factory --host 127.0.0.1 --port 8765
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```
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Build and run the Docker image with the same exposed port:
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@@ -7,6 +7,8 @@ Use this page for MCP client setup, operational tools, and integration reference
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!!! info "VS Code MCP docs"
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- [VS Code MCP servers overview](https://code.visualstudio.com/docs/agent-customization/mcp-servers)
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- [VS Code MCP configuration reference](https://code.visualstudio.com/docs/agents/reference/mcp-configuration)
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- [VS Code MCP developer guide](https://code.visualstudio.com/docs/agents/guides/mcp-developer-guide)
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- [VS Code MCP Apps support](https://code.visualstudio.com/blogs/2026/01/26/mcp-apps-support)
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- [VS Code Copilot customization overview](https://code.visualstudio.com/docs/copilot/customization/overview)
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## Debugging and Inspection
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@@ -13,6 +13,13 @@ Use this page for implementation-oriented links across MCP SDKs and FastMCP.
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!!! info "FastMCP sources"
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- [FastMCP project documentation](https://gofastmcp.com/)
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- [FastMCP server identity and behavior](https://gofastmcp.com/servers/server)
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- [FastMCP tools and annotations](https://gofastmcp.com/servers/tools)
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- [FastMCP resources and templates](https://gofastmcp.com/servers/resources)
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- [FastMCP prompts](https://gofastmcp.com/servers/prompts)
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- [FastMCP argument completion](https://gofastmcp.com/servers/completions)
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- [FastMCP component icons](https://gofastmcp.com/servers/icons)
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- [FastMCP Apps](https://gofastmcp.com/apps/overview)
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- [FastMCP GitHub repository](https://github.com/jlowin/fastmcp)
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- [FastMCP examples directory](https://github.com/jlowin/fastmcp/tree/main/examples)
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- [FastMCP PyPI package](https://pypi.org/project/fastmcp/)
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@@ -53,14 +53,15 @@ These utilities operate directly on the native `skill://` contract and require n
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In VS Code, skills can arrive through:
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1. explicit attachment from `Add Context > MCP Resources` or `MCP: Browse Resources`
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2. a slash-command prompt that names a specific native skill URI
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2. the generic `list_resources` and `read_resource` tools for autonomous agents
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3. a slash-command prompt that names a specific native skill URI
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Instructions can steer retrieval, but they do not guarantee automatic resource attachment in every chat surface.
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Instructions can steer retrieval, but they do not guarantee automatic resource attachment in every chat surface. When the deferred-tool catalog omits direct MCP resource operations, use the generic tools; they delegate to the native providers and do not duplicate skill metadata or content.
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A reliable prompt is:
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```text
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Browse personal-mcp resources and select the best matching skill://.../SKILL.md resource. Read one selected skill, inspect its _manifest only if supporting detail is needed, and reconcile the guidance with this workspace.
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Call list_resources and select the best matching skill://.../SKILL.md resource. Use read_resource for one selected skill, inspect its _manifest only if supporting detail is needed, and reconcile the guidance with this workspace.
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```
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## Thin Shim Pattern
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+63
-2
@@ -1,24 +1,53 @@
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from __future__ import annotations
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from fastmcp import FastMCP
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from mcp.types import CompletionArgument
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from mcp.types import CompletionContext
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from mcp.types import Icon
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from mcp.types import PromptReference
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from personal_mcp.prompts import create_prompts_provider
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from personal_mcp.prompts.models import MarkdownPrompt
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from personal_mcp.prompts.provider import MarkdownPromptsProvider
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from personal_mcp.registry.load import get_docs_registry
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from personal_mcp.registry.load import read_docs_markdown_path
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from personal_mcp.registry.models import DocsRegistry
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from personal_mcp.skills import create_skills_provider
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_SERVER_INSTRUCTIONS = """Personal development guidance exposed as native MCP resources and prompts.
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Use prompts for parameterized workflows. For task-specific guidance, list resources, select one
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skill://<name>/SKILL.md by description, and read its manifest only when supporting detail is needed.
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Read-only compatibility tools expose the same resource catalog to clients without native resource access.
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"""
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_SERVER_ICON = Icon(
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src=(
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"data:image/svg+xml;base64,"
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"PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCA2NCA2NCI+"
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"PHJlY3Qgd2lkdGg9IjY0IiBoZWlnaHQ9IjY0IiByeD0iOCIgZmlsbD0iIzE2N0Q4RCIvPjxwYXRoIGQ9"
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"Ik0xOCAxNmgyMGw4IDh2MjRIMTh6IiBmaWxsPSJub25lIiBzdHJva2U9IndoaXRlIiBzdHJva2Utd2lk"
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"dGg9IjQiLz48cGF0aCBkPSJNMzggMTZ2MTBoOE0yNSAzM2gxNE0yNSA0MGgxNCIgZmlsbD0ibm9uZSIg"
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"c3Ryb2tlPSJ3aGl0ZSIgc3Ryb2tlLXdpZHRoPSI0Ii8+PC9zdmc+"
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),
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mime_type="image/svg+xml",
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sizes=["64x64"],
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)
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def _ro_annotations() -> dict[str, bool]:
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return {
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"readOnlyHint": True,
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"idempotentHint": True,
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"openWorldHint": False,
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}
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def _register_components(mcp: FastMCP, registry: DocsRegistry) -> None:
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@mcp.resource(
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"resource://docs/{path*}",
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name="docs_markdown",
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title="Documentation Markdown",
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description="Read a packaged documentation page by its path relative to the docs root.",
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mime_type="text/markdown",
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tags={"docs"},
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annotations=_ro_annotations(),
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@@ -30,6 +59,7 @@ def _register_components(mcp: FastMCP, registry: DocsRegistry) -> None:
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def _register_resource_tools(mcp: FastMCP) -> None:
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@mcp.tool(
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name="list_resources",
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title="List Resources",
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description=(
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"List available MCP resources and URI templates. Use before read_resource to discover skill guidance."
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),
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@@ -61,6 +91,7 @@ def _register_resource_tools(mcp: FastMCP) -> None:
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@mcp.tool(
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name="read_resource",
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title="Read Resource",
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description="Read a resource URI returned by list_resources, including skill files, manifests, and references.",
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annotations=_ro_annotations(),
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)
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@@ -69,11 +100,41 @@ def _register_resource_tools(mcp: FastMCP) -> None:
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return result.model_dump(mode="json", exclude_none=True)
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def _register_prompt_completions(mcp: FastMCP, provider: MarkdownPromptsProvider) -> None:
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@mcp.completion
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async def complete_prompt_argument(
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ref: object,
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argument: CompletionArgument,
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context: CompletionContext | None,
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) -> list[str] | None:
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del context
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if not isinstance(ref, PromptReference):
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return None
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prompt = await provider.get_prompt(ref.name)
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if not isinstance(prompt, MarkdownPrompt):
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return None
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definition = prompt.definitions.get(argument.name)
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if definition is None or definition.choices is None:
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return None
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prefix = argument.value.casefold()
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return [choice for choice in definition.choices if choice.casefold().startswith(prefix)]
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def create_mcp() -> FastMCP:
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registry = get_docs_registry()
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mcp = FastMCP("personal-mcp", on_duplicate="error")
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mcp = FastMCP(
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"personal-mcp",
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instructions=_SERVER_INSTRUCTIONS,
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icons=[_SERVER_ICON],
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on_duplicate="error",
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)
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_register_components(mcp, registry)
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mcp.add_provider(create_prompts_provider())
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prompts_provider = create_prompts_provider()
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mcp.add_provider(prompts_provider)
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mcp.add_provider(create_skills_provider())
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_register_resource_tools(mcp)
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_register_prompt_completions(mcp, prompts_provider)
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return mcp
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@@ -65,6 +65,7 @@ class MarkdownPrompt(Prompt):
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metadata = definition.metadata
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return cls(
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name=definition.prompt_id,
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title=definition.prompt_id.replace("-", " ").title(),
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version=metadata.version,
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description=metadata.description,
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tags=set(metadata.tags),
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