DevDocs MCP
by llmian-space
# DevDocs Implementation Insights
## Core Architecture Patterns
```mermaid
graph TD
subgraph "Documentation Processing"
DP[Doc Processor] --> FT[Filter Stack]
FT --> IX[Entry Index]
IX --> ST[Storage]
end
subgraph "Version Management"
VM[Version Manager] --> SV[Semantic Versioning]
VM --> TV[Timestamp Versioning]
VM --> IV[Inheritance System]
end
subgraph "Content Pipeline"
CP[Content Processor] --> EX[Extractor]
EX --> TR[Transformer]
TR --> VL[Validator]
end
```
## Applicable Patterns for Our Implementation
1. **Resource Template Enhancement**
```python
class DocumentationResource(ResourceTemplate):
"""Enhanced resource template with versioning support."""
model_config = ConfigDict(arbitrary_types_allowed=True)
version: Optional[str] = Field(None, description="Resource version")
release: Optional[str] = Field(None, description="Release identifier")
metadata: Dict[str, Any] = Field(default_factory=dict)
def get_version_slug(self) -> str:
"""Generate version-specific slug."""
if not self.version:
return self.uri_template
return f"{self.uri_template}~{self._normalize_version(self.version)}"
```
2. **Filter Stack Implementation**
```python
class FilterStack:
"""Process documentation through multiple filters."""
def __init__(self):
self.filters: List[Filter] = []
def add(self, filter_: Filter) -> None:
self.filters.append(filter_)
async def process(self, content: str) -> str:
"""Process content through filter stack."""
for filter_ in self.filters:
content = await filter_.apply(content)
return content
```
3. **Entry Indexing System**
```python
class EntryIndex:
"""Index documentation entries for quick lookup."""
def __init__(self):
self.entries: Dict[str, Entry] = {}
self.path_index: Dict[str, str] = {}
def add(self, entry: Entry) -> None:
"""Add entry to index with path mapping."""
self.entries[entry.id] = entry
self.path_index[entry.path] = entry.id
def find_by_path(self, path: str) -> Optional[Entry]:
"""Lookup entry by path."""
entry_id = self.path_index.get(path)
return self.entries.get(entry_id)
```
## Integration Strategy
1. **Documentation Processing Pipeline**
```mermaid
flowchart LR
Input[Doc Source] --> Extract[Content Extraction]
Extract --> Transform[Content Transform]
Transform --> Index[Entry Indexing]
Index --> Store[Storage Layer]
```
2. **Version Management**
```mermaid
flowchart TD
Version[Version Check] --> Semantic[Semantic Version]
Version --> Timestamp[Timestamp Version]
Semantic --> Normalize[Normalize Version]
Timestamp --> Normalize
Normalize --> Store[Store Version]
```
3. **Storage Strategy**
```mermaid
flowchart LR
Content[Content] --> Meta[meta.json]
Content --> Index[index.json]
Content --> DB[db.json]
subgraph "Storage Layer"
Meta
Index
DB
end
```
## Implementation Benefits
1. **Improved Version Handling**
- Support for multiple versioning schemes
- Version-specific resource paths
- Inheritance-based version management
2. **Enhanced Processing**
- Modular filter system
- Extensible transformation pipeline
- Clear separation of concerns
3. **Better Resource Management**
- Structured metadata storage
- Efficient entry indexing
- Flexible content organization
## Next Steps for Our Implementation
1. **Version Enhancement**
- Add version support to ResourceTemplate
- Implement version normalization
- Create version-aware paths
2. **Processing Pipeline**
- Implement filter stack system
- Create basic content processors
- Add transformation pipeline
3. **Storage Layer**
- Add metadata storage
- Implement entry indexing
- Create efficient lookup system
4. **Integration Points**
- Add documentation source handlers
- Implement content extractors
- Create transformation filters
This analysis provides a roadmap for enhancing our current implementation with proven patterns from the DevDocs system while maintaining our MCP-specific requirements and architecture.