MCP DocGraph
Provides integration with OpenAI's LLM API for generating entity patterns and answering queries.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
MCP DocGraph
MCP server for building knowledge graphs from documents.
Ingest PDF/PPTX/DOCX files, transcribe to Markdown, bootstrap domain-specific entity patterns via LLM, and build a JSONL knowledge graph with RAG chunks — all configurable per project.
Quick Start
pipx install .Add to your MCP client config:
{
"mcpServers": {
"docgraph": {
"command": "python",
"args": ["-m", "mcp_docgraph.server"]
}
}
}Set LLM credentials:
export DOCGRAPH_LLM_API_KEY="your-key"
export DOCGRAPH_LLM_PROVIDER="anthropic" # or "openai"Related MCP server: pymupdf4llm-mcp
Tools
Tool | Description |
| Transcribe PDF/PPTX/DOCX → Markdown |
| LLM proposes entity patterns from docs |
| Build knowledge graph + RAG chunks |
| Query graph, get LLM-synthesized answer |
| Check graph integrity |
Workflow
Place documents in a folder
ingest_files→ transcribed Markdownbootstrap_config→ proposedconfig.yaml(review, edit if needed)build_graph→ JSONL nodes, edges, chunksvalidate_graph→ check integrityquery_graph→ ask questions
Design Spec
This server cannot be deployed
Maintenance
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