knowledge-mcp
knowledge-mcp is a Python MCP server plus CLI for creating, managing, and querying local knowledge bases backed by LightRAG (hybrid vector + knowledge graph retrieval). Users configure an embedding/LLM provider (e.g., OpenAI), ingest documents into per-KB directories, and query the resulting index via an MCP (FastMCP) interface for use by MCP-capable AI clients.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
MCP server access/authentication is not described; intended usage appears local/container-based. Secrets for upstream providers are referenced via .env and ${ENV_VAR} substitution, which is a positive sign. TLS/auth for the MCP interface itself is not addressed in README; ensure the MCP transport and network exposure are handled securely when deploying beyond localhost. Dependency hygiene is unknown from provided content.
⚡ Reliability
Best When
You want a local MCP-based RAG tool that an AI desktop/IDE client can query, with per-knowledge-base retrieval configuration and custom formatting.
Avoid When
You need a fully managed, internet-accessible service with strong built-in access control, SLAs, and clear rate-limit guarantees.
Use Cases
- • Domain-specific Q&A over a curated document collection (technical docs, internal manuals)
- • Agent workflows that need structured retrieval (entity/relationship + vector hybrid) from a local KB
- • Local knowledge bases for privacy-sensitive RAG use cases where documents stay on the host
- • Consistent response formatting for agents via per-KB configurable user prompts
Not For
- • Public multi-tenant deployment without additional security controls
- • Use cases requiring a standardized hosted API with built-in rate limiting and auth
- • Applications that need rich webhooks or push-style updates
- • Environments where OpenAI API keys cannot be used/managed
Interface
Authentication
No user/client authentication for the MCP server itself is described; access appears intended to be local/controlled by how the process is started (e.g., Docker volume/container).
Pricing
The package itself is MIT-licensed; external provider usage likely incurs variable API costs.
Agent Metadata
Known Gotchas
- ⚠ MCP server appears to be launched as a CLI command (uvx/uv/docker). Agents must ensure the correct config/base args and mounted knowledge directory.
- ⚠ Indexing/ingestion uses external LLM/embedding providers; long-running operations may require timeouts/retries on the client side even if not documented.
- ⚠ Per-KB config (mode/top_k/token limits/user_prompt) affects retrieval/response; inconsistent config can lead to unexpected results.
Alternatives
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Scores are editorial opinions as of 2026-03-30.