boop-mcp-rag

boop-mcp-rag

Enables local RAG orchestration with MCP, providing context retrieval, in-memory text ingestion, explicit tool invocation, and transport-neutral tool discovery.

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README

Boop MCP–RAG

Boop MCP–RAG is a source-independent foundation for a future Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) system. It implements stable contracts and a deterministic local reference path without embedding a model provider, source system, credential, database, vector database, remote MCP server, or production identity service.

The project is deliberately a structural foundation. It is not a production RAG service, autonomous agent, API gateway, vector search cluster, or remote tool executor.

Runtime topology

Consumer / MCP client
        |
        v
ContextRouter
   |                  |
   v                  v
QueryRetriever      MCPHost
   |                  |
   v                  v
ContextDocument     ToolResult
        \            /
         v          v
      ContextPayload

The orchestrator sees only normalized contracts. Retrieval storage, session persistence, tool transport, and telemetry export are selected behind interfaces at installation time.

Boundary Contract Local reference adapter Install-time extension point
Ingestion IngestionPipeline In-memory deterministic chunking Document parser, embedding model, indexer
Retrieval QueryRetriever Keyword-overlap ranking pgvector, Qdrant, hybrid search
Session state SessionStore Process memory Redis, PostgreSQL
Tools MCPHost In-process Pydantic-validated host MCP STDIO, HTTP/SSE, gRPC bridge
Telemetry OpenTelemetry API spans API instrumentation only OTLP collector/exporter
Gateway Configuration placeholder None Authentication, authorization, rate-limit adapters

Included behavior

The ContextRouter validates a request, retrieves context, discovers registered tools, and executes a tool only when the caller explicitly supplies requested_tool. It creates a normalized ContextPayload containing the user query, retrieved documents, tool definitions, session metadata, and optional tool result.

The reference knowledge adapter is deterministic keyword matching. It is provided to validate contracts and tests, not to claim semantic/vector retrieval. The local MCP host validates every tool input with Pydantic before invoking its handler.

Install and validate

python3 -m pip install -e .
python3 -m unittest discover -s tests -p "test_*.py" -v
python3 -m compileall -q src tests server.py
boop-mcp-rag status

Local MCP surface

Start the local MCP server:

mcp run server.py

It exposes four local-reference tools:

Tool Purpose
rag_status Declares installed local adapters and uninstalled extension points.
rag_ingest_text Indexes caller-provided text in process memory; it does not fetch external content.
rag_orchestrate Retrieves context and optionally invokes an explicitly requested local tool.
rag_list_tools Lists transport-neutral tool descriptors.

Installation boundary

Copy config.example.json and select real adapters only after the target runtime, data sources, access boundary, and operational requirements have been verified. Do not place secrets, service tokens, source dumps, or production connection strings in this repository.

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