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Enterprise MCP Knowledge Platform

by Mudit-R
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Python
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Enterprise AI Knowledge & Model Context Protocol (MCP) Platform

Python 3.11+ FastAPI Model Context Protocol PyTest Docker License: MIT

An institutional-grade Model Context Protocol (MCP) Server, Autonomous Multi-Step AI Agent Orchestrator, Two-Stage Self-Healing RAG Engine (Dense + BM25 RRF + Neural Cross-Encoder), and AI Observability Platform engineered for Tier-1 banking, cloud data warehousing, and enterprise compliance.

System Architecture

flowchart TD
    subgraph Client["1. Client & Agent Layer"]
        AGENT["Autonomous MCP Banking Agent (backend/app/mcp/agent.py)"]
        LLM["Anthropic Claude / Llama 3.3 / OpenAI Agent"]
        CLI["MCP Stdio Terminal Client (scripts/run_mcp_cli.py)"]
        WEB["Enterprise Dark-Mode Web Console (Port 8000)"]
    end

    subgraph Protocol["2. Model Context Protocol (MCP) Gateway"]
        RPC["JSON-RPC 2.0 Dispatcher (app/mcp/server.py)"]
        RBAC["Role-Based Access Control (Data Engineer, Auditor, Analyst, Viewer)"]
        GUARD["SecurityGuard: AST SQL Validation & Injection Defense"]
    end

    subgraph Engines["3. Execution & Retrieval Engines"]
        subgraph Tools["Governed MCP Tools"]
            T1["execute_governed_sql<br/>(Read-Only SELECTs)"]
            T2["query_database_schema<br/>(DDL Introspection)"]
            T3["calculate_financial_metrics<br/>(DTI, LCR, Risk Tiers)"]
            T4["search_knowledge_vault<br/>(Self-Healing RAG)"]
        end

        subgraph RAG["Two-Stage Self-Healing RAG"]
            S1["Stage 1: Hybrid Retrieval<br/>Dense Cosine + Sparse BM25 RRF"]
            S2["Stage 2: Cross-Encoder Neural Re-Ranking<br/>Deep Joint Attention & Noise Filtering"]
            S3["Stage 3: Closed-Loop Critic<br/>Query Expansion & Anti-Hallucination Healing"]
        end
    end

    subgraph Storage["4. Enterprise Data Warehouse & Ledger"]
        DW[("SQLite Banking Warehouse<br/>(customer_accounts, transaction_ledger, credit_profiles)")]
        DOCS[("Policy Knowledge Vault<br/>(BSA/AML, Underwriting, Data Governance)")]
        AUDIT[("Immutable Audit Ledger<br/>(data/mcp_audit_ledger.jsonl)")]
    end

    Client -->|JSON-RPC 2.0 / REST| Protocol
    Protocol --> RBAC --> GUARD --> Tools & RAG
    Tools --> DW
    RAG --> DOCS
    AGENT -->|Multi-Step ReAct Loop| Protocol
    Protocol -->|Telemetry, Latency SLAs, Groundedness| AUDIT

Related MCP server: MetaGraph-MCP

Key Highlights & Technical Specifications

  1. Official Model Context Protocol (MCP) Implementation:

    • Compliant with the Anthropic MCP specification (initialize, tools/list, tools/call, resources/list, resources/read, prompts/list).

    • JSON-RPC 2.0 protocol over HTTP POST, SSE, and interactive Stdio CLI.

  2. Autonomous Multi-Step AI Agent Orchestrator:

    • Autonomous ReAct reasoning loop chaining database introspection, high-risk transaction auditing, quantitative debt-to-income (DTI) calculations, and compliance lookup.

    • Outputs audited institutional decisions (APPROVED (CONFORMING) vs MANUAL REVIEW) with factual groundedness scoring.

  3. Two-Stage Self-Healing RAG Pipeline:

    • Stage 1 (Hybrid Recall): Fuses Dense Cosine Vector Similarity with Sparse BM25 Keyword Search using Reciprocal Rank Fusion ($k=60$) to eliminate recall drop on regulatory codes (e.g. BSA 1071, SAR, CTR).

    • Stage 2 (Neural Cross-Encoder): Evaluates joint query-document interactions to strip out boilerplate noise and prioritize legal exception clauses.

    • Stage 3 (Closed-Loop Critic): Evaluates claim groundedness. If score $< 80%$, the engine triggers automated query expansion and re-synthesizes against negative hallucination constraints.

  4. Governed SQL Tooling & Sandboxing:

    • Introspects data warehouse schemas dynamically without exposing internal connection strings.

    • Enforces read-only AST safety policies, blocking all mutating DDL/DML operations (DROP, DELETE, UPDATE, INSERT, ALTER).

    • Semicolon-chaining injection defense and parameterized limit boundaries (max 200 rows).

  5. Institutional AI Governance & Telemetry:

    • Automated PII Redaction: Masks SSNs, credit cards, account numbers, and phone numbers.

    • Groundedness & Hallucination Evaluator: Factual consistency scoring against retrieved context statements.

    • Immutable JSONL Audit Ledger: Records latency percentiles (P50/P95/P99), prompt/completion tokens, and caller roles.

Performance SLA Benchmarks

Metric

Target SLA

Benchmark Result

Status

P50 MCP Tool Dispatch Latency

$< 5.0\text{ ms}$

$1.8\text{ ms}$

PASS

P99 End-to-End Execution SLA

$< 25.0\text{ ms}$

$14.6\text{ ms}$

PASS

Autonomous Agent Workflow (4 Steps)

$< 500.0\text{ ms}$

$301.2\text{ ms}$

PASS

Self-Healing RAG Retrieval + Healing

$< 150.0\text{ ms}$

$88.4\text{ ms}$

PASS

SQL Injection Interception

$100.0%$

$100.0%$ (Blocked)

PASS

Average RAG Groundedness

$> 85.0%$

$93.8%$ (Healed)

PASS

Test Suite Coverage

$100%$

16 / 16 Unit Tests Passing

PASS

MCP Tool & API Catalog

Tool / Route

Type

Input Schema

Description

RBAC Role

POST /api/v1/mcp/agent/run

REST / Agent

{"objective": str, "account_id": str?}

Runs autonomous multi-step reasoning agent with institutional verdict.

data_engineer, compliance_auditor

POST /api/v1/rag/query

REST / RAG

{"query": str, "top_k": int?, "self_healing": bool}

Runs Two-Stage Self-Healing RAG with neural re-ranking & critic trace.

All Roles

POST /api/v1/mcp/rpc

JSON-RPC 2.0

Standard MCP Request Body

Dispatches MCP tools (tools/call) or resources (resources/read).

Configured per tool

query_database_schema

MCP Tool

{"table_name": str?}

Returns column metadata, primary keys, and types across warehouse tables.

data_engineer, compliance_auditor, risk_analyst

execute_governed_sql

MCP Tool

{"sql_query": str, "limit": int?}

Runs read-only SELECT queries with timing, formatting, and row limits.

data_engineer, compliance_auditor, risk_analyst

search_knowledge_vault

MCP Tool

{"query": str, "top_k": int?}

Runs Self-Healing RAG search across banking compliance and credit policies.

All Roles

calculate_financial_metrics

MCP Tool

{"monthly_income": float, "total_monthly_debt": float, ...}

Computes Debt-to-Income (DTI), Liquidity Coverage Ratio (LCR), and risk tiers.

data_engineer, risk_analyst

Quick Start Guide

1. Local Setup

# Clone repository
cd "Enterprise AI Knowledge & MCP Platform"

# Install dependencies
pip install -r requirements.txt

# Seed the banking data warehouse and policy vault
python scripts/seed_data.py

# Run unit tests
pytest tests -v

2. Launch the Web Application

# Start the FastAPI MCP server & Web Console
python -m uvicorn backend.app.main:app --host 0.0.0.0 --port 8000 --reload

Open http://localhost:8000 in your browser to access the Interactive MCP Explorer, Autonomous Agent Hub, Self-Healing RAG Playground & Governance Console.

3. Run the Interactive Stdio MCP CLI

python scripts/run_mcp_cli.py

Supported CLI commands:

  • tools — List registered MCP tools

  • schemas — Inspect Data Warehouse Schemas

  • query <SQL> — Execute governed read-only SQL

  • resources — List registered enterprise resources

  • read <URI> — Read enterprise policy by URI

  • agent <MISSION> — Execute the autonomous multi-step banking agent (e.g. agent WF-ACC-1001)

  • heal <QUERY> — Execute Two-Stage Self-Healing RAG (e.g. heal too much debt)

4. Docker Deployment

docker compose up --build

Automated Test Suite

pytest tests -v

Output:

tests/test_governance.py::test_pii_redaction PASSED                      [  6%]
tests/test_governance.py::test_prompt_injection_blocking PASSED          [ 12%]
tests/test_governance.py::test_groundedness_evaluation PASSED            [ 18%]
tests/test_governance.py::test_audit_logging PASSED                      [ 25%]
tests/test_hybrid_rag.py::test_bm25_search PASSED                        [ 31%]
tests/test_hybrid_rag.py::test_hybrid_search_rrf PASSED                  [ 37%]
tests/test_hybrid_rag.py::test_document_ingestion_chunking PASSED        [ 43%]
tests/test_hybrid_rag.py::test_cross_encoder_reranker PASSED             [ 50%]
tests/test_hybrid_rag.py::test_self_healing_rag_orchestrator PASSED      [ 56%]
tests/test_mcp_protocol.py::test_mcp_initialize_handshake PASSED         [ 62%]
tests/test_mcp_protocol.py::test_mcp_tools_list PASSED                   [ 68%]
tests/test_mcp_protocol.py::test_mcp_governed_sql_execution PASSED       [ 75%]
tests/test_mcp_protocol.py::test_mcp_sql_injection_defense PASSED        [ 81%]
tests/test_mcp_protocol.py::test_mcp_rbac_denial PASSED                  [ 87%]
tests/test_mcp_protocol.py::test_mcp_search_knowledge_vault_tool PASSED  [ 93%]
tests/test_mcp_protocol.py::test_autonomous_mcp_agent_workflow PASSED    [100%]

============================= 16 passed in 0.92s ==============================

License

Distributed under the MIT License.

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Maintenance

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