ODPS MCP Server

Read-only MCP server for Alibaba Cloud MaxCompute with enterprise-grade security.

Features

• Read-only SQL Guard: Only SELECT queries are allowed, with automatic LIMIT injection
• Table/Column-level Access Control: Fine-grained policy via YAML allowlist
• Policy Registry: Domain-based policy management with sensitivity levels, row policies, and partition filters
• Authentication: Bearer Token and Gateway Header authentication
• Audit Logging: JSONL-format audit logs with request tracking
• Unified Response Structure: Consistent ok/data/error/metadata/audit_id format
• Join Path Catalog: Pre-approved table join relationships with business context

Quick Start

1. Install Dependencies

python -m venv .venv
.venv\Scripts\activate  # Windows
# source .venv/bin/activate  # Linux/Mac
pip install -e .

2. Configure Environment

# Copy example config
copy .env.example .env.local  # Windows
# cp .env.example .env.local  # Linux/Mac

# Edit .env.local with your ODPS credentials

Required variables:

• ALIBABA_CLOUD_ACCESS_KEY_ID
• ALIBABA_CLOUD_ACCESS_KEY_SECRET
• ODPS_ENDPOINT
• ODPS_PROJECT
• ODPS_ALLOWLIST_PATH

3. Run Server

# Streamable HTTP mode (recommended)
python -m odps_mcp_server.server

# Or using uvicorn
uvicorn odps_mcp_server.server:create_app --factory --host 0.0.0.0 --port 8000

Endpoints

MCP Tools

Discovery Tools

Query Tools

Semantic Layer Tools (P2)

Query Planner Tools (P3)

The Query Planner enables agents to query data without writing SQL directly:

1. plan_query("3月华南区发货金额是多少？") → Returns a query plan with metrics, dimensions, filters
2. explain_query_plan(plan_id) → Get human-readable explanation
3. run_approved_query(plan_id) → Execute the plan and get results

This approach ensures:

• LLM understands the question and generates a candidate plan
• Program handles permissions, table selection, column selection, join checks, limits
• Risk flags are identified before execution

Cost Control (P4)

The server includes built-in cost control mechanisms to prevent expensive queries:

Risk Assessment

Every query is evaluated for risk based on:

• Missing WHERE clause
• Missing partition filter
• Missing LIMIT
• Large LIMIT values
• High JOIN count
• SELECT * usage

Risk levels: low → medium → high → critical

Policy Enforcement

Configured in config/policy.yaml under security:

security:
  deny_unapproved_join: true
  max_join_tables: 3
  max_estimated_scan_bytes: 10737418240  # 10GB
  query_timeout_seconds: 300
  max_concurrent_queries_per_user: 5

Response with Cost Estimate

When cost control is enabled, responses include:

{
  "ok": true,
  "data": { ... },
  "cost_estimate": {
    "policy_decision": "allowed",
    "risk_level": "low",
    "risk_flags": [],
    "tables_used": ["project.table"],
    "columns_used": ["col1", "col2"],
    "partitions_used": ["pt"],
    "has_partition_filter": true,
    "join_count": 0
  }
}

Concurrency Control

Per-user concurrent query limits are enforced. Queries exceeding the limit receive a CONCURRENCY_LIMIT_EXCEEDED error.

Enterprise Integration (P5)

Supports enterprise identity providers and role-based access control.

Identity Providers

Configure in config/enterprise.yaml:

identity_providers:
  wecom:
    name: 企业微信
    type: wecom
    enabled: true
    corp_id: "your-corp-id"
    user_id_field: "X-Wecom-User-Id"

  dingtalk:
    name: 钉钉
    type: dingtalk
    enabled: true
    app_key: "your-app-key"
    user_id_field: "X-Dingtalk-User-Id"

Role-Based Access Control

roles:
  data_analyst:
    name: 数据分析师
    allowed_tools:
      - list_allowed_tables
      - describe_table
      - preview_table
      - run_select_sql
    allowed_domains:
      - sales
      - product
    rate_limit: "100/minute"
    query_quota_daily: 1000

Client Configuration

clients:
  sales_bot:
    name: 销售数据机器人
    client_id: sales_bot
    allowed_tools:
      - list_allowed_tables
      - describe_table
    allowed_domains:
      - sales
    rate_limit: "50/minute"

Permission Checks

• Tool permission: user + client must both allow the tool
• Domain permission: user + client must both allow the domain
• Rate limit: stricter limit between user and client applies

Evaluation Framework (P6)

Golden dataset for evaluating Agent query accuracy.

Evaluation Dimensions

Golden Dataset

Located at config/evaluation/golden_dataset.yaml:

test_cases:
  - id: sales_001
    question: "2026年3月华南区发货金额是多少？"
    domain: sales
    expected_tables:
      - saky_dw_ods.ods_sap_delivery_order_details_df
    expected_metrics:
      - delivery_amount
    required_filters:
      - field: region_code
        value: "华南"
    forbidden_behavior:
      - full_table_scan
    should_be_blocked: false

Running Evaluation

Use the Evaluator service to run evaluations:

from odps_mcp_server.evaluator import Evaluator, load_evaluation_config

config = load_evaluation_config("config/evaluation/golden_dataset.yaml")
evaluator = Evaluator(config)

# Evaluate a plan
result = evaluator.evaluate_plan(
    test_id="sales_001",
    plan={"metrics": ["delivery_amount"], "tables": [...]},
    tables_used=["saky_dw_ods.ods_sap_delivery_order_details_df"],
    sql="SELECT ... LIMIT 100",
)

# Generate report
report = evaluator.generate_report()
print(f"Pass rate: {report.pass_rate:.2%}")

Evaluation Report

{
  "summary": {
    "total_cases": 11,
    "passed_cases": 9,
    "failed_cases": 2,
    "pass_rate": 0.8182
  },
  "dimension_scores": {
    "table_selection": 0.95,
    "metric_accuracy": 0.90,
    "partition_filter": 0.85,
    "permission_check": 1.0
  },
  "critical_failures": ["security_001", "cross_001"]
}

MCP Cockpit (P7)

Web-based admin console for managing the MCP Server.

Access

When running the server, access the cockpit at:

http://localhost:8000/admin

Features

Admin API

Screenshots

The cockpit provides:

• Dashboard: Real-time server status, component health, query statistics
• Domain Management: View business domains, owners, and table/metric counts
• Table Management: Browse table permissions, sensitivity levels, column restrictions
• Metric Management: View metric definitions, expressions, dimensions
• Join Management: Review approved and candidate join paths
• Audit: Search and filter query audit logs
• Evaluation: View and run golden dataset test cases

Tool Response Structure

All tools return a unified response format:

{
  "ok": true,
  "data": { ... },
  "error": null,
  "metadata": {
    "request_id": "uuid",
    "tool_name": "describe_table",
    "timestamp": "2026-05-07T15:30:00Z",
    "latency_ms": 45.2,
    "tables_used": ["saky_dw_cdm.dim_pub_product_df"],
    "columns_used": ["item_code", "standard_name"],
    "row_count": 1,
    "truncated": false
  },
  "audit_id": "uuid"
}

Authentication

Bearer Token

Include the token in the Authorization header:

curl -H "Authorization: Bearer agent-sales-001" \
  http://localhost:8000/mcp \
  -d '{"tool": "list_allowed_tables"}'

Gateway Header

When behind an API gateway, the gateway can inject identity headers:

curl -H "X-User-Id: sales_agent" \
  -H "X-Client-Id: sales_bot" \
  -H "X-Session-Id: session-xxx" \
  http://localhost:8000/mcp \
  -d '{"tool": "list_allowed_tables"}'

Token Configuration

Define tokens in config/auth.yaml:

tokens:
  agent-sales-001:
    user_id: sales_agent
    client_id: sales_bot
    allowed_tools:
      - list_allowed_tables
      - describe_table
      - preview_table
    allowed_projects:
      - saky_dw_ods
      - saky_dw_cdm
    rate_limit: "100/minute"

Policy Configuration

Policy Registry (config/policy.yaml) - Recommended

The Policy Registry provides enterprise-grade policy management with:

• Domain-based organization: Group tables by business domain (sales, supply_chain, product)
• Sensitivity levels: public, internal, confidential, restricted
• Column-level control: allowed_columns and denied_columns
• Row-level policies: Role-based row filtering
• Partition filter requirements: Enforce partition predicates
• Per-table limits: Override global limit per table

domains:
  sales:
    name: 销售域
    owner: 销售运营部
    default_project: saky_dw_ods

tables:
  saky_dw_ods.ods_sap_delivery_order_details_df:
    domain: sales
    owner: supply_chain_data_owner
    sensitivity: internal
    default_partition:
      field: pt
      strategy: max_pt
    allowed_columns:
      - delivery_ord_code
      - product_code
      - sales_amount
      - pt
    denied_columns:
      - customer_phone
      - customer_address
    row_policies:
      - role: region_manager
        predicate: region_code IN (${user.region_codes})
    max_limit: 1000
    require_partition_filter: true

default_limit: 100
max_limit: 200

security:
  deny_unapproved_join: true
  max_join_tables: 3
  query_timeout_seconds: 300

Legacy Allowlist (config/allowlist.yaml)

Simple table/column whitelist for basic use cases: saky_dw_cdm: tables: dim_pub_product_df: {} # Allow all columns saky_dw_ods: tables: ods_sap_delivery_order_details_df: allowed_columns: # Column-level restriction - delivery_ord_code - product_code - sales_amount - pt

default_limit: 100 max_limit: 200

### Join Catalog (`config/ai_catalog/joins.yaml`)

Pre-approved table join relationships:

```yaml
joins:
  - id: ods_delivery_to_dim_product
    left_table: saky_dw_ods.ods_sap_delivery_order_details_df
    right_table: saky_dw_cdm.dim_pub_product_df
    business_purpose: 为交货单明细补齐产品主数据属性
    approved: true
    confidence: high
    cardinality: N:1
    on:
      - left_field: product_code
        right_field: item_code
    example_sql: |
      SELECT o.delivery_ord_code, p.standard_name
      FROM saky_dw_ods.ods_sap_delivery_order_details_df o
      LEFT JOIN saky_dw_cdm.dim_pub_product_df p
        ON o.product_code = p.item_code
      WHERE o.pt = MAX_PT("saky_dw_ods.ods_sap_delivery_order_details_df")
      LIMIT 100;

Audit Logging

Audit logs are written to logs/audit.jsonl in JSONL format, rotated daily.

Each record contains:

{
  "audit_id": "uuid",
  "request_id": "uuid",
  "timestamp": "2026-05-07T15:30:00.123Z",
  "user_id": "sales_agent",
  "client_id": "sales_bot",
  "session_id": "session-xxx",
  "source_ip": "10.0.1.55",
  "auth_method": "bearer_token",
  "token_id": "agent-sales-001",
  "tool_name": "run_select_sql",
  "outcome": "success",
  "latency_ms": 234.5,
  "request_params": {
    "project": "saky_dw_ods",
    "sql": "SELECT ..."
  },
  "response_summary": {
    "tables_used": ["saky_dw_ods.ods_sap_delivery_order_details_df"],
    "columns_used": ["delivery_ord_code", "sales_amount"],
    "row_count": 15,
    "truncated": false
  },
  "policy_decision": "allowed",
  "deny_reason": null,
  "error_code": null,
  "error_message": null
}

Error Codes

Project Structure

数仓MCP/
├── src/odps_mcp_server/
│   ├── __init__.py          # Package version
│   ├── __main__.py          # Entry point
│   ├── server.py            # MCP server and ASGI app
│   ├── service.py           # Query service (business logic)
│   ├── config.py            # Configuration models
│   ├── policy.py            # Policy service (access control)
│   ├── odps_client.py       # MaxCompute client wrapper
│   ├── sql_guard.py         # SQL validation (sqlglot)
│   ├── auth.py              # Authentication module
│   ├── context.py           # Request context
│   ├── audit.py             # Audit logging
│   ├── response.py          # Unified response builder
│   ├── middleware.py         # Starlette middleware
│   ├── errors.py            # Error codes
│   └── logging_utils.py     # Logging utilities
├── config/
│   ├── allowlist.yaml       # Table access policy
│   ├── auth.yaml            # Token configuration
│   ├── security.yaml        # Origin/Host whitelist
│   └── ai_catalog/          # Table metadata and join paths
├── tests/                   # Unit tests
├── scripts/                 # Utility scripts
├── docs/                    # Documentation
├── .env.example             # Environment variables template
├── .env.local               # Local config (git-ignored)
└── pyproject.toml           # Project metadata

Manual Smoke Test

python scripts/manual_smoke_test.py list-tables --project saky_dw_ods
python scripts/manual_smoke_test.py describe-table --project saky_dw_cdm --table dim_pub_product_df
python scripts/manual_smoke_test.py run-sql --project saky_dw_ods --sql "SELECT delivery_ord_code FROM saky_dw_ods.ods_sap_delivery_order_details_df LIMIT 10"

Security Notes

• Never commit .env.local or files containing credentials
• Review config/allowlist.yaml before production deployment
• Enable authentication (MCP_REQUIRE_AUTH=true) for production
• Monitor logs/audit.jsonl for suspicious activity
• Rotate Bearer tokens periodically