amazon-redshift-mcp-server-by-cdata

Provides a local MCP (Model Context Protocol) server that wraps the CData JDBC Driver for Amazon Redshift, exposing database metadata (tables/columns) and query execution via MCP tools so an LLM client can retrieve Redshift data (README describes read-only as the project’s intent).

Evaluated Apr 04, 2026 (16d ago)
Repo ↗ Ai Ml mcp amazon-redshift jdbc data-access llm-integration local-stdio
⚙ Agent Friendliness
50
/ 100
Can an agent use this?
🔒 Security
50
/ 100
Is it safe for agents?
⚡ Reliability
19
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
78
Documentation
70
Error Messages
0
Auth Simplicity
55
Rate Limits
0

🔒 Security

TLS Enforcement
80
Auth Strength
60
Scope Granularity
20
Dep. Hygiene
45
Secret Handling
40

Strengths: The connection to Redshift is via the CData JDBC driver and the setup mentions OAuth as an option, suggesting use of established auth flows at the driver layer. Weaknesses/unknowns: The MCP server itself is local-stdio and does not describe TLS termination (transport is stdio, not a network API), server-side auth, request authorization, or audit logging. Scope granularity is not described (no fine-grained MCP scopes). Secrets/connection strings are stored in a local .prp file (plaintext on disk); the README does not describe secure secret handling or redaction. SQL is executed through a generic run_query tool; unless the driver/MCP layer restricts non-SELECT, there is risk from prompt-generated SQL. Dependency hygiene and vulnerability posture are not evidenced in the provided content.

⚡ Reliability

Uptime/SLA
0
Version Stability
45
Breaking Changes
0
Error Recovery
30
AF Security Reliability

Best When

You want a local, developer-controlled MCP integration to let an LLM explore and run SELECT queries against Redshift over stdio on the same machine.

Avoid When

You need network-accessible API endpoints, fine-grained API authorization managed by the MCP server, or you cannot control what SQL the LLM/client may generate.

Use Cases

  • Use an AI desktop client (e.g., Claude Desktop) to query live Amazon Redshift data without writing SQL
  • Table/column discovery for Redshift schemas via MCP tools
  • Ad-hoc read-only analytics questions against Redshift using the MCP tool interface

Not For

  • Public/hosted multi-tenant deployment (README indicates stdio/local-only usage)
  • Environments that require robust server-side auth, rate limiting, or audit logging from this MCP server itself
  • Use cases requiring guaranteed safety against unintended broad SQL queries (client issues run_query tool)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: CData JDBC driver authentication mechanisms (including OAuth when specified by JdbcUrl/connection string)
OAuth: Yes Scopes: No

The README describes that OAuth may be required depending on the data source and that the JDBC connection string (e.g., JdbcUrl with InitiateOAuth=GETANDREFRESH) is placed into a local .prp config used by the MCP server. MCP server-level scopes are not described.

Pricing

Free tier: No
Requires CC: No

No pricing details for the MCP server are provided in the README; the driver license is required.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Server uses stdio and therefore only works with clients running on the same machine (per README).
  • The tools allow SQL SELECT execution via a run_query tool; LLMs may generate overly broad or expensive queries unless constrained.
  • The README does not document pagination/limits; large result sets may be truncated or expensive depending on driver/client behavior.
  • Tool outputs are described as CSV for tables/columns; agents should handle CSV parsing correctly.

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Scores are editorial opinions as of 2026-04-04.

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