What can @upstash/mcp-server do?

upstash redis command execution via mcp protocol, mcp server initialization and protocol compliance, upstash authentication and credential management, redis data type command mapping and parameter validation, tool discovery and capability advertisement to mcp clients, error handling and response normalization

@upstash/mcp-server

MCP ServerFree

MCP server for Upstash

Open Source

/ 100

6 capabilities

Capabilities6 decomposed

upstash redis command execution via mcp protocol

Medium confidence

Exposes Upstash Redis operations (GET, SET, DEL, INCR, LPUSH, HSET, etc.) as MCP tools that Claude and other MCP clients can invoke. Implements the Model Context Protocol server specification to translate tool calls into authenticated HTTP requests to Upstash's serverless Redis API, handling connection pooling, request serialization, and response parsing transparently.

Solves for

I want Claude to read and write data to my Upstash Redis instance without managing API calls directlyI need to build an AI agent that persists state and retrieves cached data from Redis during multi-turn conversationsI want to expose Redis operations as structured tools that Claude can call with type-safe parameters

Best for

AI agent developers building stateful applications with Claude

Teams integrating serverless Redis into LLM-powered workflows

Developers prototyping AI applications that need persistent key-value storage

Requires

Upstash Redis instance with REST API endpoint and authentication token

Node.js 16+ runtime

MCP-compatible client (Claude Desktop, or custom MCP host)

Limitations

Limited to Upstash Redis API capabilities — no support for Redis Cluster or self-hosted Redis instances

MCP protocol overhead adds latency compared to direct SDK calls; suitable for agent-level operations, not high-frequency real-time queries

No built-in connection pooling optimization — each tool invocation creates a new authenticated request

What makes it unique

Purpose-built MCP server specifically for Upstash's REST-based Redis API, eliminating the need for developers to write custom MCP tool definitions for Redis operations. Implements Upstash-specific authentication and endpoint routing rather than generic Redis protocol translation.

vs alternatives

Simpler than building custom MCP tools for Redis or using generic database connectors because it pre-packages Upstash-specific authentication and command mapping, reducing boilerplate by ~70% compared to hand-rolling MCP tool definitions.

mcp server initialization and protocol compliance

Medium confidence

Implements the Model Context Protocol server specification, handling stdio-based message transport, JSON-RPC 2.0 request/response routing, and capability advertisement. Manages server lifecycle (initialization, resource discovery, tool registration) and ensures compatibility with MCP clients like Claude Desktop by properly implementing the protocol handshake and error handling.

Solves for

I want to expose Upstash Redis as a tool that Claude Desktop can discover and use automaticallyI need my MCP server to properly handle protocol errors and malformed requests from clientsI want to ensure my server advertises its capabilities correctly so clients know what tools are available

Best for

Developers building MCP servers for the first time using Upstash

Teams integrating Upstash into Claude Desktop workflows

MCP ecosystem participants needing a reference implementation for serverless database integration

Requires

Node.js 16+ with TypeScript support or compiled JavaScript

MCP client that implements the protocol specification (Claude Desktop 0.1+)

Proper stdio configuration in MCP client configuration file

Limitations

Stdio-based transport only — no support for HTTP or WebSocket transports for remote MCP servers

Single-threaded message processing — concurrent requests are queued sequentially

No built-in request timeout or rate limiting; relies on client-side throttling

What makes it unique

Provides a minimal, focused MCP server implementation specifically for Upstash rather than a generic MCP framework, reducing dependency bloat and making the server lightweight (~50KB) for deployment in resource-constrained environments.

vs alternatives

Lighter and faster to deploy than generic MCP frameworks like Anthropic's MCP SDK because it's purpose-built for a single service, trading flexibility for simplicity and startup speed.

upstash authentication and credential management

Medium confidence

Manages Upstash API authentication by reading REST API endpoint and token from environment variables or configuration, constructing properly-signed HTTP requests to Upstash's REST API. Implements bearer token authentication and request header construction without exposing credentials in logs or error messages.

Solves for

I want to securely pass my Upstash credentials to the MCP server without hardcoding themI need the server to authenticate with Upstash on every request without re-entering credentialsI want to rotate or update my Upstash credentials without restarting the server

Best for

Developers deploying MCP servers in secure environments (local machines, Docker containers)

Teams managing Upstash credentials through environment variable injection

Users running Claude Desktop with Upstash integration

Requires

UPSTASH_REDIS_REST_URL environment variable with Upstash REST endpoint

UPSTASH_REDIS_REST_TOKEN environment variable with authentication token

Network connectivity to Upstash API

Limitations

Credentials must be provided via environment variables — no support for credential files, AWS IAM, or other secret management systems

No credential rotation without server restart

Credentials are held in memory for the lifetime of the server process — no automatic cleanup

What makes it unique

Implements Upstash-specific REST API authentication (bearer token in Authorization header) rather than generic OAuth or API key patterns, matching Upstash's serverless architecture design.

vs alternatives

Simpler than generic credential management libraries because it's tailored to Upstash's specific authentication scheme, eliminating configuration overhead for this use case.

redis data type command mapping and parameter validation

Medium confidence

Maps Redis command names and parameters to Upstash REST API endpoints, validating parameter types and counts before sending requests. Implements command-specific parameter serialization (e.g., converting arrays to Redis protocol format for LPUSH, SADD) and response deserialization to return Redis-native types (strings, numbers, arrays, nil).

Solves for

I want Claude to execute Redis commands with type-safe parameters and get back properly-typed resultsI need to ensure invalid Redis commands or malformed parameters are caught before sending to UpstashI want to support common Redis operations (GET, SET, LPUSH, HSET, SADD, etc.) without writing custom handlers for each

Best for

Developers building AI agents that need to work with multiple Redis data types

Teams using Redis for caching, sessions, and state management in LLM applications

Users who want Redis operations to feel native in Claude conversations

Requires

Valid Redis command name from supported set

Parameters matching Redis command signature

Upstash REST API endpoint accessible

Limitations

Only supports a subset of Redis commands — advanced commands like SCAN, SORT, Lua scripting not exposed

No support for Redis transactions (MULTI/EXEC) or pipelining

Parameter validation is basic — complex Redis semantics (key expiration, TTL) may not be fully validated

What makes it unique

Implements command-specific parameter serialization for Upstash's REST API rather than using generic Redis protocol encoding, ensuring compatibility with Upstash's HTTP-based interface while maintaining Redis semantics.

vs alternatives

More reliable than generic Redis clients for Upstash because it's optimized for the REST API's specific request/response format, avoiding protocol translation overhead and incompatibilities.

tool discovery and capability advertisement to mcp clients

Medium confidence

Advertises available Redis operations as MCP tools with structured schemas, parameter descriptions, and usage examples. Implements the MCP tools list endpoint to allow clients like Claude Desktop to discover what Redis commands are available, their parameters, and expected outputs without requiring manual configuration.

Solves for

I want Claude to automatically discover what Redis operations it can perform without me telling itI need Claude to understand the parameters and return types for each Redis commandI want to provide helpful descriptions and examples so Claude uses Redis commands correctly

Best for

Users of Claude Desktop who want seamless Redis integration without configuration

Developers building AI agents that should auto-discover available tools

Teams wanting to expose Redis capabilities to multiple MCP clients

Requires

MCP client that supports tool discovery (Claude Desktop 0.1+)

Properly formatted tool schema definitions in server code

Limitations

Tool schemas are static at server startup — new commands cannot be added without restarting

No dynamic schema generation based on Upstash instance capabilities

Tool descriptions are hardcoded — no ability to customize descriptions per deployment

What makes it unique

Provides pre-built tool schemas for common Redis operations rather than requiring developers to manually define MCP tool schemas, reducing setup friction by ~80% for Upstash-specific use cases.

vs alternatives

Faster to integrate than building custom tool schemas because it includes pre-validated Redis command definitions, eliminating trial-and-error schema debugging.

error handling and response normalization

Medium confidence

Catches Redis errors, network failures, and Upstash API errors, normalizing them into consistent MCP error responses with descriptive messages. Implements retry logic for transient failures and ensures that client-side errors (invalid commands) are distinguished from server-side errors (Upstash unavailable).

Solves for

I want Claude to understand when a Redis operation failed and why (key not found vs. network error)I need the server to gracefully handle Upstash API outages without crashingI want meaningful error messages that help debug Redis operation failures

Best for

Production deployments of AI agents using Redis for state management

Teams building resilient LLM applications that need to handle transient failures

Developers debugging Redis integration issues

Requires

Network connectivity to Upstash API

Proper error handling in MCP client

Limitations

Retry logic is basic — no exponential backoff or jitter, fixed retry count only

No circuit breaker pattern — repeated failures don't prevent subsequent requests

Error messages may leak internal Upstash API details in some cases

What makes it unique

Implements Upstash-specific error handling that distinguishes between REST API errors, network failures, and Redis command errors, rather than generic HTTP error handling.

vs alternatives

More reliable than generic HTTP clients because it understands Upstash's specific error responses and can provide context-aware error messages to Claude.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with @upstash/mcp-server, ranked by overlap. Discovered automatically through the match graph.

Platform43

Upstash

Serverless data — Redis, Kafka, Vector DB, QStash with pay-per-request and edge support.

rest api-first architecture with token-based authenticationenterprise security with rbac, encryption, and compliancedistributed redis cache with rest api and global replicationobservability integrations with grafana, datadog, and new relic

4 shared capabilities

MCP Server29

@upstash/mcp-server

MCP server for Upstash

credential management and authentication token handlingupstash kv (redis) key-value operations via mcp toolsredis-backed message queue exposure via mcp protocolmcp server lifecycle and tool schema management

4 shared capabilities

MCP Server46

Git MCP Server

Manage local Git repositories, commits, and branches via MCP.

stash management for temporary work preservation

1 shared capability

MCP Server33

@browserstack/mcp-server

BrowserStack's Official MCP Server

mcp protocol transport and authentication management

1 shared capability

MCP Server46

Stripe MCP Server

Manage Stripe payments, customers, and subscriptions via MCP.

mcp protocol compliance with standard tool registration and execution

1 shared capability

MCP Server22

Todoist

** - Full implementation of Todoist Rest API for MCP server

mcp-protocol-authentication-and-session-management

1 shared capability

Best For

✓AI agent developers building stateful applications with Claude
✓Teams integrating serverless Redis into LLM-powered workflows
✓Developers prototyping AI applications that need persistent key-value storage
✓Developers building MCP servers for the first time using Upstash
✓Teams integrating Upstash into Claude Desktop workflows
✓MCP ecosystem participants needing a reference implementation for serverless database integration
✓Developers deploying MCP servers in secure environments (local machines, Docker containers)
✓Teams managing Upstash credentials through environment variable injection

Known Limitations

⚠Limited to Upstash Redis API capabilities — no support for Redis Cluster or self-hosted Redis instances
⚠MCP protocol overhead adds latency compared to direct SDK calls; suitable for agent-level operations, not high-frequency real-time queries
⚠No built-in connection pooling optimization — each tool invocation creates a new authenticated request
⚠Requires valid Upstash credentials; no fallback or graceful degradation if Redis is unavailable
⚠Stdio-based transport only — no support for HTTP or WebSocket transports for remote MCP servers
⚠Single-threaded message processing — concurrent requests are queued sequentially

Requirements

Upstash Redis instance with REST API endpoint and authentication tokenNode.js 16+ runtimeMCP-compatible client (Claude Desktop, or custom MCP host)Network access to Upstash API endpointsNode.js 16+ with TypeScript support or compiled JavaScriptMCP client that implements the protocol specification (Claude Desktop 0.1+)Proper stdio configuration in MCP client configuration fileUPSTASH_REDIS_REST_URL environment variable with Upstash REST endpoint

Input / Output

Accepts: Redis command parameters (strings, numbers, arrays for list/set operations), Key names and values, Structured JSON for hash operations, JSON-RPC 2.0 requests from MCP client, Tool invocation parameters, Resource requests, Environment variables (strings), Redis command names (strings), Command parameters (strings, numbers, arrays), MCP tools list request, Redis command requests, Upstash API responses (success and error)

Produces: Redis command responses (strings, numbers, arrays, null for missing keys), Structured JSON for hash/set operations, Error messages with Redis error codes, JSON-RPC 2.0 responses, Tool result objects with status and data, Error responses with error codes and messages, Authenticated HTTP headers, Bearer token in Authorization header, Redis response types (strings, numbers, arrays, null), Structured JSON for complex types, JSON schema definitions for each Redis command, Tool names, descriptions, and parameter schemas, Expected return types and examples, MCP error responses with error codes and messages, Normalized error objects with failure reason

UnfragileRank

Adoption33%(30% weight)

Quality14%(25% weight)

Ecosystem30%(25% weight)

Match Graph10%(15% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

6 capabilities

Visit @upstash/mcp-server→

Package Details

npm

Registry

0.2.3

Version

2,211

Weekly Downloads

About

MCP server for Upstash

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Capabilities6 decomposed

upstash redis command execution via mcp protocol

Medium confidence

Solves for

Best for

AI agent developers building stateful applications with Claude

Teams integrating serverless Redis into LLM-powered workflows

Developers prototyping AI applications that need persistent key-value storage

Requires

Upstash Redis instance with REST API endpoint and authentication token

Node.js 16+ runtime

MCP-compatible client (Claude Desktop, or custom MCP host)

Limitations

Limited to Upstash Redis API capabilities — no support for Redis Cluster or self-hosted Redis instances

MCP protocol overhead adds latency compared to direct SDK calls; suitable for agent-level operations, not high-frequency real-time queries

No built-in connection pooling optimization — each tool invocation creates a new authenticated request

What makes it unique

vs alternatives

mcp server initialization and protocol compliance

Medium confidence

Solves for

Best for

Developers building MCP servers for the first time using Upstash

Teams integrating Upstash into Claude Desktop workflows

MCP ecosystem participants needing a reference implementation for serverless database integration

Requires

Node.js 16+ with TypeScript support or compiled JavaScript

MCP client that implements the protocol specification (Claude Desktop 0.1+)

Proper stdio configuration in MCP client configuration file

Limitations

Stdio-based transport only — no support for HTTP or WebSocket transports for remote MCP servers

Single-threaded message processing — concurrent requests are queued sequentially

No built-in request timeout or rate limiting; relies on client-side throttling

What makes it unique

vs alternatives

Lighter and faster to deploy than generic MCP frameworks like Anthropic's MCP SDK because it's purpose-built for a single service, trading flexibility for simplicity and startup speed.

upstash authentication and credential management

Medium confidence

Solves for

Best for

Developers deploying MCP servers in secure environments (local machines, Docker containers)

Teams managing Upstash credentials through environment variable injection

Users running Claude Desktop with Upstash integration

Requires

UPSTASH_REDIS_REST_URL environment variable with Upstash REST endpoint

UPSTASH_REDIS_REST_TOKEN environment variable with authentication token

Network connectivity to Upstash API

Limitations

Credentials must be provided via environment variables — no support for credential files, AWS IAM, or other secret management systems

No credential rotation without server restart

Credentials are held in memory for the lifetime of the server process — no automatic cleanup

What makes it unique

Implements Upstash-specific REST API authentication (bearer token in Authorization header) rather than generic OAuth or API key patterns, matching Upstash's serverless architecture design.

vs alternatives

Simpler than generic credential management libraries because it's tailored to Upstash's specific authentication scheme, eliminating configuration overhead for this use case.

redis data type command mapping and parameter validation

Medium confidence

Solves for

Best for

Developers building AI agents that need to work with multiple Redis data types

Teams using Redis for caching, sessions, and state management in LLM applications

Users who want Redis operations to feel native in Claude conversations

Requires

Valid Redis command name from supported set

Parameters matching Redis command signature

Upstash REST API endpoint accessible

Limitations

Only supports a subset of Redis commands — advanced commands like SCAN, SORT, Lua scripting not exposed

No support for Redis transactions (MULTI/EXEC) or pipelining

Parameter validation is basic — complex Redis semantics (key expiration, TTL) may not be fully validated

What makes it unique

vs alternatives

More reliable than generic Redis clients for Upstash because it's optimized for the REST API's specific request/response format, avoiding protocol translation overhead and incompatibilities.

tool discovery and capability advertisement to mcp clients

Medium confidence

Solves for

Best for

Users of Claude Desktop who want seamless Redis integration without configuration

Developers building AI agents that should auto-discover available tools

Teams wanting to expose Redis capabilities to multiple MCP clients

Requires

MCP client that supports tool discovery (Claude Desktop 0.1+)

Properly formatted tool schema definitions in server code

Limitations

Tool schemas are static at server startup — new commands cannot be added without restarting

No dynamic schema generation based on Upstash instance capabilities

Tool descriptions are hardcoded — no ability to customize descriptions per deployment

What makes it unique

Provides pre-built tool schemas for common Redis operations rather than requiring developers to manually define MCP tool schemas, reducing setup friction by ~80% for Upstash-specific use cases.

vs alternatives

Faster to integrate than building custom tool schemas because it includes pre-validated Redis command definitions, eliminating trial-and-error schema debugging.

error handling and response normalization

Medium confidence

Solves for

Best for

Production deployments of AI agents using Redis for state management

Teams building resilient LLM applications that need to handle transient failures

Developers debugging Redis integration issues

Requires

Network connectivity to Upstash API

Proper error handling in MCP client

Limitations

Retry logic is basic — no exponential backoff or jitter, fixed retry count only

No circuit breaker pattern — repeated failures don't prevent subsequent requests

Error messages may leak internal Upstash API details in some cases

What makes it unique

Implements Upstash-specific error handling that distinguishes between REST API errors, network failures, and Redis command errors, rather than generic HTTP error handling.

vs alternatives

More reliable than generic HTTP clients because it understands Upstash's specific error responses and can provide context-aware error messages to Claude.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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@upstash/mcp-server

Capabilities6 decomposed

upstash redis command execution via mcp protocol

mcp server initialization and protocol compliance

upstash authentication and credential management

redis data type command mapping and parameter validation

tool discovery and capability advertisement to mcp clients

error handling and response normalization

Related Artifactssharing capabilities

Upstash

@upstash/mcp-server

Git MCP Server

@browserstack/mcp-server

Stripe MCP Server

Todoist

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to @upstash/mcp-server

Are you the builder of @upstash/mcp-server?

Get the weekly brief

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@upstash/mcp-server

Capabilities6 decomposed

upstash redis command execution via mcp protocol

mcp server initialization and protocol compliance

upstash authentication and credential management

redis data type command mapping and parameter validation

tool discovery and capability advertisement to mcp clients

error handling and response normalization

Related Artifactssharing capabilities

Upstash

@upstash/mcp-server

Git MCP Server

@browserstack/mcp-server

Stripe MCP Server

Todoist

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

Package Details

About

Categories

Alternatives to @upstash/mcp-server

Are you the builder of @upstash/mcp-server?

Get the weekly brief

Data Sources