AWS AgentCore MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| quickstartB | Quickstart documentation for AWS AgentCore SDK. |
| agentcore_identityC | Documentation on AgentCore Identity for secure agent authentication and authorization. |
| agentcore_gatewayC | Documentation on AgentCore Gateway for integrating external APIs and services. |
| agentcore_observabilityC | Documentation on AgentCore Observability for monitoring and debugging agents. |
| agentcore_code_interpreterC | Documentation on AgentCore Code Interpreter for executing code in agents. |
| agentcore_memoryC | Documentation on AgentCore Memory for building context-aware agents. |
| agentcore_toolsC | Documentation on integrating tools with AWS AgentCore agents. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose targeting different components of the AWS AgentCore platform (code interpretation, gateway integration, identity management, memory, observability, tool integration, and quickstart). There is no overlap in functionality, making it easy for an agent to select the appropriate tool.
Six of the seven tools follow a consistent 'agentcore_' prefix pattern with descriptive suffixes (e.g., agentcore_code_interpreter, agentcore_memory), which is highly predictable. The outlier 'quickstart' deviates slightly by omitting the prefix, but it remains readable and contextually appropriate.
With 7 tools, this server is well-scoped for its purpose of documenting AWS AgentCore components. Each tool covers a distinct aspect of the platform, and the count is neither too sparse nor overwhelming, allowing comprehensive coverage without redundancy.
The tool set provides thorough documentation coverage for core AWS AgentCore features, including development, integration, security, and monitoring. A minor gap exists in not explicitly covering deployment or scaling operations, but agents can likely work around this given the comprehensive foundational coverage.