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A
Actions
The result of an AI agent successfully calling a tool to perform work.
Agentic AI
Intelligent programs that autonomously pursue goals and take actions.
AI Interoperability
Ability of AI systems and data sources to work together seamlessly.
Air-Gapped MCP
A high-security deployment pattern where MCP servers operate on a network completely
isolated from the public internet.
Annotations
Optional metadata fields to assist AI models in handling data.
API
A set of rules for software interaction, standardized by MCP for AI.
Assistant Message
A message generated by the AI model in response to a user prompt or tool
output.
Atomic Operations
Protocol operations that are guaranteed to either fully succeed or fully fail,
leaving no partial or inconsistent state.
Authentication
Verifying a client's identity before allowing tool or resource access.
Automatic Tool Calling
A mode where the AI application automatically determines when and how to call MCP
tools without needing a specific prompt for each step.
B
C
Caching (MCP)
The storage of previous MCP response data to speed up subsequent requests and reduce
token consumption.
Capabilities
Declared features that an MCP client or server support.
Capability Negotiation
Agreement on supported features during the handshake phase.
Client Info
Metadata provided by an MCP client during the handshake to identify itself and its
version.
Client
The AI application or agent connecting to an MCP server.
Command Line Arguments
Values passed to an MCP server at startup to configure its behavior and connection
parameters.
Communication Protocol
The JSON-RPC 2.0 based format for client-server messages.
Context
The surrounding information that informs an AI model's response.
Context Window
The working memory or total processing capacity of an LLM.
Context Window Management
The active management of available tokens in an AI's memory to ensure the most
relevant information is preserved.
Contextual Metadata Tagging
Attaching descriptors to resources for better model understanding.
Create-MCP-Server
A CLI utility for scaffolding new MCP server projects.
Cursor
An opaque string used in pagination to represent a pointer to the next set of
results.
G
Data Sovereignty
The right of an individual or organization to maintain control over the storage and
use of their data within MCP systems.
Docker MCP
A deployment pattern where MCP servers are packaged and executed inside Docker
containers.
Dynamic Schema
MCP tools or resources whose structure and available options change based on runtime
state or specific user context.
E
H
I
J
L
M
Max Tokens
The upper limit on the number of tokens an AI model can generate in a single
response.
Model Context Protocol (MCP)
An open standard for universal AI-to-system integration.
MCP Audit Log
A searchable, immutable record of every interaction between an MCP client and server
for security and compliance monitoring.
MCP Best Practices
Recommended architectural and implementation patterns to ensure high performance and
reliability in MCP systems.
MCP Bridge
A component that translates between the Model Context Protocol and other
communication standards or external APIs.
MCP Compliance
The adherence of an MCP implementation to security, privacy, and regulatory
standards.
MCP Composition
Unified API mesh bridging multiple MCP servers.
MCP Credential Rotation
The automated process of periodically changing the secrets (API keys, tokens) used
by MCP servers to access external services.
MCP Health Check
A period check performed by an MCP client to ensure a server is still running and
responsive.
MCP Hub
A centralized platform or repository for discovering, sharing, and managing MCP
servers.
MCP Icon
A visual representation of an MCP server, typically provided as a URL or a
base64-encoded string.
MCP Manifest
A configuration file that describes a server's identity, entry points, and required
permissions.
MCP Metadata
Additional descriptive data attached to MCP resources, tools, or prompts to provide
specialized context to clients.
MCP Middleware
A layer that sits between an MCP client and server to intercept, modify, or audit
protocol messages.
MCP on Lambda
Running MCP servers as serverless functions on AWS Lambda for infinite scalability
and zero-maintenance infrastructure.
MCP over VPN
Connecting a local MCP client to a remote MCP server through a Virtual Private
Network for secure, encrypted communication.
MCP Performance Tuning
Optimizing MCP server performance to reduce latency, token usage, and resource
consumption.
MCP Telemetry
Real-time observability and usage metrics for the agentic layer.
MCP Tracing
The capturing and analysis of the path of a request through an MCP system to debug
performance and reliability.
Model Preferences
Hints or requirements provided to an AI host regarding which specific model or model
family should be used for a task.
Multi-Server Orchestration
The management and coordination of multiple MCP servers by a single host application
to solve complex, cross-domain tasks.
O
P
Pagination
The process of dividing a large set of resources or tool results into smaller,
manageable chunks called pages.
PII Masking
Privacy feature that redacts sensitive info from API responses.
Prompts
Pre-defined templates offered by servers to guide models.
Prompt Injection Protection
Security measures designed to prevent malicious actors from subverting an AI's
instructions through carefully crafted inputs to MCP servers.
Protocol Extensions
Custom additions to the core Model Context Protocol that allow for specialized data
types or communication patterns.
Protocol Versioning
Negotiating a common protocol version for compatibility.
Provider
The underlying external API service (e.g., Salesforce, Slack).
R
Rate Limiting
A strategy used by MCP hosts or hubs to control the frequency of requests sent to a
server.
Recursive MCP
An advanced pattern where an MCP server acts as a client to another MCP server to
solve complex tasks.
Resource Notifications
Proactive updates when a resource's content changes.
Resource Template
A URI pattern provided by an MCP server that allows clients to resolve dynamic
resources with specific parameters.
Resource URI
A unique address identifying a specific piece of data.
Resources
Static data objects that provide context to an agent.
Roots
Base directories shared by a client with an MCP server.
S
Sampling
Server-initiated requests for model text generation.
Schema Generation
The automated creation of JSON schemas from code or data models to define MCP tool
arguments and resource types.
SDKs
Software development kits for easily building MCP servers.
Server Info
Details provided by an MCP server during the handshake including its name and
version.
Server ID
Unique identifier for a server configuration in a client.
Server
The bridge providing tools and context to AI clients.
SSE
HTTP-based streaming protocol for remote MCP servers.
Stdio
The standard OS streams used for local MCP transport.
Stop Sequences
Instructions provided to an AI model during sampling to halt generation when a
specific string is encountered.
System Prompt
The foundational instructions provided to an AI model to define its persona,
constraints, and operational guidelines.
T
Temperature
A parameter that controls the randomness of an AI model's output during
sampling.
Tool Choice
A control parameter that allows a user or developer to force the AI to use a
specific tool, no tool, or choose automatically.
Tool Naming Conventions
Patterns like action_noun for clear tool selection.
Tool Notifications
Real-time updates when a server's toolset changes.
Tool Selection
The AI model's process of choosing the best tool to call.
Tools
Granular, callable operations provided by an MCP server.
Transport
The communication layer carrying bytes (e.g., SSE, stdio).
U
URI Templates
Flexible URI patterns with placeholders for dynamic data.
User Approval
Security model requiring human consent for sensitive actions.
User-in-the-Loop
A critical safety pattern where the AI agent must obtain explicit human permission
before executing high-risk tool calls.
User Message
A message in an AI conversation that represents input or instructions from the human
user.