Search Results
No matching terms found. Try another query.
A
Actions
The invocation of one
or more MCP tools by an AI agent to accomplish a specific task.
Agentic
AI
A concept in AI where
intelligent programs can autonomously pursue goals and take actions.
AI
Interoperability
Advanced capabilities
in Large Language Models to interact with external tools and systems via protocols like
MCP.
Air-Gapped
MCP
A high-security
deployment pattern where MCP servers operate on a network completely isolated from the
public internet.
Annotations
A set of common fields
that MCP entities (like tools or resources) can include to assist the AI model.
API
(Application Programming Interface)
An interface that
allows software components to communicate, standardized by MCP for AI-to-System
interaction.
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
The process of
verifying a client's identity and permissions before allowing access to an MCP server's
tools.
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
Standard capabilities
that both MCP clients and servers support, such as notifications or
subscriptions.
Capability
Negotiation
The protocol-level
negotiation between a client and server to agree on common features.
Client
(MCP Client)
An AI application or
agent that connects to MCP servers to discover and use tools and resources.
Client
Info
Metadata about the AI
application (host) that is shared with the MCP server during initialization.
Command
Line Arguments
Parameters passed to an
MCP server process during startup to configure its behavior.
Communication
Protocol
A JSON-RPC 2.0 based
protocol used for exchanging messages between MCP clients and servers.
Context
The set of information
(historical, environment, or data-driven) that informs an AI model's response.
Context
Window
The working memory of a
Large Language Model, which MCP helps optimize by pruning unnecessary data.
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
The practice of
attaching additional descriptors to data to help AI models understand and utilize
information effectively.
Create-MCP-Server
A tool that simplifies
the creation and initialization of new MCP server projects.
Cursor
An opaque string used
in MCP pagination to reference a specific point in a paginated result set.
D
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
G
H
I
Idempotency
The property of an MCP
operation where performing it multiple times with the same parameters has the same
effect as performing it once.
Inspector
(MCP Inspector)
An Anthropic
development tool used to test and debug MCP server implementations.
Introspection
The process of an AI
client discovering available tools and capabilities from an MCP server.
J
JMESPath
Pruning
A high-performance JSON
query language used by HasMCP to optimize LLM context by stripping unnecessary response
fields.
JSON
Schema
A JSON-based standard
used by MCP to define the structure of input arguments for tools.
JSON-RPC
2.0
A lightweight,
text-based remote procedure call protocol used by MCP for client-server
communication.
L
Lifecycle
A state where an MCP
server is actively waiting for and processing requests from a client.
Local
Server
An MCP server that runs
on the user's local machine, often communicating via standard input/output
(stdio).
Logging
(MCP Logging)
The ability for an MCP
server to send real-time logs and status messages back to the client for
auditing.
.
M
Max
Tokens
A parameter that limits
the length of the AI model's response by capping the number of generated tokens.
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
The ability to bridge
multiple discrete MCP servers into a unified, intelligent API mesh for complex
multi-agent reasoning.
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
Visual metadata
provided by MCP servers to help clients display and identify them in user
interfaces.
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
Comprehensive
observability for MCP servers in HasMCP, including live tool-call logging and usage
metrics.
MCP
Tracing
The capturing and
analysis of the path of a request through an MCP system to debug performance and
reliability.
Model
Context Protocol (MCP)
An Anthropic-developed
open standard for integrating AI systems with external data and tools.
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
A mechanism in MCP that
allows clients to request large result sets in smaller, manageable chunks.
PII
Masking
A privacy-first feature
in HasMCP that automatically redacts sensitive info from API responses before they reach
the AI model.
Prompt
Injection Protection
Security measures
designed to prevent malicious actors from subverting an AI's instructions through
carefully crafted inputs to MCP servers.
Prompts
(MCP Prompts)
Pre-structured
templates designed to assist AI agents in handling specific user queries or
scenarios.
Protocol
Extensions
Custom additions to the
core Model Context Protocol that allow for specialized data types or communication
patterns.
Protocol
Versioning
The state of a client
and server agreeing on a common version of the MCP protocol during the handshake.
Provider
An external software
service or API that an MCP tool connects to (e.g., Salesforce, Slack, GitHub).
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
A feature allowing an
MCP server to notify clients when the content or availability of a resource
changes.
Resource
Template
A parameterized URI
definition in MCP used to dynamically generate resource identifiers.
Resource
URI
A unique identifier for
an MCP resource, following the standard Uniform Resource Identifier format.
Resources
(MCP Resources)
Static data objects,
such as files or database records, that provide raw context to an AI agent.
Roots
The set of directories
or files that a client grants an MCP server permission to access.
S
Sampling
(Server-Initiated)
A specialized MCP
capability where a server can request the client's model to complete a completion or
generate text.
Schema
Generation
The automated creation
of JSON schemas from code or data models to define MCP tool arguments and resource
types.
SDKs
(MCP SDKs)
Software development
kits provided for various languages to help developers build and integrate with
MCP.
Server
(MCP Server)
A service that
implements the MCP protocol to expose callable tools and resources to AI clients.
Server
ID
An identifying string
that uniquely represents an MCP server within a client's environment.
Server
Info
Metadata about the MCP
server that is shared with the client during the protocol handshake.
SSE
(Server-Sent Events)
A server-side push
technology allowing an MCP server to stream events and logs to a client over
HTTP.
Stdio
(Standard I/O)
The standard input and
output streams used by MCP for communication between local clients and servers.
Stop
Sequences
Specific character
sequences that signal an AI model to stop generating further text.
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
A standardized naming
convention for MCP tools to ensure clarity, readability, and avoid collisions between servers.
Tool
Notifications
Standard behavior for
an MCP server to notify clients when its set of available tools has changed.
Tool
Selection
A process where an LLM
identifies and executes the most appropriate tool to answer a user's query.
Tools
(MCP Tools)
Specific granular
operations or functions that an AI agent can perform through an MCP server.
Transport
The underlying
communication layer (e.g., SSE, stdio) that carries MCP messages between clients and
servers.
U
URI
Templates
A standardized way for
MCP servers to define flexible URIs with placeholders for dynamic data.
User
Approval
The security model in
MCP where the user must explicitly approve sensitive actions like tool execution.
User
Message
A message in an AI
conversation that represents input or instructions from the human user.
User-in-the-Loop
A critical safety
pattern where the AI agent must obtain explicit human permission before executing
high-risk tool calls.