Model Context Protocol Server

MCPOpen Source18.2

by Techiral • APIs & Integration

An open protocol standardizing AI applications' connection to data sources.

Example Use Cases

1
Execute system commands in isolated workspaces
2
Manage and access local files and databases
3
Integrate AI models with web APIs and cloud services

Description

The Model Context Protocol (MCP) facilitates seamless integration between AI models and diverse data sources or tools, akin to a universal interface for AI applications. It provides pre-built integrations, supports switching between different LLM providers, and ensures secure data handling. MCP's architecture includes clients, servers, and hosts that work together to manage and execute system commands, file operations, and memory storage.

Capabilities(9 total)

Tools (9)

create_entities

Create multiple new entities in the knowledge graph

entities:array*

create_relations

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice

relations:array*

add_observations

Add new observations to existing entities in the knowledge graph

observations:array*

delete_entities

Delete multiple entities and their associated relations from the knowledge graph

entityNames:array*

delete_observations

Delete specific observations from entities in the knowledge graph

deletions:array*

Quick Actions

View on GitHub

Security

Scanned 2 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

C51/100

5/17 checks passed

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Quick Stats

Service TypeMCP

Pricing ModelUnknown

Capabilities9 Tools / 0 Prompts / 0 Resources

OwnerTechiral

CategoryAPIs & Integration

DependenciesStandalone

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