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This repository offers reference implementations of Model Context Protocol (MCP) servers, showcasing secure and controlled access to various tools and data sources for LLMs.
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This repository offers reference implementations of Model Context Protocol (MCP) servers, showcasing secure and controlled access to various tools and data sources for LLMs.
The safety of using these servers depends heavily on the specific server and its configuration. Read-only servers are generally safe for experimentation. Servers with write capabilities should be carefully evaluated and sandboxed to prevent unintended consequences.
Performance characteristics vary depending on the server and the complexity of the task. Consider optimizing your prompts and data structures to improve performance.
Cost implications depend on the resources consumed by the server and any associated API calls. Monitor your usage to avoid unexpected costs.
npx -y{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-memory"]
}
}
}GITHUB_PERSONAL_ACCESS_TOKENFetchFetches web content and converts it for efficient LLM usage.
Primarily read operations, fetching and converting data.
FilesystemPerforms secure file operations with configurable access controls.
Involves file system access, but with configurable controls.
GitReads, searches, and manipulates Git repositories.
Can modify Git repositories, but with access controls.
TimeProvides time and timezone conversion capabilities.
Read-only access to time and timezone information.
MemoryManages a knowledge graph-based persistent memory system.
Involves writing to and reading from a knowledge graph.
Sequential ThinkingEnables dynamic and reflective problem-solving through thought sequences.
Focuses on problem-solving logic, minimal external interaction.
API Key
cloud
The safety of using these servers depends heavily on the specific server and its configuration. Read-only servers are generally safe for experimentation. Servers with write capabilities should be carefully evaluated and sandboxed to prevent unintended consequences.
Autonomy levels depend on the specific server and its configuration. Exercise caution when granting write access to any server.
Production Tip
Implement robust error handling and monitoring to ensure the stability and reliability of your MCP server integrations.
No, these servers are intended as reference implementations and are not suitable for production use without significant modifications and security hardening.
Carefully evaluate the security risks associated with each server and implement appropriate safeguards, such as access controls, sandboxing, and rate limiting.
You can contribute by submitting bug reports, feature requests, or pull requests with improvements to existing servers or new server implementations.
You can browse published servers on the MCP Registry: https://registry.modelcontextprotocol.io/.
Several SDKs are available, including C#, Go, Java, Kotlin, PHP, Python, Ruby, Rust, Swift, and TypeScript.
The Filesystem server provides configurable access controls that allow you to restrict access to specific files and directories. Refer to the server's documentation for details.
Yes, but you must take appropriate security measures to protect the data, such as encrypting the data at rest and in transit, and implementing strong access controls.