Datadog MCP Server
by i524
The Datadog MCP Server enables AI assistants to directly search and analyze Datadog logs. This integration allows querying Datadog logs using natural language, improving troubleshooting and log analysis efficiency.
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What is Datadog MCP Server?
A Model Context Protocol (MCP) server that allows AI assistants to query and analyze Datadog logs using natural language.
How to use Datadog MCP Server?
Configure the MCP server in your AI assistant's settings file, providing Datadog API and Application keys. Use the 'search-logs' tool with parameters like 'filterQuery', 'filterFrom', 'filterTo', and 'cursor' to search logs based on specific criteria and time ranges.
Key features of Datadog MCP Server
Log Searching with flexible query parameters
Time-Based Filtering
Pagination Support
Metrics retrieval functionality (Coming Soon)
Use cases of Datadog MCP Server
Troubleshooting application errors using natural language queries
Analyzing log data to identify performance bottlenecks
Monitoring system health and security events
Automating log analysis tasks with AI assistants
FAQ from Datadog MCP Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a protocol that enables AI assistants to interact with external tools and services.
What Datadog permissions are required?
What Datadog permissions are required?
The Datadog API and Application keys need to have sufficient permissions to access and search logs.
Does this support SSE transport?
Does this support SSE transport?
No, this MCP server only supports stdio transport. SSE transport is not supported.
Where can I find more information about Datadog Log Search Syntax?
Where can I find more information about Datadog Log Search Syntax?
See the Datadog Log Search Syntax documentation: https://docs.datadoghq.com/logs/explorer/search_syntax/
What is the license for this project?
What is the license for this project?
This project is licensed under the MIT License.