Logflare (Log Management Analytics) Connector for AI agents.
5 live capabilities
Query production logs and run SQL analytics in real time.
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Why people use Logflare (Log Management Analytics)
Logflare for Real-time Log Analysis and Troubleshooting
This Connector lets you stay in your flow. You just ask your agent to find the errors, and it handles the SQL and the retrieval. You get the answer in your chat window instantly, saving you from the constant tab-switching and manual data gathering.
What Vinkius changes
You get instant access to your log data through natural language instead of manual SQL.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Finding a production bug
A DevOps engineer asks the agent to find all 500 errors from the last 10 minutes.
- Real-world use case 02
Daily usage reporting
A data analyst asks for a summary of new signups today.
- Real-world use case 03
Live debugging
A developer sends a batch of test logs to a specific source using `ingest_logs_by_id` to see how the new feature handles edge cases.
Complete set · 5capabilities
The complete Logflare (Log Management Analytics) capability set.
These are the exact actions your AI can choose when you ask it to work with Logflare (Log Management Analytics).
01—03
3 capabilities in this set.
Part of 5 available through Logflare (Log Management Analytics).
- 01 Capability
Ingest logs by name
Send log events to a Logflare source using a human-readable name. This makes it easier to send logs to specific destinations using clear labels.
- 02 Capability
Management query
Execute an ad-hoc SQL query against your Logflare data, including a required timestamp filter. You can use this to find specific patterns or troubleshoot issues in your logs.
- 03 Capability
Query endpoint by id
Call a Logflare Endpoint by its UUID to retrieve data using a JSON object for parameters. This allows for precise data retrieval when you have a specific endpoint ID.
04—05
2 capabilities in this set.
Part of 5 available through Logflare (Log Management Analytics).
- 04 Capability
Query endpoint by name
Call a Logflare Endpoint by its name to get a structured analytical report with custom parameters. This helps you get specific data summaries without writing custom code.
- 05 Capability
Ingest logs by id
Send log events to a specific Logflare source using its unique UUID. This is useful for automated systems that need to route logs to specific buckets.
Set up in minutes
One URL. Then ask Logflare (Log Management Analytics) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Logflare (Log Management Analytics) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vSM9IZDkylvc37x5hEtMMSqMh2HqlPP3QUInZire/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Logflare (Log Management Analytics), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Logflare (Log Management Analytics) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vSM9IZDkylvc37x5hEtMMSqMh2HqlPP3QUInZire/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Logflare (Log Management Analytics) URL.
- Step 03
Save and start
Save the connection and enable Logflare (Log Management Analytics) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"logflare-log-management-analytics": {
"url": "https://edge.vinkius.com/vk_preview_vSM9IZDkylvc37x5hEtMMSqMh2HqlPP3QUInZire/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Logflare (Log Management Analytics)
Open Agent mode in chat and ask: "Using Logflare (Log Management Analytics), help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"logflare-log-management-analytics": {
"url": "https://edge.vinkius.com/vk_preview_vSM9IZDkylvc37x5hEtMMSqMh2HqlPP3QUInZire/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Logflare (Log Management Analytics)
Ask Copilot: "Using Logflare (Log Management Analytics), help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"logflare-log-management-analytics": {
"url": "https://edge.vinkius.com/vk_preview_vSM9IZDkylvc37x5hEtMMSqMh2HqlPP3QUInZire/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Logflare (Log Management Analytics)
Open Cascade and ask: "Using Logflare (Log Management Analytics), help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"logflare-log-management-analytics": {
"url": "https://edge.vinkius.com/vk_preview_vSM9IZDkylvc37x5hEtMMSqMh2HqlPP3QUInZire/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Logflare (Log Management Analytics)
Ask Cline: "Using Logflare (Log Management Analytics), help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add logflare-log-management-analytics --transport http "https://edge.vinkius.com/vk_preview_vSM9IZDkylvc37x5hEtMMSqMh2HqlPP3QUInZire/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Logflare (Log Management Analytics)
Ask Claude: "Using Logflare (Log Management Analytics), show me...". 5 tools are ready
Where the request belongs
Work Logflare can move forward.
This is for the engineers and analysts who are tired of digging through messy logs or waiting for manual reports. It is for anyone who needs to see what is happening in production right now.
DevOps Engineer
Troubleshoots production incidents by asking the agent to find specific error patterns in logs.
Data Analyst
Runs SQL queries to generate usage reports and performance metrics for stakeholders.
Backend Developer
Ingests and checks custom application logs during a debugging session to see real-time flow.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Papertrail (Real-time Cloud Log Manager)
Manage and analyze cloud logs in real-time via Papertrail. search events, list systems, and organize log groups directly from your AI agent.
Sumo Logic
Connect your AI to Sumo Logic. Orchestrate log searches, monitor active collectors, and analyze system events efficiently.
HyperDX (Open Source Observability)
Monitor logs, events, and alerts via HyperDX. search logs, manage alert rules, and inspect dashboards directly from your AI agent.
Coralogix
Manage observability, logs, and parsing rules via Coralogix. ingest logs, monitor SLOs, and control Grafana dashboards directly.
Bring your own AI
Change the model, client or framework. Keep Logflare connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Logflare.
The practical details behind the request, access and result.
Can I use the Logflare MCP to run SQL queries?
Yes, you can use it to run ad-hoc SQL queries against your data to find specific patterns or troubleshoot issues.
Does the Logflare MCP support BigQuery?
It allows you to execute queries against BigQuery-backed log storage using natural language.
Can I send logs to Logflare using this Connector?
You can ingest log events into specific sources using either a unique ID or a human-readable name.
How does the Logflare MCP help with reporting?
You can trigger pre-configured endpoints with custom parameters to get structured analytical reports.
Can I use this to monitor my app in real-time?
Yes, you can query your logs instantly to see the current status of your infrastructure.
Is the Logflare MCP good for DevOps?
It helps DevOps engineers identify the root cause of incidents faster by querying logs without leaving their workspace.
What are the requirements for running a management query?
You must provide a valid BigQuery SQL string. Crucially, Logflare requires a WHERE filter on the timestamp field to optimize the query. You can also optionally provide a PostgreSQL version of the query using the management_query capability.
Can I ingest logs using just the source name instead of a UUID?
Yes! You can use the ingest_logs_by_name capability. Simply provide the human-readable name of your source and the array of log events you wish to send.
How do I pass parameters to a pre-configured Logflare Endpoint?
Use the query_endpoint_by_name or query_endpoint_by_id capabilities and provide a JSON object in the params field. For example: {"user_id": "123", "status": "active"}.
One connection away
Give your agent a direct line to Logflare.
Connect Logflare once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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