mcp server
figuard-mcp
Pre-flight spend authorization for AI agents. Set a budget, enforce limits, audit every decision.
Description as published by the maintainer. Source
- version 1.2.0
- active
active — Most recent push to the repository was 2026-08-04.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 2 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-04 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 14 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.2.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-06-17 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-06-17 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
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ai.smithery/serkan-ozal-driflyte-mcp-server
— last commit 2025-10-02, shares opentelemetry
Discover available topics and explore up-to-date, topic-tagged web content. Search to surface the…
These share tags the maintainers applied themselves, such as budget-enforcement, cost-control, guardrails, langchain. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agent-billing, agentic, ai-agents, autonomous-agents, budget-enforcement, cost-control, crewai, guardrails, java, langchain, langgraph, llm, mcp, observability, opentelemetry, python, rate-limiting, spend-control, spring-boot, typescript.
This record as data
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