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ContentUpdates and recent posts about FastMCP..
 Activity
@devopslinks added a new tool GitHub , 5 months ago.
Story
@laura_garcia shared a post, 5 months ago
Software Developer, RELIANOID

𝘐𝘯 𝘤𝘢𝘴𝘦 𝘺𝘰𝘶 𝘮𝘪𝘴𝘴𝘦𝘥 𝘪𝘵: Europe’s skies disrupted

Cyberattack on Collins Aerospace’s MUSE platform We shared this analysis a few months ago, but given the relevance of the topic and the growing impact of cyberattacks on critical infrastructure, it’s definitely worth resurfacing. The incident forced major airports like Heathrow, Brussels, and Berlin..

News FAUN.dev() Team Trending
@kala shared an update, 5 months ago
FAUN.dev()

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests

DeepSeekMath-V2

DeepSeekMath-V2, an AI model with 685 billion parameters, excels in mathematical reasoning and achieves top scores in major competitions, now available open source for research and commercial use.

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests
Link
@anjali shared a link, 5 months ago
Customer Marketing Manager, Last9

9 Monitoring Tools That Deliver AI-Native Anomaly Detection

A technical guide comparing nine observability platforms built to detect anomalies and support modern AI-driven workflows.

anamoly_detection
 Activity
@kala added a new tool DeepSeekMath-V2 , 5 months ago.
News FAUN.dev() Team
@kala shared an update, 5 months ago
FAUN.dev()

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight

Ansible Lustre Slurm INTELLECT-3

INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
 Activity
@kala added a new tool INTELLECT-3 , 5 months ago.
 Activity
@devopslinks added a new tool Lustre , 5 months ago.
 Activity
@varbear added a new tool Slurm , 5 months ago.
Course
@eon01 published a course, 5 months ago
Founder, FAUN.dev

Cloud Native CI/CD with GitLab

GitLab GitLab CI/CD Helm Prometheus Docker GNU/Linux Kubernetes

From Commit to Production Ready

Cloud Native CI/CD with GitLab
FastMCP is an open-source Python framework designed to simplify the development of Model Context Protocol servers. It allows developers to define MCP components such as tools, resources, and prompts using decorators, and to organize them through a modular architecture built around providers and transforms. Providers determine where components originate, including local code, directories, OpenAPI specifications, or remote MCP servers. Transforms modify components as they flow to clients, enabling namespacing, filtering, versioning, and visibility control.

The framework supports component versioning, per-component authorization, and middleware for cross-cutting concerns such as authentication and logging. It includes a built-in command-line interface for listing, calling, discovering, and installing MCP servers. FastMCP also supports session-scoped state, background task execution, OpenTelemetry tracing, pagination for large component sets, and transport options including stdio and HTTP-based protocols.

FastMCP is intended for developers building agent-compatible backends and structured tool interfaces for large language model systems that implement the Model Context Protocol.