If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning! Check my illustrated MCP explainer:
AGENTS
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FastAPI MCP Server: Convert Endpoints to MCP Tools
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🔟 FastAPI MCP server
— Akshay 🚀 (@akshay_pachaar) 11 avril 2025
A zero-config tool for automatically convert FastAPI endpoints as MCP tools and use them with Clause, Cursor or any MCP client
100% open-source. pic.twitter.com/kQNcH43WoUFastAPI MCP server A zero-config tool for automatically convert FastAPI endpoints as MCP tools and use them with Clause, Cursor or any MCP client 100% open-source.
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Browserbase MCP Server Enables Human-Like Browsing for Agents
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@browserbase
's MCP Server This server lets agents mimic human-like browsing using headless browsers. You can order food, book hotels or flights, and do anything else you can imagine. Check this out https://
github.com/browserbase/mc
p-server-browserbase
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Arcee Conductor Introduces Auto-Tool AI-Based Routing Feature
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This is CRAZY! Arcee Conductor now supports "auto-tool". That is, routing both your tool calling request and chat completion request to appropriate models using its own AI-based routing model Now why is it crazy:
– when doing tool calling, you ask for appropriate tool and then -
Flight Booking Chatbot: Intent Recognition and Entity Extraction Example
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it is interaction: user: book me a flight
(intent: flight booking, check if we have all the info: locations missing, date missing)
assistant: where do you want to go and when?
user: from london to nyc
(entity extraction, check if we have all the info: date missing)
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Early AI Agents: Building Intelligent Systems Before LLMs
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Before LLMs were cool, I made ai "agents". Can you believe it? Here's an example of one of the "agents" that I made back then:
– user inputs a query such as "book a flight to london to new york on 24th may"
– intent classification model figures out the intent: book flight
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Anthropic Quickstarts GitHub Repository Agents Section
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https://
github.com/anthropics/ant
hropic-quickstarts/tree/main/agents
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New LLM Agent Quickstart with MCP Tools and Context Management
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We just published a new quickstart – a minimal implementation of an LLM agent with MCP tools, loops, context management, based off principles from our Building Effective Agents blog post. Very helpful if you're trying to learn what an agent actually looks like in code!
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Lutra AI Agent Automates Tasks Through Vibe Codes
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@Lutra_AI Agent that vibe codes to automate tasks for you.