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Deep dives on LLMs, AI agents, and tool calling

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Featured

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

Guillaume LebedelGuillaume Lebedel ·
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
Featured

Indirect Prompt Injection Defense for MCP Tools: A Technical Guide

MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.

Guillaume LebedelGuillaume Lebedel ·
We Rebuilt Our Marketing Site with Astro, Claude Code, and Cloudflare. In a couple of evenings.
Featured

We Rebuilt Our Marketing Site with Astro, Claude Code, and Cloudflare. In a couple of evenings.

We replaced Webflow with Astro 5 + Cloudflare Pages in two weeks using Claude Code as the primary builder. 42 pages, 50 PRs — non-engineers ship independently.

Guillaume LebedelGuillaume Lebedel ·

Supercharging Research with Agents

Building an end-to-end research system live at a talk, from context files to a second brain with knowledge graphs.

Agents AI Research Engineering

Agentic Context Engineering: Why AI Agents Kill Their Own Context Windows

AI agents exceed their context windows without knowing it. Six failure patterns and seven survival architectures for agentic context engineering.

Agents MCP Engineering

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

Agents MCP AI Research

MCP Token Optimization: 4 Approaches to Fix Context Window Bloat

MCP tools eat context windows two ways: schema bloat and response bloat. Four approaches to fix it, with sourced benchmarks and honest tradeoffs.

MCP Agents Engineering

Your Agent Toolkit: MCP Server, SDK-based Toolset, or Both?

MCP promises standardization but framework support varies wildly. SDKs give control but mean vendor lock-in. The hybrid approach fills gaps that pure options leave open.

MCP Agents Using StackOne

The Two-Loop Architecture: How AI Agents Use CLI and MCP Together

MCP vs CLI is a false binary. Claude Code already uses both. Here's the two-loop architecture — CLI for local tools, MCP for remote SaaS — with setup examples.

Agents MCP Engineering

MCP vs CLI for AI Agents: When Each One Wins

MCP vs CLI for AI agents — CLI wins for local dev tools, but there's no Workday CLI. A system boundary framework for choosing the right interface.

MCP Agents Using StackOne

MCP vs API: What 200+ Connector Builds Taught Us

MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.

MCP Agents Using StackOne

Automating Meeting Sharing with a Custom Fireflies MCP Server

StackOne's Fireflies MCP connector adds write operations the Fireflies MCP server lacks. Automate meeting sharing with Claude Code.

MCP Using StackOne

Notion MCP Server: Capabilities, Limitations, and Alternatives

The official Notion MCP server handles search and retrieval well. This post covers what it can't do and when the StackOne MCP server is the right alternative.

MCP Agents Using StackOne

Indirect Prompt Injection in MCP Tools: 10 Real Examples & Defenses

See how MCP injection (indirect prompt injection through MCP tool calls) threatens your AI agents across Gmail, Slack, Salesforce and 7 other integrations, with defenses.

Agents MCP

A New Direction for Tool Orchestration

Discover how Mastra gave us the control we needed to scale API integrations with AI.

AI Research Engineering

120+ Agentic AI Tools Mapped Across 11 Categories [2026]

Map of 120+ agentic AI tools across 11 categories — frameworks, no-code builders, observability, coding agents, enterprise platforms, and more. Updated Q1 2026.

Featured Agents

Bring AI Agents to Work with StackOne

How StackOne is solving the challenge of connecting AI agents to perform actions across complex enterprise software stacks.

Agents Engineering Using StackOne

Unified API Limitations for AI Agent Integration: 7 Ways They Break

Unified APIs work for traditional software but fail AI agents in specific, measurable ways. Here are 7 problems we found after building both approaches, with examples from Workday, Greenhouse, Jira, and Salesforce.

Featured Agents Engineering MCP AI Research

AI Agent Testing: What We Found Testing Thousands of Agent Tools

We tested thousands of API actions across dozens of SaaS platforms to see if AI agents could use them. Most failures looked like successes — 200 status codes hiding errors, schemas missing fields, agents skipping steps.

Agents Using StackOne Engineering

How I Built a Customer Support Dashboard in 2 Days Using StackOne MCP

How a solutions engineer used Claude Code and StackOne's MCP tools to build an internal support triage dashboard in 2 days. Includes automated prioritisation, investigation prompts, and response drafting.

Agents MCP Using StackOne

MCP vs A2A: Architecture, Security, and When to Use Each

MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.

MCP Agents

From Handshake to Integration: Your Complete Guide to Technology Partnerships

Learn how to choose the right partnership model, negotiate effectively, launch with impact, and build integrations that keep customers happy — with practical advice for the agentic AI era.

Featured Industry Takes Agents

Gartner Says 60% of AI Agent Deployments Will Fail — The Reason Is Integration

Gartner predicts 60% of early agentic AI implementations will fail due to integration gaps. We break down their latest research and show how StackOne's connectivity infrastructure addresses every key recommendation.

Agents MCP Industry Takes

How AI Consultancies Can Get Their Clients' Agents Out of Pilot Purgatory

95% of enterprise AI pilots fail to reach production. The bottleneck isn't models or prompts — it's connectivity. Here's the three-pillar framework consultancies need to deliver agents that actually work.

Agents Industry Takes Using StackOne

Why AI Agents Are Changing the Integration Paradigm for B2B SaaS Platforms

Traditional 'build to us' integration strategies are becoming obsolete. Companies that don't enable their Agents to connect outward risk becoming legacy data sources.

Featured Agents MCP Industry Takes

The Trillion-Dollar Wake-Up Call: Make Your Agents More Capable or Become a Legacy Platform

Over $1 trillion in SaaS market value evaporated in a week. The market is pricing in a structural shift: SaaS platforms that can't power connected agents will become backend data sources.

Agents Industry Takes MCP

AI Agents Meet Gamma: Automating Presentations with StackOne Connectors

Two real examples of how we use Gamma with AI Agents at StackOne -- from prepping sales decks to presenting company structure -- all powered by StackOne connectors.

Agents Using StackOne

Building Semantic Search with Enhanced Embeddings

Adding semantic search to 10,000+ connector actions using synonym-enriched embeddings and Turbopuffer. Benchmarks, architecture, and results.

AI Research Engineering

Beyond the Lab: Solving the Context Gap to Scale Enterprise AI Agents

Most AI agents are stuck in the lab phase. The missing piece isn't intelligence — it's context. Here's how to bridge the gap between pilot and production.

Agents Using StackOne Industry Takes

MCP: What's Working, What's Broken, and What Comes Next (what a year in production has taught us)

What a year in production has taught us about the Model Context Protocol -- from authentication gaps to Code Mode and the Linux Foundation transfer.

MCP Agents Engineering

Building an Agentic Researcher

How StackOne built a self-improving agentic researcher that continuously discovers AI agent integration use-cases online and refines its search queries over time using Slack reaction feedback and DSPy optimization.

Agents Using StackOne

How to Integrate with Workday Learning via SOAP API

If you're looking to build a Workday Learning integration to push content and completions to Workday you will need to use the SOAP API, this guide covers the basics - from authentication and permissions to managing learning content and completions sync.

Using StackOne

When Your AI Agent Needs Contractors, Not Apprentices: Building Async Subagents

Explores the difference between using apprentice-like tools versus contractor-style independent agents for handling specialized tasks.

Agents Engineering

StackOne named a Gartner Cool Vendor in HR Technology 2025

StackOne has been recognized by Gartner as a Cool Vendor in HR Technology 2025 for innovative products that strengthen the employee experience.

Announcements

Building an Eval-Driven AI Feature at StackOne

Integrations break. Our new AI agent translates cryptic provider errors into clear fixes. How we built it -- and why starting with evals on day one made all the difference.

AI Research Engineering

Announcing StackOne Documents API - One API and File Picker for Your Customers' Knowledge

Integrate once to access every customer document - across cloud storage and knowledge bases - with a native picker and real-time, privacy-first architecture.

Announcements Using StackOne

Rethinking MCP: From App to Workflow Servers

After spending months building and using MCP servers for daily tasks, exploring decoupling tools from traditional app-based servers to allow bundling tools into workflow-specific servers.

MCP Using StackOne

My Dream AI Client

After months of deeply using different AI clients, identifying key product features that would make the ideal AI client.

Using StackOne MCP

Announcing our $20M Series A Led by GV (Google Ventures) to Power the Universal Integration Layer

$20 million Series A funding round led by Google Ventures, with participation from Workday Ventures and XTX Ventures, to continue building a Universal Integration Layer for B2B SaaS and Agents.

Announcements

Tools not Rules

How MCP is helping us build a more adaptable agent.

MCP Agents Engineering

Automating tasks with MCP

How StackOne uses MCP servers and tools to automate internal tasks such as raising Jira tickets.

MCP Using StackOne

StackOne ToolSet: Enabling Agentic Integrations for Hundreds of Enterprise SaaS

Introducing the StackOne ToolSet, an open-source, experimental SDK tailor-made for AI agent development.

Using StackOne Agents

Announcing StackChat - the most advanced API Assistant

Announcing StackChat: the most advanced API knowledge agent.

Announcements AI Research

Announcing StackOne's IAM API: Retrieve Comprehensive Data on User Access Across More than 80 SaaS Applications

Unveiling the latest IAM API, allowing deeper integration into customers' HR tech stack with access data across 80+ SaaS applications.

Announcements

Navigating The Shift From Features To Outcomes In SaaS

There's been a significant shift in buyer priorities, moving from features and functions, to outcomes.

Industry Takes Using StackOne

Why Privacy And Real-Time Are Non-Negotiable When Integrating with HRIS

Exploring the key reasons why real-time provisioning and offboarding is crucial for HRIS integration.

Using StackOne